£Up to £65,000 GBP

Competitive Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Machine Learning Engineer

Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that address some of the most complex challenges in national security. You will work in a consultative, hands-on role, collaborating with data scientists, software engineers, product managers, and stakeholders across the full lifecycle, from hypothesis through to production deployment.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices.

You’ll have the opportunity to:

• Work alongside leading data scientists, ML engineers, and AI researchers on national security projects
• Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications
• Explore and implement ML and LLM models on complex, multi-modal datasets
• Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms
• Influence technical direction and best practice in ML and AI engineering
• Mentor and support junior engineers and graduates
• Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions

Key Responsibilities:

• Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications
• Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly
• Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
• Build and optimise ML pipelines using cloud-based platforms and experiment tracking tools
• Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
• Support production models through monitoring, performance analysis, and continuous improvement
• Apply responsible AI practices, including model explainability, fairness, and ethical considerations
• Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
• Mentor junior colleagues and share learnings across the team

Key Requirements:

• Willingness to undergo DV (Developed Vetting) security clearance
• Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
• Proven experience as a Machine Learning Engineer or equivalent role
• Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
• Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3)
• Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control)
• Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures
• Ability to absorb complex scientific and technical concepts and apply them to operational solutions
• Strong communication skills for both technical and non-technical stakeholders
• Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

• Advanced ML and LLM methods applied to national security challenges
• Deployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelines
• A broad range of data types, including text, images, audio, video, and geospatial data
• Ethical, privacy, and security considerations in AI/ML applications
• High-impact projects with government and defence clients
• Mentorship and development opportunities within a diverse, innovative environment

Why Join:

• Work on high-impact projects that directly support national security
• Gain deep exposure to cutting-edge ML, LLM, and AI technologies
• Accelerate your career in a supportive, high-performance consultancy
• Be part of a culture that values innovation, collaboration, and engineering excellence

Interested? Apply Now!

White Collar Factory (95009), United Kingdom, London, LondonDirector of Software Engineering

About this role

We are looking for a Director of Software Engineering to lead a team of 100+ engineers. We’re looking for someone who is results-oriented, able to partner with business leaders and go toe-to-toe with the best engineers on technical rigour.

You’ll be responsible for all the technologists within a series of our ‘outcome teams’: established to drive forward business outcomes. You’ll be an excellent leader of people and communicator. You’ll be able to seamlessly switch from executive-level progress conversations, to diving deep into solutions, to contributing to strategic discussions around roadmaps. You’ll be able to provide clear thinking and direction to cut through ambiguity.

You’ll be able to partner well with the local business leadership team and with enterprise stakeholders; providing objective assessments of the likely cost and risk trade-offs for different solutions, and clear paths forward.

What you’ll do

• Leadership of a team of 100+ technologists (Software Engineers and Architects): operating engineering at scale within a complex regulated environment
• Work together with Product and Design teams on the overall product roadmap for key business capabilities and goals
• Elevate great talent and ensure you have a clear agenda for development in the team. Actively manage performance across the team to develop talent over time
• Drive for effective delivery with pace and precision across the different outcome teams
• Liaising with and managing enterprise stakeholders primarily based in the US, who often have deep expertise on particular domains
• Manage a team with a blend of associates and third party engineers, and ensure effective oversight of the relevant third parties within the domain.
• Seek and share the context of the wider organisation, its purpose, commitments and opportunities to enable and engage your team with customer and organisational outcomes
• Stay up to date with the latest relevant changes in regulation and enterprise process
• Maintain broad knowledge and awareness of the latest relevant technologies and engineering practices
• Be a key voice in technical design reviews - ensuring a clear and consistent approach to engineering practices
• Support the career growth and development of the team

What we’re looking for

• You’ll have a clear track record of leading large software engineering teams, and a proven track record of driving high performance
• You’ll be able to solve complex challenges across people, process and technology. A high level of intellectual curiosity and comfort with ambiguity is essential. You will have the ability to deep dive on different technology options quickly and provide recommendations on a path forward.
• You will have excellent critical thinking skills and be able to provide thoughtful and effective counsel to leaders across the business
• You’re passionate about recruiting and developing great engineering talent
• You’ll be able to drive results quickly individually, whilst enabling others through the establishing of clear patterns and practices for engineering teams.
• You’ll possess excellent communication skills, with an ability to adapt and communicate compellingly and with authenticity to any audience (including internal and external stakeholders)
• You’ll be aware of the latest native developments within AWS and have real world experience
• You’ll have an understanding of the latest cybersecurity trends and how they impact engineering practice
• You’ll be able to work within enterprise policies/guidelines while customising to fit the UK to strike the right balance
• You’re comfortable in reaching pragmatic outcomes between short-term and long-term business needs
• Knowledge of the UK / US regulatory, consumer lending and technology landscapes (preferred)

Where and how you’ll work

This is a permanent position based in our London offices.

We have a hybrid working model which gives you flexibility to work from our offices and from home.

We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays.

What’s in it for you

• Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
• Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

• REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
• OutFront – to provide LGBTQ+ support for all associates
• Mind Your Mind – signposting support and promoting positive mental wellbeing for all
• Women in Tech – promoting an inclusive environment in tech
• EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry
• Enabled - focused on supporting associates with disabilities and neurodiversity

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Overview

The Post Trade Division in LSEG has launched a Data Transformation program called Concorde. The objective is to have a new, centralized, and secure way to manage Post Trade data on cloud native technology in AWS and Snowflake. The operating model is a federated model with Core Engineering teams based in London/Bucharest/Bangalore and Engineers based in each Business division to lead the implementation of tenancies on AWS/Snowflake.

Key Responsibilities:

• As a Lead Data Engineer for Concorde you will be a key operational and hands-on engineer delivering Business tenancies for SwapClear and Listed Rates as part of the data platform strategy execution across all areas of the business.
• You will act as a member of the Concorde program and work with product teams across SwapClear and Listed Rates to design and implement modern, scalable data solutions using a range of new and emerging technologies contributing to innovation in the data space.
• You will work on developing and supporting the AWS & Snowflake based cloud data platform as well as helping to support and migrate data from legacy platforms. This is an opportunity to play a key part in the roll-out of a new cloud-based analytics platform and the role would suit an ambitious individual keen to develop their skills and knowledge.
• You will be a self-starter who is able to manage both business stakeholders and engineering teams across multiple locations.

Required Skills:

• Design and development of automated data pipelines and data structures
• 10+ years of working with Python Programming
• 3+ years hands on data engineering experience for data warehouse solutions using Snowflake, SQL, dbt and Airflow
• 5+ years hand on experience building Event stream processing systems on Kafka or similar technology and experience in building event based services
• 2+ years hands on knowledge of building CI/CD pipelines using GitLab.
• 5+ years working with Agile Delivery teams (Scrum, Kanban) and JIRA
• Ability to build automated testing to test data pipelines
• Support transition from on-premises solutions to cloud first strategy (AWS &Snowflake)
• Up-to-date knowledge of technology standards, industry trends, emerging technologies and software development best practices
• Demonstrable experience of ITIL processes within a 2nd/3rd line support environment

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

Heimdall Manager GG14

ROLE PROFILE:

We are seeking a Senior Engineering Manager to join our Customers Identity & Access Management team at LSEG. You will play a pivotal role in maintaining and evolving our custom Secure Token Service, a critically significant component of our infrastructure that underpins secure authentication across to our customers.

This is a rare opportunity to work on a high-performance, low-latency, and highly resilient system at scale, with direct impact on the security and reliability of financial services used globally.

What You’ll be doing:

• Lead and mentor a team of Senior Developers.
• Own and evolve a custom-built application written in Go & Python, deployed in AWS, and crafted for sub-millisecond latency and 99.999% uptime.
• Implement and optimize OAuth2 and OpenID Connect flows for secure, scalable authentication.
• Collaborate with DevOps and Security teams to ensure robust observability, automated recovery, and zero-downtime deployments via Gitlab pipeline, Terraform and DevSecOps practices.
• Drive architectural decisions and mentor engineers in performance tuning, resilient design, and secure coding practices.
• Contribute to incident response and postmortems, continuously improving system reliability.

What You’ll bring:

• Experience in managing engineers, with 3+ years in deep expertise in distributed systems.
• Proven record building low-latency, high-throughput, and fault-tolerant services in cloud-native environments (preferably AWS or Azure).
• Strong understanding of OAuth2, OpenID Connect, and identity federation protocols.
• Proficiency in Linux internals, networking, and performance profiling.
• Experience with infrastructure as code, CI/CD pipelines, and monitoring tools.
• Passion for clean code, automation, and continuous improvement.
• Excellent interpersonal skills and a collaborative mentality.

What you’ll get in return:

At LSEG, we invest in excellence. You’ll be part of a high-performing team where your expertise is valued and your impact is visible. We offer:

• Competitive compensation with performance-based rewards.
• A flexible hybrid work model that supports work-life balance.
• Access to cutting-edge tools and infrastructure to do your best work.
• Opportunities for continuous learning, including certifications, conferences, and internal mobility.
• A collaborative culture that values technical mastery, ownership, and innovation.
• The chance to work on a globally critical system that powers secure financial transactions across markets.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE PROFILE:

We’re looking for an experienced DevOps Engineer to support TRADEcho, our MiFID II reporting services, hosted on AWS and operated by the London Stock Exchange Group.

The team provides cover (onsite in Sri Lanka) from 2AM through to 6PM (UK Time) Monday to Friday with the late shift being performed by on call. There is occasional weekend work required as Saturdays are used to test and roll forward software releases.

WHAT YOU’LL BE DOING:

• Act as operational SME for the product while also gaining a solid understanding of the underlying infrastructure and operations toolset
• Act as the operational SME for the product, developing strong understanding of its infrastructure and tooling while partnering closely with business and technology teams.
• Ensure full compliance with departmental processes, reducing incidents and risks through proactive analysis, accurate impact assessment, and support for development changes.
• Identify and manage operational risks, mitigate short-term while driving long-term, sustainable resolutions.
• Lead DevOps engineering within a cross-functional development pod, ensuring the platform is resilient, scalable, secure, and fully automated.
• Own CI/CD pipelines and deployment automation, applying modern DevOps and GitOps practices to improve reliability and delivery speed.
• Build and automate infrastructure provisioning using Terraform and configuration management tools, driving an automation-first culture and run the platform.
• Mentor and provide technical guidance to DevOps engineers.

WHAT YOU’LL BRING:

• Demonstrated AWS and Kubernetes expertise.
• Hands-on experience with Terraform, CI/CD tools (Git, Jenkins, Ansible), and scripting (Bash/Python).
• Ability to compose solutions for complex systems and guide teams on deployment best practices.
• Excellent communication and problem-solving skills.

Preferred Skills & Experience:

• Experience with modern tooling (DataDog, GitLab, ServiceNow), networking diagnostics, and Agile practices.
• AWS certifications and financial services background.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you!

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.
• Love solving complex real-world business problems.
• Recognize that cross-functional collaboration is a core component of success for the team.
• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.
• Have become a stronger engineer by making mistakes and learning from them.
• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.
• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.
• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.
• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.
• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.
• Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

Project Overview

Our middle office transformation initiative will completely transform our business workflows by delivering efficiency across processes, providing our investment teams with more accurate and timely access to positions, P&L, and performance. In this role, you will:

Responsibilities:

Platform Development and Management

• Build and maintain supporting components, including data infrastructure and reporting tools within the middle office ecosystem.
• Ensure high performance and scalability through best practices in software architecture and rigorous testing protocols.
• Provide Level 3 support for middle office applications.

Collaboration & Stakeholder Engagement

• Work closely with Portfolio Managers & Operations to gather requirements and provide technical solutions.
• Translate various financial asks into tangible, production-quality software.

Code Quality & Best Practices

• Uphold industry best practices in coding, design patterns, and application development.
• Mentor junior team members and perform code reviews to maintain high-quality standards.

Requirements:

• BS/MS/PhD in Computer Science, Mathematics, or a related technical field.
• 4+ years of hands-on software development experience in Java and Python
• Experience in developing cloud-ready, distributed, large-scale, data-intensive applications
• Strong understanding of data structures, algorithms, OOP, and design patterns
• Experience with data modelling, relational and NoSQL databases, and RESTful APIs.
• Experience with Kafka and other real-time messaging systems
• Experience with distributed caching technologies such as Memcached, Ignite, etc.
• Proven experience in database development and SQL
• Deep financial knowledge of transactions, positions, P&L, or performance management.
• Experience working in a fast-paced, dynamic environment
• Familiarity with cloud platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake) is a plus

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

£Up To £115,000 GBP

Performance Bonus

Hybrid WORKING

Location: UK Wide , Central London, Greater London - United Kingdom Type: Permanent

AWS Solution Architect (Senior Manager) - London

Location: London, UK

Salary: Up to £115,000

Hiring on behalf of: A confidential global technology & consulting client

Clearance: BPSS and SC clearance (requires 5 years of continuous UK address history).

We are partnering with a major international organisation that is expanding its senior cloud leadership team in London. They are seeking an exceptional AWS Solution Architect (Senior Manager) to drive large-scale cloud transformation programmes, define cloud strategy, and lead multi-disciplinary teams delivering cutting-edge cloud solutions.

If you excel at shaping cloud strategy, architecting enterprise-scale AWS solutions, and influencing senior stakeholders - this is a high-impact opportunity within a world-class technology environment.

About Our Client

Our client is a globally recognised professional services and technology organisation, delivering cloud, digital transformation, and advisory services across multiple industries.

They invest heavily in innovation, talent development, and industry-leading practices - making this a standout role for senior technologists looking to elevate their careers.

This is an opportunity to work with tier-1 clients, lead critical cloud initiatives, and help shape the strategic direction of a rapidly growing cloud practice.

Team & Culture

You will be part of a high-performing cloud architecture team known for:

• Close collaboration from cloud strategy through to delivery
• Access to leading experts across cloud, AI, data, and engineering
• A culture built on innovation, continuous learning, and shared success
• The opportunity to work with some of the biggest and most complex organisations in the UK

This is an environment for leaders who enjoy solving strategic challenges and shaping the future of enterprise cloud adoption.

What You’ll Do

As a senior leader in the cloud practice, you will:

• Define cloud strategy and governance models for enterprise AWS adoption
• Set cloud architecture standards aligned with complex business goals
• Drive innovation across data, AI, security, DevOps, and multi-cloud ecosystems
• Lead large-scale transformation programmes (data centre exit, legacy modernisation, cloud-native rebuilds)
• Ensure cloud solutions meet regulatory, security, and compliance frameworks
• Present cloud strategies to C-suite and steering boards
• Mentor architects, consultants, and managers to build technical capability within the team
• Act as a cloud evangelist, educating customers on cloud value and best practice

This role blends hands-on architecture, strategic leadership, and stakeholder influence.

What Our Client Is Looking For

Experience

• Extensive hands-on experience designing and delivering AWS cloud solutions
• Proven leadership of large transformation programmes

Certifications & Education

• AWS Professional or Associate certifications (e.g., Solutions Architect, DevOps Engineer)
• Bachelor’s or Master’s in Computer Science, Engineering, or related discipline

Architecture Expertise

Business Architecture

• Ability to translate business requirements into secure, scalable cloud architectures
• Skilled in cost optimisation and cloud best practices

Data & AI

• Strong understanding of data platforms, analytics solutions, and AI/ML-driven architectures

Application Architecture

• Experience with serverless, microservices, and containerised workloads
• Familiarity with CI/CD pipelines and DevOps practices

Security Architecture

• Deep knowledge of IAM, encryption, compliance frameworks
• Ability to enforce security controls across cloud environments

Integration Architecture

• Knowledge of event-driven patterns, API design, and hybrid connectivity

Non-Functional Requirements

• Expert in designing highly available, fault-tolerant and resilient systems
• Experience with observability, monitoring, disaster recovery and performance tuning

Governance & Compliance

• Knowledge of cloud governance, cost allocation, account management, and auditing

Desirable Experience

• AWS Specialty certifications (Security, Networking, Machine Learning)
• Experience with Azure or Google Cloud

Why This Role Stands Out

Joining our client as a Senior Manager means you will:

• Influence cloud strategy at enterprise scale
• Lead high-value, transformative programmes across multiple sectors
• Work with cutting-edge AWS technologies on complex technical challenges
• Access exceptional career development pathways and certifications
• Receive a competitive package including 30 days annual leave, private medical cover, and additional charity leave
• Enjoy flexibility, autonomy, and high visibility across the organisation

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.

The Strat team is responsible for designing, building and maintaining the code that handles the data priming, the model execution and the post-processing of the solution into a format that clients can consume. The biggest component of the role is writing and testing code, which is written in python, so it is important to enjoy coding and be comfortable with designing and writing code in a large, shared codebase. Being comfortable with inter-library dependencies, python package management and continuous development practices is also crucial.

In addition to building the calculations, the Strat team is on the front-line when it comes to executing the multilateral optimization runs, which occur multiple times a week. This requires a high level of engagement with our Production team, to provide timely support during runs and help resolve issues as they arise in real time. A client-focused approach is therefore of paramount importance for the role. Successful candidates will build and support one or more of Quantile products. They work directly with our Production and Product Development teams to enhance the products based on feedback from clients and analysis of runs, as well as on strategic projects. We are looking for a junior quantitative developer to work on our optimisation services development and analytics.

Examples of recent projects include:

• Implement improvements to our IR LCH compression algorithm.
• Extend our LCH compression service suite extending it to FX product.
• Enhance our couterparty Risk optimisation with new constraints and features
• Enhance our support for hedge funds and clearing brokers in initial Margin optimisations
• Improve the runtime performance by reducing the data set and solution search space
• Improve data flow, minimising manual steps, avoiding task duplication, and building an event-driven architecture

Responsibilities:

• Develop enhancements to the service model libraries to add new features and/or improve others. This will be a mix of strategic projects (3-6 months) and shorter-term tactical changes

• Become familiar with the data flow and the run processes and continually strive to improve them

• Investigate how to tune the model to create desired outcomes for clients

• Support live runs

Essential:

• 2-5 years of professional experience building quantitative, data intensive products in python
• Excellent understanding of software development best practices (such as functional and OO paradigms and standard design patterns) and design principles (SOLID)
• Excellent understanding of commercial development practices such as testing, documentation, package management and SDLC
• Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must
• Excellent problem-solving skills
• Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience)

Desirable

• Knowledge of UNIX & AWS
• Understanding of linear and mixed integer programming, and convex optimisation
• Experience with at least one commercial or open-source optimisation library or a mathematical modelling language
• Understanding of financial derivatives, margin and counterparty credit risk measures
• A solid mathematical background (numerical methods, linear algebra, partial differential equations, probability & statistics)

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

You’ll be developing components for a research and trading platform used by quant researchers and portfolio managers, handling data from a wide range of sources, and optimizing performance for simulation and live execution. Python is the primary language used throughout the stack, making strong fluency essential. Core Responsibilities 1. Contribute to the architecture, testing, and performance tuning of a scalable trading and backtesting platform. 2. Build reliable, production-grade tools that enable researchers to access, clean, and analyze market and alternative data. 3. Collaborate with engineers and quantitative researchers to support model development and operational workflows. 4. Investigate and resolve software issues in live and simulation environments; contribute to code quality and robustness. What We’re Looking For 1. 1–3+ years of professional Python development experience (finance background not required). 2. Solid engineering mindset with an ability to design clean, modular code for long-term maintainability. 3. Comfortable working with relational databases; experience with data pipelines is a plus. 4. Clear communication skills and the ability to contribute to a collaborative, fast-paced team environment. 5. Strong academic background in a STEM subject from a leading university. Bonus Points 1. Familiarity with cloud-native technologies (e.g. AWS, GCP) and containerized environments. 2. Exposure to CI/CD workflows or DevOps practices. 3. Enthusiasm for test-driven development and clean deployment processes. 4. A genuine interest in quantitative finance or systematic trading systems. 5. Eligibility to work in the UK is required. If you’re a Python developer who enjoys solving complex problems with real-world impact—and wants to learn about quantitative trading in the process—this role offers a front-row seat.

Role Overview: 1. Drive research into short-horizon, high-frequency trading signals with typical holding periods of several hours to a few days 2. Take ownership of execution and market microstructure research, helping optimize trading strategy design and implementation 3. Collaborate with a cross-functional team of researchers, technologists, and portfolio managers in a highly iterative, data-driven workflow 4. Build and oversee a small, high-caliber team of junior researchers (2–3 people), contributing to both leadership and hands-on research 5. Leverage a modern research stack that includes distributed computing environments (e.g. AWS, Slurm), large-scale data tools (e.g. kdb+, Exasol), and advanced methods in statistics and machine learning Ideal Candidate Will Have: 1. 3+ years of experience in a quantitative trading or research role at a hedge fund, proprietary trading firm, or sell-side algo desk 2. Demonstrated contributions to alpha generation or strong potential to do so in a collaborative environment 3. Strong academic credentials (First Class, Honours, MSc or PhD) in a quantitative or technical field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance 4. Familiarity with high-frequency or tick-level data and an ability to derive actionable insights from complex datasets 5. Proficiency in Python or C++; experience with distributed computing and low-latency research environments is advantageous 6. Strong preference for candidates with kdb+/q experience and familiarity with execution protocols such as FIX 7. Confident communicator, able to clearly explain concepts, defend ideas, and work collaboratively with non-research stakeholders

Technical Lead - C++, Securities Technology

Role Profile

Part of the London Stock Exchange Group (LSEG), LCH is a leading clearing house, serving major international exchanges and platforms, as well as a range of OTC markets. In particular, LCH is a leading CCP in Equity and Repurchase agreement (Repo) businesses, providing clearing services for most European Government debts (refinancing/repo transactions) and Equities trading venues (Exchanges and MTFs).

LCH works closely with market participants to identify and develop innovative clearing solutions and other digital products to enhance clearing experience.

As part of the Securities Technology, the team is accountable for:

• Designing and Building Equities and Repo Clearing systems
• Implementation of Clearing solutions
• Testing the changes made to the platform
• Writing business requirements
• Prototyping and testing (UAT)
• Non-Functional testing is also critical.

A resilient clearing solution is essential to the company as our clients rely on us to be highly resilient.

The department is looking to onboard a Technical Lead to help deliver business change, while also improving our SDLC and time to market.

Key Responsibilities

Role:

• Understanding the flow of code and how it interacts with different components and good software design principles.
• Understanding project documents, customer demands, and product objectives to create and execute test cases.
• Working on ways to automate and improve existing release processes.
• Setting up, maintaining test automation frameworks, and building test scenarios and acceptance tests.
• Investigating customer problems referred to you by the technical support team, testing bugs.
• Working with Product Owners and end user to define and scope delivery.
• Handling technical communications and understanding existing systems.
• Working with deployments teams, coordinating on product design, and offering inputs on the testability of functional elements and product designs.
• Researching test tools, methodologies, and trends and upgrading existing practices and processes.
• Managing the final quality on production release.
• Architecting systems with resilience and high availability.

Candidate Profile / Key Skills

• 14+ years of experience in OO Development in C++
• Experience in design and development of distributed systems.
• Sound knowledge in modern versions of C++ (11 onward)
• Excellent knowledge of inter process communication and
• Experience using and building CI/CD pipelines
• Knowledge of databases and SQL.
• Linux/Unix experience is essential.
• Server-side Development is a must.
• Sound conceptual / technical knowledge of modern IT infrastructure stack
• Autonomy, problem solving skills.
• Effective communication skills (written and oral).
• Understand how to build highly resilient solutions
• Conversational level or above in English.

Non-Essential Skills

• Working knowledge in Java
• AWS or another Cloud provider
• Redhat Linux
• Scripting knowledge Bash/Perl/Python

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

Our People:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

Role Summary

We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise-grade standards.

You will contribute to the strategic direction of our ML platform-spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross-account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework.

This is a highly hands-on, highly technical, principal-level role that combines architectural vision with deep practical expertise in ML engineering and AWS-native MLOps.

Key Responsibilities

Technical Leadership & Architecture

• Define the end-to-end ML architecture for the matching platform, including data pipelines, model training workflows, inference runtimes, and telemetry ecosystems.
• Lead adoption of best-in-class MLOps patterns, platform tooling, and AWS SageMaker capabilities across training, processing, registry, monitoring, and deployment.
• Partner with platform, security, and data engineering teams to implement scalable data lakehouse oriented feature architectures and enterprise-grade ML governance.
• Champion engineering standards for model quality, documentation, observability, and platform resilience.

Feature Engineering & Data Architecture

• Architect highly scalable, production-ready feature pipelines within Lakehouse environments.
• Set the technical direction for fallback and resilience strategies (e.g., fallback pipelines).
• Establish and enforce data-quality guardrails, validation schemas, and monitoring frameworks.
• Drive adoption and standards for enterprise feature stores.

Model Development & Technical Excellence

• Lead the design of ranking, scoring, and similarity models tailored to the matching platform requirements.
• Define model calibration, scoring logic, confidence thresholds, and optimisation strategies.
• Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost.
• Review and approve technical designs for complex modeling workflows.

Explainability & Regulatory-Grade Reasoning

• Establish explainability standards across the ML stack, using SHAP or equivalent frameworks.
• Define patterns to generate regulator-ready reason codes, aligned with compliance requirements.
• Ensure explainability artefacts are accurate, robust, and traceable across model versions.

ML Deployment & Automation (MLOps)

• Architect automated training, deployment, and retraining pipelines using AWS SageMaker.
• Set standards for model registry usage, automated approvals, and rollback orchestration.
• Drive infrastructure-as-code and CI/CD maturity for ML systems across multiple environments.
• Lead design of enterprise-wide weight-update patterns and lineage-aware deployment strategies.

Inference Runtime & Cross-Account Productionisation

• Architect low-latency, high-throughput inference services that meet strict matching platform SLAs.
• Lead the design of secure cross-account IAM patterns for model consumption.
• Own end-to-end telemetry design, including scoring metrics, latency, error analytics, and SLOs.
• Partner with platform teams to optimise cost, scale, and reliability of inference endpoints.

Monitoring, Drift Detection & Observability

• Define observability standards for feature drift, concept drift, performance degradation, and data integrity.
• Lead the creation of dashboards, benchmarks, and automated alerting across the ML ecosystem.
• Ensure telemetry pipelines adhere to privacy, data minimisation, and compliance policies.
• Drive adoption of proactive failover, shadow-mode testing, and continuous validation patterns.

Security, Compliance & ML Governance

• Set and enforce ML-specific security standards including data minimisation, encryption, and PII handling.
• Oversee creation of Model Cards, lineage artefacts, and compliance documentation.
• Ensure ML systems meet governance standards for auditability, reproducibility, versioning, and traceability.
• Collaborate with InfoSec and Risk teams to define ML governance frameworks and secure cross-environment workflows.

Testing, Validation & Performance Engineering

• Lead validation strategies using golden datasets, behavioural tests, and benchmark suites.
• Architect performance testing for latency-sensitive inference paths and model hot paths.
• Establish standards for A/B testing, shadow deployments, canary rollouts, and controlled experiments.

Principal-Level Skills & Experience

Essential

• Proven track record architecting and delivering production ML systems at scale in enterprise environments.
• Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services.
• Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).
• Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management.
• Advanced experience designing explainability systems, reason codes, and governance artefacts.
• Expertise in low-latency inference architectures and real-time model serving.
• Strong grounding in drift detection, telemetry pipelines, observability patterns, and model QA.
• Experience shaping ML security practices, including cross-account IAM, data minimisation, and PII-safe design.
• Ability to influence architecture, mentor senior engineers, and set long-term technical direction.

Nice to Have

• Experience building or leading feature store adoption.
• Background in ranking, search relevance, entity matching, or similarity modelling.
• Experience designing or governing multi-account AWS ML platforms.
• Knowledge of distributed training, GPU/accelerator optimisation, and scaling strategies.
• Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent degrees.
• Masters or PhD or equivalent experience in STEM desirable but not essential

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Role Profile

The successful candidate for the Engineer, Post Trade role, will be working with the Director Technical Delivery Solution and Delivery, will form part of a team building a complex, ground-up cloud-based critical market infrastructure service in a bold new venture for LSEG. This opening requires a candidate who takes great pride in delivering excellence with excellent logical and technical skills and a can-do attitude combined with a helpful mentality, and a wish to play a critical role in forming and growing a new business.

Key Responsibilities

A strong focus on engineering excellence and coding, adopting an open and hands-on approach to problem-solving and delivery. Engage deeply in technical design and implementation to ensure solutions are robust, scalable, and aligned with industry standards. Actively contribute to all stages of the product engineering life cycle-solutioning, design, coding, and testing-while promoting collaboration and transparency within the team to drive high-quality outcomes.

Demonstrate ownership and pride in work, proactively taking on new responsibilities aligned with product engineering needs. Embrace and apply LSEG engineering principles, diving deep technically to build with purpose and foster excellence within the team through open collaboration. Create an environment of engagement, challenge, and constructive questioning, ensuring trust and respect are maintained and a strong one-team mentality is upheld

Key Skills and Experience

Event driven microservices architecture

• Strong understanding of microservices design, including pitfalls and best practices.
• Knowledge of Domain-Driven Design (DDD) and event-driven architecture principles.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Skilled in event-driven patterns for efficient and robust communication.
• Expertise in building and maintaining DevOps pipelines, ideally with GitLab.
• Proficient in shift-left testing using tools like JUnit, Cucumber, Gherkin, PACT, and Test Containers.
• Working knowledge of event/message brokers such as Kafka and MQ.

Advanced Java

• Strong experience in Object-Oriented Programming (OOP).
• Advanced knowledge of Java 17+ features and practical experience with Spring Boot.
• Skilled in developing RESTful services, including REST design principles, Swagger/OpenAPI, and Spring REST MVC.
• Proficient in building and delivering enterprise-grade Java applications.
• Hands-on experience with data structures, algorithms, concurrency, and multi-threading.

Database Management

• Strong SQL knowledge with experience in relational databases such as Postgres.
• Working knowledge of object storage solutions, e.g., AWS S3.
• Familiarity with database version control tools like Flyway and Liquibase.

Cloud Architecture

• Experience working with major public cloud platforms, preferably AWS.
• Hands-on use of cloud-based services such as AWS Aurora, MSK, S3, and IAM.
• Basic understanding of cloud networking concepts.

Blockchain Integration and Interoperability

• Understanding of blockchain fundamentals, including consensus mechanisms and smart contracts.
• Knowledge of interoperability protocols
• Experience integrating blockchain solutions with existing enterprise systems.
• Familiarity with cross-chain communication and bridging technologies.
• Awareness of security considerations in blockchain integration (e.g., cryptographic standards, key management).
• Knowledge of token standard and transaction lifecycle.

Agile Ways of Working

• Strong understanding and commitment to the ethos of agile working.
• Experience working within Scrum and Kanban frameworks.
• Active participation in sprint ceremonies, including Product Backlog Refinement.
• Proven collaboration with cross-functional teams in scaled agile environments.

Key Behaviours

• Delivery-focused: Committed to meeting deadlines and managing stakeholder expectations.
• Accountable: Takes ownership and responsibility for outcomes.
• Collaborative: Works effectively within cross-functional teams and fosters teamwork.
• Communicative: Champions clear, respectful, and constructive communication.
• Quality-driven: Maintains high standards in code quality, testing, and CI/CD practices.
• Adaptable & Innovative: Eager to learn, improve, and embrace new technologies.
• Critical yet Respectful: Challenges ideas constructively while maintaining professionalism.
• Engineering Mindset: Passionate about solving problems and minimizing complexity.

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Compensation: Competitive (Financial Services)

About TradingHub

Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.

With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role

We are hiring a hands-on AI Engineer to own the design and delivery of a customer‑facing compiler and interface that allows users to performance financial markets analytics via natural language. Working as part of our Web team, the ideal candidate will hold working knowledge of LLMs and AI agents and some level of familiarity with web frameworks.

Responsibilities:

• Own the end‑to‑end design and implementation of a customer‑facing AI capability integrated into our trade surveillance platforms
• Build and evolve a multi‑layered AI agent capable of interpreting natural‑language user queries and consulting documentation to generate appropriate responses
• Ensure generated results are presented clearly to users as well as the reasoning behind decisions
• Integrate AWS Bedrock with our web backend to support LLM‑driven reasoning and workflows
• Develop frontend components to surface AI outputs, user prompts, and confirmation flows for AI‑initiated actions
• Work closely with cross-functional stakeholders e.g. product to ensure solutions are robust, explainable, secure and scalable

Requirements

• Full stack software engineering experience with a strong track record of building and owning complex, production systems
• Demonstrated experience designing and delivering AI‑powered features that solve real customer problems
• Deep familiarity with LLMs, AI agents and conversational systems, including their practical limitations
• Solid theoretical understanding of machine learning fundamentals, including neural networks and transformer architectures
• Experience with cloud‑based AI platforms such as AWS Bedrock is desirable
• Experience using AI‑assisted development tools (e.g. Copilot or similar) to improve engineering productivity

Benefits

Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.

Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

• Annual discretionary performance bonus (permanent employees only)
• Hybrid working policy
• Office lunches twice a week
• Private medical insurance + dental cover
• Extended parental leave (up to 6 months of fully paid maternity leave)
• 25 days annual leave + bank holidays
• Enhanced company pension plan
• 5 days study leave towards professional qualifications
• Salary sacrifice schemes
• Death in service coverage

Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don’t let our specification hold you back. Get in touch!

TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.

We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

Senior Backend Engineer The Senior Software Engineer will join a high-performing backend engineering team responsible for building and scaling modern, cloud-native platforms that power customer-centric financial products. You’ll play a key role in designing and delivering resilient, secure, and high-performance systems, working within collaborative squads focused on solving real-world problems at scale. This role sits within an innovative, fast-growing environment that blends the agility of a startup with the backing and stability of a global financial institution. You’ll be instrumental in shaping architecture, influencing engineering standards, and mentoring engineers while delivering impactful solutions. Company Highlights: 1. Backed by a globally established financial institution with significant investment in digital innovation 2. Startup-like environment with a strong engineering-first culture sitting on top of an established user base (circa 70M+ Users) 3. Customer-centric mission focused on building modern financial products from the ground up 4. Highly collaborative structure with cross-functional squads and real ownership 5. Strong emphasis on diversity, inclusion, and continuous learning 6. Cutting Edge Technology - Java 25 and Kotlin, cloud-native infrastructure as well as unlimited Claude 4.6 usage Role Overview: Opportunity to be a founding engineer as part of a Greenfield build out of a Fintech, backed by a major Investment Bank. You will have autonomy and ownership of the platform with the scope of influencing architectural decisions and seeing it through to production. Key Responsibilities: 1. Design and build scalable, high-quality backend systems using modern engineering practices 2. Apply domain-driven design principles to create robust and adaptable services 3. Ensure systems are resilient, fault-tolerant, and free from single points of failure 4. Develop secure, production-ready code with a focus on performance and reliability 5. Own the full lifecycle: from design and development to deployment and optimisation 6. Troubleshoot production issues and implement long-term fixes to prevent recurrence 7. Enable seamless, zero-downtime deployments for critical services 8. Optimize data access patterns and storage solutions for performance and scalability 9. Continuously improve system observability, monitoring, and operational excellence 10. Mentor engineers and contribute to a strong engineering culture Tech Stack: 1. Strong experience with JVM-based languages (Java and/or Kotlin) 2. Experience building microservices and distributed systems at scale 3. Cloud-native development (AWS, GCP, or Azure) 4. Containerization and orchestration (Docker, Kubernetes) 5. CI/CD pipelines and modern DevOps practices 6. Experience with event-driven architecture and messaging systems (e.g. Kafka) 7. Strong understanding of APIs, RESTful services, and system design 8. Database experience (SQL and/or NoSQL) 9. Familiarity with observability tools and monitoring frameworks Ideal Candidate Profile: 1. Strong problem-solving mindset with the ability to take ownership of complex challenges 2. Passion for clean code, maintainability, and long-term system design 3. Collaborative approach with a focus on knowledge sharing and team success 4. Adaptable and comfortable working in fast-paced, evolving environments 5. High standards for engineering quality and ethical decision-making 6. Commercial awareness and interest in fintech or digital banking

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.

Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.

We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.

As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

Role profile:

We are looking for a Manager - Site Reliability Engineering to strengthen the Production Management leadership team of Clearing Technology Service. This role demands a proactive and hands-on leader with deep technical expertise and strong critical thinking.

Role summary:

You will be responsible for ensuring stability, resilience, and performance of our production systems while driving continuous improvement and SRE best practices across the platform.

What you’ll be doing:

• Service Ownership

Assume end-to-end accountability for Clearing production environment, ensuring high availability, optimal performance, and robust resilience of business-critical systems.

• Incident Management & Crisis Leadership

Act as Incident Commander during major incidents, leading resolution efforts, managing stakeholder communications, and driving root cause analysis and remediation.

• Team Leadership & Talent Development

Build and mentor a high-performing SRE team. Promote a culture of accountability, continuous improvement, and blameless postmortems to enhance operational excellence.

• Operational Excellence & SLA Compliance

Ensure consistency to response and resolution SLAs. Oversee efficient ticket management and escalation processes through ServiceNow, removing blockers promptly.

• Stakeholder Engagement & Relationship Management

Develop strong partnerships across LCH and LSEG teams. Ensure timely delivery of business-critical activities and transparent communication of risks and challenges.

• Process Optimisation & Continuous Improvement

Monitor and analyse technical processes to identify improvement opportunities. Implement enhancements to minimise business disruption and improve operational efficiency.

• Risk Management & Compliance

Ensure compliance with regulatory standards and internal governance. Proactively identify and mitigate operational risks.

• Metrics & Observability

Establish and maintain robust observability practices, employing metrics, logging, and tracing to drive data-driven decisions and improve system health.

• Out of hours support / On-call support
• Be available for overnight support of production services to ensure successful completion of processing
• Respond to overnight calls and deal with issues
• Participate in Disaster Recovery exercises

What you’ll bring:

Education:

• Degree educated or equivalent work experience

Required skills and experience

• Number of years in Production Support / SRE roles with at least 3 years in a leadership capacity.
• Deep technical expertise in Oracle database - troubleshooting, scalability, performance tuning and optimization.
• Demonstrated experience implementing SRE frameworks - including SLOs, SLIs, incident management, and chaos engineering.
• Experience leading teams supporting systems deployed across mixed infrastructure (Cloud and On-Premise, AWS preferred)
• Solid understanding of change management, risk posture, and production readiness.
• Strong track record of delivering automation at scale, reducing toil, and eliminating manual operational tasks.
• Excellent communication and stakeholder management skills, particularly under pressure.
• Expertise in automation (Python, Shell, PowerShell etc.)
• Familiarity with observability tools and practices (metrics, logging, tracing).
• Ability to lead capacity planning and scalability strategies to support growth.
• Knowledge of clearing and settlement processes in financial markets.
• Familiarity with regulatory requirements and governance frameworks in financial services.
• Demonstrated ability to build, mentor, and retain high-performing SRE teams.
• Good communication and stakeholder management skills under pressure.

Person Specification

• Demonstrable experience managing SRE or Production Support teams in a critically important financial services environment
• Experience managing teams located across multiple locations and time zones.
• Excellent analytical skills, Attention to detail and problem-solving abilities.
• Solid technical background in the core technologies with several years of experience.
• Ability to communicate clearly and concisely to IT and business teams and to senior management
• Ability to break down complex technical issues into easy to digest format
• Familiarity with financial products and terminology.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

The Lead Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Lead delivery of Real-Time and On-Demand Risk enhancements for the Credit Business by partnering directly with London-based trading, MQA, Market Risk, and technology teams.
• Own the full development lifecycle: architecture, design, implementation, automated testing strategies, release execution, and ongoing production support.
• Drive alignment of RT/OD workflows with EOD Risk strategy, ensuring functional parity, reconciliation, and controlled cutover.
• Lead adoption and build-out of RT/OD capabilities on strategic risk platform, including integration of new analytics, workflows, and risk datasets.
• Deliver significant performance improvements through optimized risk calculation strategies.
• Guide the migration of compute workloads to AWS, implementing best practices for scalability, throughput, resiliency, and cost efficiency.
• Collaborate actively with NAM and APAC teams in a follow-the-sun model to improve delivery velocity, reduce operational risk, and ensure rapid triage of production incidents.
• Provide user-facing updates, demos, documentation, and education to promote adoption and ensure successful rollout of new capabilities.
• Lead root cause analysis on production issues, drive long-term stability improvements, and strengthen monitoring and observability across the platform.

Recommended Experience:

• Strong experience in Core Java, J2EE, Spring Framework
• Exposure to Python scripting and data analysis
• Experience in fast moving Capital Markets Front Office technology environment with experience in Fixed Income products
• Working knowledge of Front Office Risk calculations, especially for Credit products
• Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc.
• Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc
• Proficient in latency measurement and performance optimization of Java based platforms with focus on JVM tuning
• Experience with observability stacks like ELK, Prometheus, Grafana, Kiali, Jaeger etc.
• Sound knowledge for persistence technologies such as relational databases, NoSQL databases, off heap storages and distributed caches
• Hands-on knowledge of Linux / Unix
• Experience working with senior Quants and Technology Managers
• Good verbal and written communication

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Visit ourGlobal Benefitspage to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Lead Machine Learning Engineer Location : London Days in office : 2 days onsite Contract length : 6 months Contract engagement: inside IR35 We are looking for a Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) to design, build, and productionise machine learning models that power our new matching platform. You will work across the full ML lifecycle - feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability. In this role, you will make strong hands-on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance. This role is suited to an experienced engineer who can deliver production-grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor. Feature Engineering 1. Build and maintain scalable feature pipelines within data lakehouse architectures. 2. Develop fallback feature flows (e.g., export paths). 3. Implement robust data quality checks and contribute to the adoption of feature store patterns. Model Development & Scoring 1. Develop ranking, scoring, and entity-similarity models fit for the matching platform. 2. Implement calibrated confidence scores, thresholds, and model scoring logic. 3. Use modern ML Model frameworks such as PyTorch, TensorFlow, or XGBoost. 4. Collaborate with data scientists on model design and performance improvements. Explainability & Reason Codes • Apply SHAP or similar techniques to generate interpretable model explanations. • Produce reason codes suitable for business, operational, or regulatory consumption. • Ensure explainability outputs are versioned, tested, and integrated into inference workflows. ML Deployment & MLOps 1. Build and maintain training, processing, and inference pipelines using AWS SageMaker. 2. Integrate models with model registries and implement automated deployment patterns. 3. Support rollback and redeploy mechanisms for weight updates or model iterations. 4. Contribute to CI/CD improvements for ML-specific workflows. Inference Runtime & Cross-Account Serving 1. Deploy and optimise low-latency, real-time inference endpoints. 2. Implement secure AWS IAM patterns supporting cross-account inference access. 3. Build telemetry for request logging, performance tracking, and latency monitoring. 4. Solve runtime issues and optimise throughput and cost. Monitoring, Drift Detection & Telemetry 1. Implement feature drift and concept drift monitoring. 2. Build dashboards, alerts, and critical performance metrics to detect model degradation. 3. Develop telemetry and logging frameworks that respect data minimisation principles. Security, Compliance & ML Governance 1. Apply procedures for data handling, encryption, PII minimisation, and auditability. 2. Produce Model Cards, documentation, and lineage artefacts needed for governance. 3. Ensure that ML pipelines meet internal standards for reproducibility and traceability. Testing, Validation & Performance 1. Conduct validation of models using golden datasets, baseline tests, and regression testing. 2. Optimise models for latency-sensitive inference paths. 3. Support A/B tests, shadow deployments, and progressive rollout strategies. Essential 1. Strong experience delivering production ML systems end-to-end. 2. Proficiency with AWS SageMaker (training jobs, processing, endpoints, Model Registry). 3. Excellent Python skills and experience with ML Models such as PyTorch, TensorFlow, or XGBoost. 4. Hands-on experience with model explainability tools such as SHAP. 5. Understanding of low-latency, real-time inference patterns and optimisation techniques. 6. Experience implementing drift detection, monitoring, and telemetry. 7. Working knowledge of ML governance, data privacy, and secure ML practices. 8. Strong understanding of MLOps, CI/CD, and automation for ML workflows. Nice to Have 1. Experience working with feature stores or Lakehouse data architectures. 2. Previous experience with ranking, matching, or similarity models. 3. Familiarity with cross-account AWS IAM patterns and multi-account design. 4. Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent 5. degrees.

£45,000 - £70,000 GBP

£7k Annual DV Bonus, 2.5% company performance + more!

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Role : Cloud Engineer

Location : London, Manchester or Leeds

Salary : £45,000 - £70,000 per annum

Security Clearance : Eligibility to undergo DV Clearance with the UK Government

• General Eligibility is 10 years of UK Residency with Sole British Citizenship

Package :

• £7,000 annual DV bonus + 2.5% company performance bonus.
• 25 days holiday (+5 buy/sell) + bank holidays; 6% employer pension + 3% personal.
• Six-monthly performance reviews; hybrid/flexible working; private medical/dental.
• Career development via dedicated manager, training, and bonus scheme participation.

Role Overview

A Senior Cloud Engineer is required to join a leading national security consultancy delivering high-impact solutions for UK government clients. This role focuses on designing, building, and managing secure AWS cloud architectures in a DV-cleared environment. Based in Gloucester with hybrid flexibility, you will contribute to mission-critical projects requiring innovation and technical leadership.

About the Organisation

This organisation operates at the forefront of digital intelligence and national security, employing thousands of experts across multiple countries to handle complex data challenges for governments and defence sectors. Their national security division is expanding rapidly, supporting strategic client engagements while fostering community tech initiatives. They emphasise diverse, multidisciplinary teams to drive cutting-edge outcomes in regulated environments.

Responsibilities

• Design and implement cloud-native architectures using AWS services.
• Deploy infrastructure via IaC tools such as Terraform, CloudFormation, or CDK.
• Manage infrastructure creation, networking (including SDN), and container orchestration (Kubernetes, ECS, OpenShift).
• Oversee software configuration, source repositories, and security best practices.
• Liaise with stakeholders, create implementation patterns, and lead teams for senior contributors.
• Ensure compliance with DV clearance standards and leverage AWS security features.

Candidate Profile

• Proven expertise across AWS services with commitment to staying current on releases.
• Hands-on experience with IaC (Terraform/CDK preferred), configuration management (Ansible, Puppet, Chef), and scripting (Python, Bash, Go).
• Strong knowledge of cloud networking, container systems, and security implementation.
• AWS certifications advantageous; senior-level experience in government or defence sectors essential.
• Resourceful team player comfortable in hybrid, high-stakes settings.

We have a current opportunity for a Head of Azure Platform Security on a permanent basis. The position will be based in London. For further information about this position please apply. ETrading client operates infrastructure that is genuinely critical - trading systems processing billions in daily notional value, client-facing platforms serving institutional counterparties, and cloud environments holding sensitive market and counterparty data. This role is for a cloud security architect who has never stopped being an engineer: someone who can model a threat, design the control, write the detection rule, and deploy the fix - all in the same day. You will not write policies and hand them to other people to implement. You will build and operate our security controls directly, hands on, end to end. Requirements - Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered - Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments - WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale - Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns - SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard - Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models - API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration - PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments - Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them - MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs - Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management Nice to Have o Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment o Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation o DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure o ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation o Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exercise What We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself To find out more about Huxley, please visit www.huxley.com Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

We’re working with a top‑tier global investment firm that is building out a high‑performance engineering team in London. This role sits close to core trading operations and focuses on the design and evolution of a mission‑critical trade management platform.

The team is heavily investing in Rust for core services, driven by performance, reliability, and cost efficiency at scale. You’ll be hands‑on across the full lifecycle - from design through to production support - and will also interact with an existing .NET/C# ecosystem where required.

The environment is highly distributed, processes very high volumes of data, and runs primarily on AWS. Engineers are expected to take ownership, make pragmatic design decisions, and operate comfortably in a fast‑moving, production‑focused setting.

What you’ll be doing

• Building and enhancing high‑throughput, multi‑threaded services in Rust that sit at the heart of the firm’s trade flow.
• Working across distributed systems and latency‑sensitive components.
• Profiling and optimising performance, memory usage, and infrastructure footprint with a strong focus on efficiency and cost awareness.
• Interfacing with and occasionally contributing to C#/.NET services.
• Owning systems end‑to‑end, including production support responsibilities.
• Collaborating with engineers across multiple international offices.

What they’re looking for

• 8+ years of professional software engineering experience in a structured, production environment.
• Solid, real‑world experience using Rust in production (concurrency, async patterns, ownership/memory model).
• Comfortable navigating and supporting C#/.NET codebases.
• Experience building service‑oriented systems (REST, gRPC, messaging‑based architectures).
• Familiarity with cloud‑based architectures, particularly AWS, and an understanding of how performance decisions impact infrastructure cost.
• Strong communication skills and the ability to explain technical trade‑offs clearly.

Nice to have

• Exposure to large‑scale messaging or streaming systems.
• Experience with CI/CD tooling and modern DevOps practices.
• Knowledge of financial systems, market infrastructure, or post‑trade workflows.
• Testing‑focused mindset (property‑based testing, TDD, etc.).
• Some front‑end or full‑stack exposure, though this is not a core requirement.

Why this role

• Work on systems that are directly tied to trading and operational outcomes.
• High level of autonomy and technical ownership.
• Opportunity to grow technical depth in Rust in a real, performance‑driven environment.
• Collaborative global engineering culture with strong standards.

Apply Now!