Machine Learning Engineer page is loaded Machine Learning Engineerlocations: Londonposted on: Posted Todayjob requisition id: R-003229 Salary : £67,900 Closing Date : 5th May 2026 Contract Type : PermanentThe Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships.We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing, and taking on three global health challenges: mental health, infectious disease and climate and health.These challenges need the bold science we support, but they won't be solved by science alone. Where in Wellcome will In this role, you will work together with an interdisciplinary team of software engineers, data engineers, analysts, and designers to help Wellcome gain a deeper understanding of its funding data and inform decision-making. You will have the opportunity to develop machine learning models understand our research funding and it's impacts. With an emphasis on natural language processing and network analysis. You will work with open-source software in a highly collaborative team, developing, maintaining, and proposing new solutions to enhance our data science offering to the organisation. Propose, develop, and evaluate machine learning models with an emphasis on natural language processing Translate business problems to data science tasks and present complex results to stakeholders Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling Identify opportunities where machine learning can help Wellcome make better decisions Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across departments How to apply To apply for this role, please submit an up-to-date CV and answer two application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics. Strong Python and SQL skills with a grounding in software engineering best practices. In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX. Knowledge of supervised/unsupervised machine learning and modern natural language processing techniques for text classification, named entity recognition, and topic modelling. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team.You can view the full job on our webite You can read more about the benefits we offer our employees on our Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working: 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday), with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility, or contact us at . support researchers, we take on big health challenges, we campaign for better science, and we help everyone get involved with science and health research. Wellcome isn't just a supporter of great ideas, it's a great place to work. We offer excellent benefits and help our employees to develop in an open, respectful culture where differences are valued.

AI Engineer - Remote (Barcelona) €100,000

About the Role

We are looking for a hands on AI Engineer to own and evolve the core “brain” service that drives a cutting edge AI product. This role spans architecture, development, optimization, and production operations of real time, multi agent LLM systems.

Role Overview

As an AI Engineer, you will design, build, and operate low latency, real time text and voice agent systems. You will be responsible for multi agent orchestration, advanced reasoning approaches, RAG engineering, and evaluation driven development to ensure production grade quality and performance.

Key Responsibilities

• Design, build, and operate low latency real time text and voice agent systems
• Implement multi agent orchestration patterns (planner-executor-critic, routing, shared memory)
• Apply advanced reasoning methods (ReAct, Chain of Thought, Tree /Graph of Thoughts where appropriate)
• Lead RAG engineering with strong grounding, evaluation, and observability
• Drive evaluation based development with monitoring, tracing, and CI/CD gating
• Ship production grade Python services using FastAPI under strict latency and quality requirements

Minimum Qualifications

• 5+ years of experience in ML or backend engineering in production environments
• Deep expertise in Python, FastAPI, asyncio, and production observability
• Experience with low latency text and/or voice systems (LiveKit, Pipecat, WebRTC, or similar)
• Hands on experience with LLM systems, agent patterns, and evaluation driven workflows
• Prior startup experience

Tech Stack Highlights

Python, FastAPI, asyncio, Redis, Postgres, vector databases, WebRTC/LiveKit, SIP gateways, Docker, Terraform, Kubernetes, OpenTelemetry, DeepEval, GCP

What We Offer

• Work on state of the art real time AI agent technology in healthtech
• Highly collaborative, senior technical team
• Fully remote role based in Barcelona
• Fun off sites and strong developer ergonomics

If you are interested please email your CV to for immediate consideration.

Your talent is the key to innovation. At S&l, we're not just offering jobs - we're building careers that make an impact. Apply now and be part of a team shaping the future of cybersecurity and technology. Cloud Security Consultant A Global Financial Services firm requires a Contract Cloud Security Consultant to join their Cyber Transformation Programme consulting across Al, DevSecOps & Microsoft Security Suite. Travel: Hydbrid Location: London IT Security Cloud Consultant working in Al engineering and project teams, ensuring all deliverables align with security standards (e.g. NIST CSF 2.0) and protect information assets (Confidentiality, Integrity, Availability). Lead threat modelling, risk assessments, and secure coding initiatives (especially in Python and Azure environments) across the chatbot lifecycle and broader IT systems, mitigating vulnerabilities and ensuring compliance with data protection laws (e.g., GDPR). Establish, implement, and maintain security policies, standards, and operational controls; support audits, incident response, vulnerability remediation, and ensure effective use of security tooling (eg., Sentinel, Defender for Cloud, SIEM). Work closely with Operational Risk, DevOps, and Information Security teams to embed best practices into Agile delivery pipelines, balance stakeholder priorities, and drive the security agenda within a matrixed environment. Serve as the security point of contact for projects, leveraging deep knowledge in DevSecOps, Azure IAM, PKI, secure SDLC, and adversarial Al threats, while promoting a culture of continuous improvement and security awareness

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to team:

As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website-from button colors to booking flows-is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide.

In this role, you will:

• Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences
• Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy
• Provide expert guidance and training to cross functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality
• Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof of concept studies and integrating new methodologies into production workflows
• Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non technical stakeholders to inform business decisions

What we’re looking for:

• Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context
• Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions
• Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills
• Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof of concept models that can be scaled and integrated into production experimentation platforms
• Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non technical stakeholders, ensuring alignment and understanding across teams

Experience and qualifications:

• A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design
• Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science
• Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation
• Experience applying statistical rigor to real world business problems, with the ability to independently lead and deploy methodologies at scale
• Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks
• Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non technical stakeholders
• Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners
• Prior experience in experimentation platforms or A/B testing environments is highly desirable
• Autonomy and accountability to serve as a point of contact for statistical methodologies within the team

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group’s family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST:

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

What we’re all about.

Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here - and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

Opportunity

You’ll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions, including platforms supporting data intensive and AI driven workloads. The platform is comprised of a landscape of low maintenance, on demand, and highly secure environments that host our software for customers and partners. These environments also support a wide range of internal use cases, underpinning the work of our R&D teams.

As a Senior DevOps Engineer, you will:

• Contribute to the evolution and improvement of our cloud based platform, with a strong focus on availability, resilience, performance and security.
• Take ownership of significant technical problems and initiatives, driving them through to delivery with a high degree of autonomy.
• Enhance our automation practices, helping reduce operational toil and improve the consistency and reliability of our platform, including the use of modern tooling and AI assisted approaches where appropriate.
• Collaborate closely with software engineering teams to strengthen our CI/CD pipelines and optimise build, test and deployment workflows, with an eye on improving overall developer productivity.
• Support the development of cloud based product capabilities that customers can integrate into their own DevOps processes.
• Contribute to technical discussions, provide guidance on best practices, and help shape engineering standards within the team.
• Offer informal mentoring and knowledge sharing to engineers, supporting the growth of the wider DevOps community.

This role focuses on deep hands on technical expertise and the ability to lead complex workstreams, while stopping short of the architectural ownership and broader technical leadership responsibilities of a Lead Engineer.

Our Stack Includes:

• Kubernetes, Docker, Istio
• GitOps / DevOps tooling: ArgoCD, Jenkins, GitHub Actions
• Scripting & Automation: Bash, Python, Groovy, Golang
• IaC & Infrastructure Management: Terraform, Ansible, Packer, CasC
• Provisioning Frameworks: Elasticsearch, Spark, Hadoop, Airflow, PostgreSQL, etc.
• Observability: Fluentd, Prometheus, Grafana, Alertmanager
• Public Cloud: Primarily GCP and Azure, with some AWS

We are looking for candidates who:

• Take pride in designing, building and delivering high quality, well engineered solutions to complex problems.
• Think holistically, ensuring solutions integrate effectively into large scale distributed systems.
• Bring strong hands on experience across several aspects of our cloud and DevOps stack.
• Have solid experience with programming/scripting/automation.
• Demonstrate a strong understanding of information security principles.
• Have experience operating and supporting cloud native platforms in production environments.
• Are comfortable working autonomously, leading technical workstreams and driving improvements.
• Enjoy sharing knowledge and supporting the development of other engineers.

Experience in the following would be beneficial:

• Infrastructure management and general Linux administration.
• Operating microservice based architectures (scaling, upgrading, traffic management, deployment strategies).
• Software build, release engineering and CI/CD pipeline enhancement.
• Exposure to a broad selection of the technologies listed in our tech stack.
• Exposure to platforms or tooling that support AI/ML workflows, data intensive pipelines, or intelligent automation.

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription
• Workplace Nursery Scheme
• Team’s Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog friendly Offices

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction - the future.

It’s all about you.

It’s important to us that you feel welcome, valued and respected. After all, it’s your individuality and passion for what you do that will make you Q. We see that - which is why we’re proud to be an Equal Opportunity Employer. We’ve created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness - whoever you are - if you are a passionate, curious and caring human being who wants to push the boundaries of what’s possible, then we want to hear from you.

The Role

As a Senior Revenue Engineer in our YourParkingSpace business, you’ll play a key role in building the infrastructure and systems that power pricing and revenue optimisation across our platform.

This role sits at the intersection of backend engineering, data engineering, and pricing systems. You’ll design and build scalable services, pipelines, and APIs that enable pricing logic, experimentation, and automation across our marketplace.

You will work closely with Pricing, Data, Product, and Engineering teams to productionise pricing models and ensure pricing systems are reliable, observable, and built to scale.

This is a hands on engineering role focused on building robust, production grade systems that support revenue critical decision making.

You’ll be helping build the next generation pricing infrastructure powering urban mobility platforms, directly influencing how pricing, supply, and demand interact across our marketplace.

Your work will have real, measurable impact on revenue, utilisation, and customer experience - while helping shape the systems that power the future of parking and mobility.

How to make an impact

• Design and build scalable pricing infrastructure, including pricing engines, rule frameworks, and supporting APIs.
• Build and maintain data pipelines and operational data models that power pricing logic, experimentation, and analytics.
• Develop systems for capturing, processing, and serving pricing data across internal and external platforms.
• Work closely with Pricing/Data Scientist to productionise machine learning models, including feature pipelines, deployment workflows, and monitoring.
• Ensure pricing systems are reliable, observable, and fully automated, with strong CI/CD, testing, and monitoring practices.
• Implement scalable solutions that avoid technical debt and support long term platform architecture.

Your background

• 5+ years of backend engineering experience building production systems, ideally in marketplaces, platforms, or pricing driven environments.
• Expertise in PHP and the Laravel ecosystem, with a focus on building secure, performant backend services for complex pricing or logic heavy applications.
• Strong Python and SQL skills, with experience building data pipelines, backend services, and operational data models.
• Experience designing scalable APIs and data capture systems that support configuration driven or rule based logic.
• Experience productionising machine learning models in collaboration with Data Science teams (feature pipelines, deployment, monitoring, retraining workflows).
• Strong understanding of cloud infrastructure, CI/CD pipelines, and automated testing.
• Experience building revenue critical systems with strong observability and monitoring.
• Ability to take a first principles approach to system design, thinking deeply about architecture, scalability, and long term maintainability.

(Nice to haves)

• Experience building pricing engines, experimentation platforms, or optimisation systems.
• Experience working with marketplace or dynamic pricing environments.
• Familiarity with modern data stacks and orchestration tools.

Hybrid working role based in our London offices (SE1): 3 days in the office, 2 days from home per week.

The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor,serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.

We are seeking an experienced Senior Counterparty Exposure Risk Manager to oversee the counterparty exposures of Marex Solutions business. The successful candidate will play a key role in ensuring robust risk management, monitoring exposures, and partnering with trading, structuring, and control functions to manage risk across multiple asset classes.

Responsibilities

• Risk Oversight: Monitor and manage counterparty exposures and market risk of Marex Solutions global business, with a focus on OTC derivatives and structured and exotic derivatives in Commodities, FX, Rates & Credit, Digital Assets and cross-asset products.
• Risk Analysis: Evaluate derivative structures, assess embedded risks, and ensure they are appropriately captured in risk systems and metrics.
• Risk and Limit Frameworks: Define, review, enhance risk measurements and methodologies, and enforce risk limits; challenge the adequacy of risk taking activities relative to approved risk appetite.
• Product Coverage: Provide independent risk assessment of new products and complex structures, ensuring risks are well understood and controlled.
• Stakeholder Engagement: Partner with sales and trading teams, structuring, model validation, finance, and risk methodology teams to ensure accurate pricing, valuation, and risk representation.
• Governance & Reporting: Deliver clear and timely risk reporting to senior management, highlighting key risk drivers, trends, and emerging risks.
• Regulatory Compliance: Ensure adherence to internal policies and external regulatory requirements, including stress testing, capital requirements, and market conduct standards.
• Technical & Analytical Skills
  • Risk Identification & Assessment: Skill in analysing potential operational, financial, and strategic risks using qualitative and quantitative methods.
  • Risk Analysis: Proficiency in using programming tools (e.g., Python, SQL, advanced Excel and PowerBI) for risk forecasting, scenario analysis, and stress testing.
  • Product Knowledge: A deep understanding of multiple asset classes (equities, fixed income, commodities, FX, derivatives) including their valuation and associated pricing models.
  • Regulatory Compliance: In-depth knowledge of relevant regulatory frameworks and ensuring the company remains compliant.
• Leadership & Interpersonal Skills
  • Communication & Stakeholder Management: The ability to articulate complex risk concepts and findings clearly and persuasively to diverse audiences, including senior management, traders, and regulatory bodies.
  • Collaboration: Proven experience in managing key stakeholders and coordinating across cross functional teams.
  • Problem Solving & Decision Making: The ability to analyse issues, draw on expert advice, and make sound, well reasoned recommendations under pressure.
  • Strategic Thinking & Business Acumen: The capacity to link risk management practices with overall business objectives and provide insights that align with the organization’s goals and strategies.

Experience and Qualifications

• Bachelor’s or Master’s degree in Finance, Mathematics, Engineering, or a related quantitative discipline; CFA/FRM is a plus.
• Circa15+ years of market risk or trading/structuring experience within a leading financial institution, with exposure to structured and exotic derivatives.
• Deep understanding of derivative pricing models and risk sensitivities across multiple asset classes (Equity, FX, Rates, Credit, Commodities and Digital assets).
• Strong knowledge of risk management frameworks, stress testing methodologies, and capital/regulatory requirements.
• Excellent analytical skills and ability to interpret complex risks into clear, actionable insights.
• Strong communication skills with the ability to challenge senior stakeholders and present risk issues concisely.
• Familiarity with risk systems (e.g. Sophis, Bloomberg or in house platforms) and corresponding data flows. Programming skills (Python, VBA, SQL and PowerBI) highly advantageous.

Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.

King’s Cross, United Kingdom Posted on 03/18/2026

Our client is looking for a Software Engineer hybrid role at Kings Cross, London.

Duration - 6 months (possibility for extension)

Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

Responsibilities

• Carry out cutting edge research to advance the science and technology of machine learning systems.
• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Collaborate with researchers and cross functional partners including communicating research plans, progress, and results.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Publish research results and contribute to research that impacts Meta product development.

Requirements

• 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training.
• Programming experience in Python and hands on experience with frameworks such as PyTorch.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Proven experience to translate insights into business recommendations
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• Direct experience in generative AI and LLM research
• PhD degree or research focused Master’s degree in ML areas
• Healthcare contribution and inclusion in company pension scheme
• Work laptop and phone
• 25 days annual leave (pro rata) plus paid bank holidays
• Expanding workforce with potential for career progression for top performers

King’s Cross, United Kingdom Posted on 03/18/2026

Our client is looking for a Software Engineer hybrid role at Kings Cross, London.

Duration - 6 months (possibility for extension)

Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

Responsibilities

• Carry out cutting edge research to advance the science and technology of machine learning systems.
• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Collaborate with researchers and cross functional partners including communicating research plans, progress, and results.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Publish research results and contribute to research that impacts Meta product development.

Requirements

• 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training.
• Programming experience in Python and hands on experience with frameworks such as PyTorch.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Proven experience to translate insights into business recommendations
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• Direct experience in generative AI and LLM research
• PhD degree or research focused Master’s degree in ML areas
• Healthcare contribution and inclusion in company pension scheme
• Work laptop and phone
• 25 days annual leave (pro rata) plus paid bank holidays
• Expanding workforce with potential for career progression for top performers

About this role The Analytics Product team empowers investment and risk management decisionmaking for BlackRock and Aladdin clients through industryleading models, analytics, research, and processes supporting investor activities.

The team delivers value for users, clients, and prospects by reliably meeting commitments. We craft compelling research and applied solutions. Enable new opportunities with fit-for-purpose analytics. Apply extensive confirmed experience across the client lifecycle. In close collaboration with partner teams throughout the Aladdin Business, the team accomplishes the analytics and product development lifecycle with full ownership.

We speed up model development and delivery using agile methods. The team leads the deployment of new model features and infrastructure improvements. Encourage adoption within the Aladdin community and maintain model quality through clear processes and governance.

Analytics Product also shapes the future of the Analytics & Investor Platform by defining the multiyear strategy for analytics and investor workflows, building leading private markets and wholeportfolio analytics capabilities, shaping analytics infrastructure to support the next phase of growth, and delivering Open Analytics and APIs to enable Open Aladdin.

The team is motivated by commercial outcomes and industry leadership, powered by exceptional talent and deep subjectmatter expertise, accelerated by a strong embrace of AI technologies, and committed to launching exciting careers.

About Performance & Attribution: The Performance & Attribution team within Analytics Product (AP) delivers Aladdin’s performance and return analytics to support better portfolio decisions and differentiate investment solutions. Partnering across investment, client, analytics, data and technology teams to deploy new architecture, models and solutions across a wide range of asset classes and client segments.

Our team is known for:

• Problem solving: We partner with investment, risk and client-facing teams to understand their business problems and provide creative solutions using Aladdin analytics.
• Innovation: We sit at the intersection of finance and technology. We conceptualize, build and implement new capabilities so Aladdin remains the best platform for clients to understand and manage portfolios and risk.
• Centralized & scalable operating platform: Aladdin is a global investment platform that helps us solve problems in a scalable and efficient manner.

About the role: We are looking for a new member in the AP Performance & Attribution Team to help support the ever-increasing demand for Aladdin’s performance measurement and performance attribution capabilities.

Portfolio performance evaluation involves performance measurement, performance attribution and performance appraisal. Performance attribution plays a key role in the investment process. It provides feedback throughout portfolio management and explains investment decisions to clients. It helps investors understand the key drivers of active return: Sector Allocation decisions or ability to research attractive investment opportunities at the individual asset level.

This team plays a coordinating role in defining product strategy, conceptualizing, designing, testing, and deploying new capabilities, working closely with financial modelers, engineers, product managers and users. You will also work with clients and relationship managers to ensure that clients are getting the most out of Aladdin’s performance capabilities and that client feedback is addressed appropriately.

We offer a dynamic, team-oriented environment with tremendous learning and growth potential.

Overview of Responsibility: Collaborate with Modeling and Research, Quantitative Technology, and Aladdin Product Management to analyze, create specifications for and test enhancements to performance measurement and attribution calculators and presentation capabilities.

Work closely with Quantitative Technology partners to decommission legacy processes across the performance attribution ecosystem, ensuring product designs are future ready.

Provide performance measurement and attribution subject matter expertise as a point of escalation for client inquiries and production challenges; and provide documentation of performance and attribution calculations and methodology.

Provide dedicated project ownership to deliver enhanced performance attribution analytics across the Outcome ETF range, specifically Buffer and Buy Write product ranges. This will include integrating option sensitivities, processing & incorporating vendor option data to enable daily monitoring and monthly reviews during market / dislocation events

Work with partner teams to develop and evolve the engine across new asset classes and enhance analytics delivery. Ensure alignment with industry standards, providing scale across the product.

Orchestrate the model development lifecycle for requirements, specifications, data and infrastructure planning, user acceptance testing, deployment, and release communications.

Engage with partner teams that manage analytics production and quality control processes and provide subject matter expertise and coordination to resolve sophisticated client inquiries.

Author and maintain documentation around models and related infrastructure.

Stay abreast on global finance, capital markets, geo-political scenarios, regulations, and technology trends impacting BlackRock.

About you: Candidates should have a demonstrated track record in solving difficult real-world problems within investment & risk management businesses. The candidate will be expected to use extensive quantitative skills to lead sophisticated performance analytics projects in an endeavor to evolve the analytics platform within Aladdin. Furthermore, all positions require outstanding quantitative, communication, and presentation abilities.

• 2-3 years of business analyst-related experience relevant to the development, deployment, and application of models and analytics within performance and attribution areas. Backgrounds rooted in analytics, accounting, risk, and performance are all of interest. Direct exposure working with financial derivatives (including options) and solid understanding of how these financial instruments work.
• Demonstrated success in project management with financial modelers, engineers, and product managers.
• Diligent, organized, and committed while leading multiple projects.
• Ability to pro-actively prioritize tasks, set and meet deadlines, and pay attention to detail.
• Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Bachelor’s degree required.
• Acquired technical proficiency includes experience in Unix, SQL, and scripting platforms.
• Ability to navigate a technical environment using scripting skills (e.g. Java and Python), SQL, sophisticated excel to scale activities such as model validation and software testing. Ability to read and interpret code is a plus, however, this is not a dedicated developer role.
• Experience working within an Agile environment is a plus
• Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus.
• Excellent quantitative and analytics skills. Ability to identify problems, design and eloquent solutions, and implement change.
• Excellent understanding of financial markets and ability to comprehend the impact of market events.
• Strong project management skills. Ability to prioritize deliverables/enquiries when multi-tasking, structure multiple communication streams and lead workflows.
• Excellent written and verbal communication skills, including the ability to document cases and user stories, write specifications, deliver presentations, communicate up and down the organization and influence partners and collaborators, both technical and non-technical.
• Superb Interpersonal Skills: You will be expected to explain complex concepts to non-technical people in simple, intuitive terms.

Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses . click apply for full job details

Are you ready to elevate your engineering career and make a lasting impact? At JPMorganChase, you join a team of top talent shaping the future of technology. You’ll work in a collaborative, agile environment where your expertise drives innovation and advances next-generation networking solutions. We empower you to grow, contribute, and stay at the forefront of industry trends. Join us and be part of a culture that values diversity, opportunity, and respect.

Job Summary

As a Lead Software Engineer in the VPC Network organization, you will leverage your engineering expertise to build and deliver secure, stable, and scalable technology products. You’ll contribute to the design and implementation of JPMC-VPC, a software-defined networking platform that will transform our legacy infrastructure. You will help modernize our network platform, advancing next-generation solutions to support resilience, scale, and continued innovation. You’ll collaborate with cross-functional teams and industry partners, driving technical excellence and fostering a culture of inclusion.

Job Responsibilities

• Support the strategy and development of multiple products, applications, and technologies within the portfolio
• Design and implement components of JPMC-VPC, including control plane, data plane, software gateways, load balancers, and IPAM systems
• Develop high-quality code solutions and contribute to new production code capabilities within the team
• Write production-quality code in Go, Python, or C/C++ for networking infrastructure
• Explain technical issues, trends, and approaches to leadership and team members to support informed decision-making
• Collaborate with vendor partners on integration
• Engage with open-source communities and industry forums
• Implement technical methods and best practices aligned with modern product development methodologies
• Develop reusable software frameworks for use across the team and functions
• Collaborate effectively with cross-functional business, product, and technology teams, building stakeholder relationships
• Champion our culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Experience in systems engineering, networking, or distributed systems
• Practical experience delivering system design, application development, testing, and operational stability
• Experience with one or more programming languages: Go, Python, C/C++, Rust
• Demonstrated experience working with cross-functional teams to deliver value
• Hands-on experience with software-defined networking technologies such as OVN, OVS, or equivalent
• Good knowledge of networking fundamentals including TCP/IP, routing, switching, and load balancing
• Experience with modern development practices such as CI/CD, infrastructure as code, and observability
• Experience applying technical expertise to solve complex technology problems across various disciplines
• Practical cloud native experience
• Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred Qualifications, Capabilities, and Skills

• Experience with CNI implementations and Kubernetes networking
• Understanding of advanced routing protocols such as BGP, OSPF, VXLAN, EVPN
• Knowledge of high-performance networking frameworks including eBPF, XDP, DPDK
• Experience with DPU/SmartNIC technologies
• Familiarity with integrating AI/ML capabilities into software systems and using generative AI tools to accelerate development cycles

LONDON, United Kingdom

Job Information

• Job Identification
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 03/20/2026, 01:34 PM
• Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB
• Job Schedule Full time
• Job Shift Day

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

• Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
• Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
• Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
• Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
• Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts with applied Full stack development experience.
• Practical experience in Infrastructure as Code development, ideally using Terraform.
• Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
• Advanced proficiency in one or more programming languages, with a strong focus on Python.
• Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
• Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
• Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
• Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

• Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
• Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
• Demonstrates initiative in learning and adapting to new technologies and methodologies.
• Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers
• Proven problem-solving skills with a focus on innovation and continuous improvement.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

At GSK, we are actively working on building a future in which state of the art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production grade, data driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large scale AI models and agentic systems - building robust, high performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

In this role you will

• Create scalable infrastructure and software solutions to support large scale AI models and agentic systems across the entire software development lifecycle.
• Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.
• Develop and maintain cloud native architectures that enable seamless deployment and scaling of AI/ML workloads.
• Deliver robust, tested and high performance code in an agile environment.
• Collaborate with AI/ML engineers, data scientists, and domain experts to ensure fit for purpose infrastructure and data pipelines for cutting edge scientific projects.

Qualifications & Skills

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others) OR equivalent work experience as a professional software engineer.
• Advanced programming expertise in Python and a track record of delivering robust, scalable software solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and cloud native architectures.
• Passion for software design and commitment to developing reusable, scalable, and testable software components.
• Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Knowledge of command line tools and shell scripting.
• Knowledge of software engineering best practices, including continuous integration, continuous deployment, containerization, and infrastructure as code.
• Strong problem solving and debugging skills, and experience working in cluster settings or cloud based environments.
• Fluency in English.

Preferred Qualifications & Skills

• Familiarity with machine learning principles and state of the art modelling approaches.
• Experience in design, development, and deployment of commercial cloud native software and infrastructure.
• Experience building and deploying large scale AI models and agentic systems in production environments.
• Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
• Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.
• Contributions to relevant open source projects.
• Knowledge or interest in disease biology, molecular biology, and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Salary and Benefits

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role.

The position also offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

London, United Kingdom Posted on 20/04/2026

London (Hybrid - 3 days/week onsite) 6 Month Contract Role (Inside IR35 - Competitive Day Rate)

About the Role

We are seeking an experienced AI Engineer with a strong data engineering foundation and a passion for solving real-world trading problems. You will work directly with traders and analysts, building AI-powered analytics and data solutions that deliver actionable insights from market pricing and fundamental data-often in near real time.

This role sits at the intersection of AI, data engineering, and trading, with a focus on rapid prototyping, stakeholder collaboration, and production grade delivery using modern Azure and Databricks ecosystems.

What You’ll Do

• Design and deliver AI-driven analytics for front office use, including forecasting, seasonality, correlation, regression, and scenario modelling
• Build scalable, reusable data pipelines using Databricks (PySpark/Spark, Delta, Unity Catalog), optimizing performance, cost, and reliability
• Develop real time and near real time data solutions to support trading and reporting needs
• Translate complex trading problems into prototypes and MVPs, iterating rapidly based on feedback
• Partner closely with traders and analysts to understand requirements and communicate insights effectively
• Implement LLM and agent based workflows (prompt engineering, orchestration, retrieval, tool usage, and guardrails)
• Perform statistical and econometric analysis on large scale time series datasets
• Productionize solutions with robust testing, observability, CI/CD pipelines, and documentation
• Enable reporting and data access via tools such as Power BI and similar platforms

What You’ll Bring

• Strong hands on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
• Solid foundation in statistics, econometrics, or data science-particularly with market time series data
• Experience building AI/ML and LLM based solutions (prompting, retrieval, agent workflows)
• Proficiency in Python and modern data/ML tooling (e.g., MLflow, feature stores, vector databases)
• Familiarity with CI/CD, Terraform, and production grade engineering practices
• Excellent communication and stakeholder management skills, with the ability to work directly with front office users

Nice to Have

• Experience in commodity or financial trading environments
• Understanding of market fundamentals, derivatives, P&L, contracts, and trading lifecycle
• Knowledge of market micro structure, supply demand dynamics, and risk management concepts

Ways of Working

• Hybrid model with close collaboration alongside trading teams
• Fast paced, iterative delivery: prototype quickly, refine with users, and scale to production
• Strong focus on engineering excellence, including automated testing, governance, and operational reliability
• Ability to work independently while leveraging support from a broader data and engineering team

Who You Are

• A pragmatic problem solver who thrives in ambiguous, high impact environments
• Comfortable bridging the gap between technical solutions and trading needs
• Driven to deliver measurable value through AI and data

If you’re excited about applying AI and advanced analytics in a trading environment and working directly with front office stakeholders, we’d love to hear from you.

• 6 month FTC
• Central London - 2 days on-site per week
• Up to £80,000 (pro rata)

This is a fantastic opportunity to play a pivotal role in maturing and strengthening the security operations capability of a globally recognised law firm. you’ll be at the forefront of SIEM engineering, detection content development, and security automation helping to protect one of the most complex and internationally active legal organisations in the world.

Job Title: Information Security Operations Engineer (SOC)
Job Type: Fixed-Term Contract (6 months)
Working Arrangement: Hybrid - 2 days in the office per week
Office Location: Central London

The Role
As a SOC Engineer, you will:

• Enhance and optimise the firms SIEM platform, improving performance, coverage, and detection fidelity.
• Identify and onboard new log sources across cloud, on-prem, network, endpoint, and identity platforms.
• Design and implement advanced detection use cases aligned to MITRE ATT&CK and the cyber kill chain.
• Build and tune correlation rules, anomaly detections, dashboards, and alerting workflows.
• Implement SOAR automation to streamline incident response activities.
• Support SOC analysts and provide SME-level expertise during complex security incidents.
• Maintain high-quality documentation across data models, use cases, and SIEM architecture.

What We re Looking For

• Previous experience working within a law firm
• Hands-on experience with leading SIEM platforms such as Microsoft Sentinel, Splunk, Exabeam, QRadar, or Elastic.
• Strong understanding of log formats (JSON, syslog, CEF, XML) and ingestion technologies.
• Solid knowledge of MITRE ATT&CK, threat hunting, and detection engineering principles.
• Proficiency in Scripting languages including Python, PowerShell, and PowerApps.
• Familiarity with SOAR platforms and security automation workflows.
• Relevant professional certifications such as GIAC (GCIA, GCDA, GMON), Microsoft SC-200/SC-100, CISSP, or SSCP are highly desirable.
• A Level 4 or higher qualification in a computing subject, or equivalent professional experience.

Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Computappoint do not use AI to filter or assess candidates, we use experienced and dedicated recruiters, who want to match the best people to roles.

Lead AI Engineer (Principal Consultant)
Location: London (Hybrid) |
Practice Area: Technology & Engineering
Type: Permanent

Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.

The Role
We’re looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.

What You’ll Do

• Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
• Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
• Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
• Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
• Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption

What We’re Looking For

• Bachelor’s degree or higher in Computer Science, AI, or related STEM fields
• Hands-on experience deploying LLMs and multi-modal models at scale
• Strong engineering background in Python with proven Back End and API development skills
• Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
• Excellent communication, problem-solving, and project management skills in agile environments

Bonus Points For

• Experience with agentic frameworks (eg, LangChain, LlamaIndex)
• Experience in deep learning frameworks and Front End development
• Familiarity with Langfuse, Langsmith, or other LLM observability tools
• Understanding of Model Context Protocol and bias/hallucination mitigation techniques
• Previous success in integrating GenAI solutions into enterprise-scale systems

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, E-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role
We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.

What You’ll Do

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables
• Guide and coach data science pods, supporting skill development and solution design
• Act as a subject matter expert on ML architecture, model calibration and productionisation

What We’re Looking For

• Hands-on experience building and deploying data science solutions in Python and related ML libraries
• Strong background in applied machine learning, model development and data engineering
• Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift
• Demonstrated ability to lead cross-functional teams and mentor junior practitioners
• Ability to communicate complex technical concepts clearly to non-technical audiences

Bonus Points For

• Participation in Kaggle or other data science competitions
• Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
• Familiarity with advanced NLP frameworks such as spaCy or Transformers
• MSc or PhD in a numerate discipline
• Financial services or banking experience

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

For our Innovation & Technology department in London we are looking to hire a:

Innovation &

In an era where digitalisation and modern IT infrastructure is revolutionising banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.

As a senior network engineer, you will be a key member of our Core Infrastructure Services team and play a vital role in managing our global network infrastructure. You will work within an experienced, multidisciplinary team of security and network specialists responsible for the stable and secure operation of business-critical platforms.

You will work closely with internal colleagues and external service providers, taking responsibility for the quality, security and management of all changes within the network environment.

This role offers you an environment characterised by a high degree of personal responsibility and agility, as well as the opportunity to apply and further develop your expertise in a targeted manner.

What will you do?

• Operating, monitoring and continuously optimising data centre and campus networks (Cisco ACI, Cisco SD WAN, Kemp Loadbalancer)
• Implementing and maintaining network policies, as well as conducting network audits and risk assessments
• Analysing and resolving complex network incidents, including performing root cause analysis
• Enhancing and developing network automation using Ansible and Python
• Maintaining network documentation within our DCIM tool (Nautobot) and creating operational manuals and Standard Operating Procedures (SOPs)
• Collaborating with IT Security teams (e.g. Cisco / Fortigate Firewalls), managing external service providers, and contributing to network projects and infrastructure upgrades

Who are we looking for?

• A degree in Computer Science, Information Systems, or a related field, or equivalent vocational training with an IT focus
• At least 5 years’ experience operating enterprise or data centre network environments
• Strong hands on experience with Cisco ACI, SD WAN and Kemp load balancers
• CCNP-level networking knowledge (certification desirable but not essential)
• A structured and solution oriented approach to work, with strong troubleshooting and analytical skills
• Experience with DCIM tools (e.g. Nautobot) and firewalls (e.g. Fortigate, Cisco)

What we offer you:

• Private pension plan - 10% of base salary contribution by Berenberg
• Private Health Insurance
• Enhanced parental leave policies
• Employee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topics

Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create an inclusive working environment, where everyone can realise their full potential. We’re committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. Please contact us directly on to discuss.

Join us as a Catastrophe Research Analyst to take your career to the next level with a global market leader. Make your mark in Cat Modelling AIG's model validation and research group consists of team members in the US & London, and an outsourced team in Bengaluru, India. The role will involve collaboration with this team, and with multiple external vendors (Moody's, Verisk, KatRisk), as well internal teams building bespoke tools. The job holder will lead the review of and take ownership of specific peril region models as directed by the Head of Catastrophe Research & Validation. How you will create an impact This role will be part of AIG's Catastrophe Research & Validation Team. You will support the development of AIG's internal view of risk for Natural Catastrophe, Terrorism, and other First Party Perils. Working with the Head of Catastrophe Research & Validation and other Cat Modelling Leaders, the job holder will support the implementation of industry leading analytics, research practices, and model development across the organisation.Some of the key responsibilities include: Lead innovative research on catastrophe risk, with a focus on peril regions most material to AIG Support the development standardised best practices and view of risk strategy Support end to end catastrophe model evaluation across the company: + Implementing AIG's View of Risk + Validating new and existing vendor models + Proposing adjustments to vendor out of the box views + Implementing model change and upgrades Support AIG's assessment of climate change and impacts to climate related perils worldwide Support climate change engagement with internal and external stakeholders Work with Enterprise Risk Management partners to ensure views of risk are clearly documented and communicated in line with AIG's model risk management policies Support short and medium term efforts to transform internal catastrophe modelling process Closely collaborate with functions such as Risk Engineering, Actuarial, Underwriting, and ERM to share insights and best practices across the organisation Partner with the Data Office on strategic data initiatives, including supporting vendor/data provider capability assessments and contract reviews. What you'll need to succeed PhD or Master's degree in Climate Science, Natural Hazards, Applied Statistics, or a related subject 3+ years of experience in catastrophe research or model development, experience using RMS is preferred Excellent understanding of the science of catastrophe modelling, and hands on experience writing model reviews and validation A knowledge of catastrophe models including their strengths and weaknesses, and demonstrated expertise in the science of one or more peril regions An understanding of climate change and its impact on insurance, and an interest in developing analytics and thought leadership in this area A keen interest in the impact of modelling, on Underwriting decision making An ability to communicate technical concepts in a non-technical manner Excellent communication, presentation, and interpersonal skills Strong programming skills including R, Python, and SQL AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to Area:AC - ActuarialAIG Europe S.A. (U.K. Service Branch) & American International Group UK Ltd

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit .

You will

• Train, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar)
• Build and maintain data collection, labeling and evaluation (metrics) pipeline
• Maintain proprietary multi-modal dataset for training and evaluation
• Architect a deterministic secondary perception system
• Mentor junior engineers about best practices

You have

• Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field
• 3+ years of focused experience in perception (sensing, preprocessing, detection, tracking)
• Python, C++ and ROS2 proficiency
• The ability to work autonomously

We Prefer

• PhD in Computer Science, Robotics, or a related discipline
• Experience developing CUDA kernels