Burbage area We are working with an innovative engineering organisation developing advanced Aerospace technologies. They are now looking to hire an experienced Software Engineer to support the design and delivery of mission-critical software and firmware solutions. This role sits within a multidisciplinary engineering team and covers the full software lifecycle from design and development through testing, integration and deployment. Youll also contribute to system-level integration within complex avionics architectures. ---------------------------------------- The Role of the Software Engineer Youll be responsible for developing robust, high-quality software for flight-critical systems, while working closely with electronics, systems and product teams. Key responsibilities include: Designing, developing and maintaining embedded software and firmware Translating technical and system requirements into scalable, secure solutions Supporting integration, testing and troubleshooting of software within full system architectures Conducting code reviews and maintaining high engineering standards Producing clear technical documentation (designs, specifications, user guides) Investigating and resolving complex software issues Supporting regulatory and safety-critical development activities (DO-178B/C) Sharing knowledge, mentoring others and contributing to continuous improvement ---------------------------------------- Essential Requirements We are looking for someone who has: Solid programming skills in C and Python (MATLAB beneficial) Experience in aerospace, defence or safety-critical environments Experience working with real-time or embedded operating systems Confidence working on Linux / UNIX-based environments Experience debugging embedded systems (software and hardware interaction) Familiarity with common communication protocols (e.g. CAN, SPI, I2C, serial) Experience using version control tools such as Git A relevant engineering qualification or equivalent commercial experience ---------------------------------------- Whats On Offer Opportunity to work on avionics technology High technical autonomy and responsibility Collaborative, engineering-led environment Competitive salary and benefits package 'Apply Now' or reach out to Ellie at Orion for further details! INDKA TPBN1\_UKTJ

(MS Fabric focus) - Warrington (hybrid)

We’re working with a well-established business that’s investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform.

This is a senior, hands-on role where you’ll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. They’re looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions.

What’s in it for you?

Hybrid working from their Warrington office

Salary up to £65K + 10% bonus

20 days annual leave + BH – increases with service

Pension

Enhanced sick pay

Buy and sell holidays

Life assurance

Health & wellbeing benefits

Employee Assistance Programme

Cycle to Work

Long service awards

Work with modern tech including Microsoft Fabric, Azure AI and ML tooling

Key skills

Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse)

Solid data engineering background using SQL, Python, PySpark, Delta Lake

E xperience building and optimising end-to-end data pipelines

CI/CD experience for analytics and data platforms (Azure DevOps or GitHub)

Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI

Strong knowledge of Power BI and/or Qlik at enterprise scale

Confident communicator, comfortable working with senior stakeholders

Previous experience mentoring data engineers

Day to day

Owning and developing the organisation’s Microsoft Fabric data platform

Designing and building scalable, reliable data pipelines and architectures

Leading the move from legacy and hybrid platforms to a modern Fabric setup

Supporting BI teams with semantic models, datasets and performance optimisation

Enabling ML and MLOps workflows, from feature engineering to deployment

Working closely with data scientists, analysts, IT and the wider business

Embedding data quality, governance and best-practice standards

Providing technical leadership and coaching to other engineers

If this sounds like your next move, apply now or email

*Please note this role cannot offer sponsorship and isn’t suitable for those on graduate or short term visas*

As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff.

Forward Role is operating as an employment agency.

TPBN1_UKTJ

Company description

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world’s biggest organizations, across sports, media, and broadcasting.

Through the latest AI technologies and machine learning, we combine decades’ worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.

How do we add value?

• Media outlets add a little magic to their coverage with our stats and graphics packages.
• Sportsbooks can offer better predictions and more accurate odds.
• The world’s top coaches are known to use our data to make critical team decisions.
• Sports commentators can engage with fans on a deeper level, using our stories and insights.

Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of ‘behind the scenes’ support staff, you’ve got all the ingredients to make it a magical experience!

Job description

• Lead and conduct complex, intelligence-led investigations into data theft and streaming piracy using an all-source approach.
• Collect, preserve, and document digital evidence from various sources, including online networks, dark web marketplaces, and compromised systems, in compliance with legal standards.
• Utilise OSINT, HUMINT and CYBINY/DNINT and other cyber threat intelligence to uncover patterns, identify infringers, and develop attribution information.
• Identify and implement new anti-piracy technologies.
• Collaborate with internal IT, Products, and Sales teams, as well as external partners, industry peers, legal counsel, and law enforcement agencies to share threat intelligence and coordinate enforcement actions.
• Prepare comprehensive investigative reports and other documentation as needed to support enforcement efforts

Required profile

• Experience: A minimum of 3+ years of experience in IT investigations, digital forensics, cyber security, internet investigations, content protection and illegal stream prevention, law-enforcement or a related operational field. The right candidate will have experience with a combination of the following industry-standard tools and methodologies:
  • OSINT, HUMINT and CYBINY/DNINT
  • Maltego for graphical link analysis and SpiderFoot for automated data gathering.
  • DomainTools and WhoisXML API to analyze domain infrastructures and track ownership history.
  • Shodan and Censys to identify unauthorized data-scraping.
  • Magnet AXIOM Cyber, OpenText Encase, or Exterro FTK for data collection and deep artifact analysis.
  • Wireshark for packet-level network traffic analysis and Volatility for memory forensics.
  • Flashpoint, Recorded Future, or Flare to monitor illicit marketplaces and encrypted chat channels (e.g., Telegram).
  • Ahmia or TorBot for proprietary asset searches.
  • Chainalysis, TRM Labs, or 1 Trace to for blockchain tracking.
  • CSI Linux for forensic investigative tasks.
  • PYTHON, JAVA SCRIPT, HTML or SQL for repetitive search tasks and data processing.
• Strong analytical skills, critical thinking, curiosity, and persistence to pursue complex leads.
• Excellent written and verbal communication skills.
• Familiarity with cybercrime laws and evidence handling procedures.
• A high degree of professionalism, discretion, and good judgment.
• Flexible ability to supervise colleagues and matters across varied time zones and work cross-functionally with others in a global setting.

This role offers a unique opportunity to combine investigative skills with a passion for sports and technology, directly contributing to the protection of a valuable and unique data and AV ecosystem.

What we offer

We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you’ll feel valued and respected for your contribution.

We take care of our colleagues

We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, No Meeting Fridays, and flexible working schedules.

We pull together to build a better workplace and world for all.

We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.

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:

You’ll work at the heart of financial technology, leveraging Arista and Cisco networking, F5 load balancing, and advanced firewall solutions (Palo Alto, Fortinet) to maintain secure, high-speed connectivity. Your expertise with Solace messaging bus and performance monitoring tools like Netscout nPoint, Corvil, and cPacket will help guarantee flawless data flow across trading environments. This is an opportunity to shape infrastructure that underpins billions in daily transactions-where precision and reliability are paramount.

WHAT YOU’LL BE DOING:

• Solace Messaging.
• Performing installations, upgrades, migrations, and integrations of a variety of products aligned to globally consistent methodologies with moderate guidance
• Installing and maintaining Networking equipment using automation tools
• Executing the development and implementation of solution to appropriate standards with moderate guidance
• Supporting initiatives for process and service improvements within the team
• Supporting the maintenance of the integrated solution provided to clients with moderate guidance
• Supporting members of the team to deliver on the strategic priorities, has a working knowledge of basic concepts and procedures
• Handle client queries related to professional services post implementation with moderate guidance
• Supporting the technology lifecycle through the design, build and maintenance of systems, software and applications to ensure the highest quality outcomes across the domains
• Work well as part of a dedicated project team - providing valuable input and considering business impact of decisions.
• Work well with Network architects bringing designs to reality
• Translating business requirements into technical requirements and infrastructure and network capacity needs by sourcing data and undertaking appropriate analysis
• Ensuring relevant reporting documentation is completed and complies with internal and external standards
• Scheduling and coordinates capacity/network upgrades, liaising with other areas of the business as needed to ensure service level objectives are met
• Managing upgrades and coordinates internal and third parties where required
• Creating accurate documentation and monitors system performance to effectively contribute to business and continual improvement activities
• Overseeing design work in the network domain and contributes to creating solutions

WHAT YOU’LL BRING:

• Bachelor’s degree or equivalent in an IT related discipline
• Extensive knowledge of routing and switching protocols
• Demonstrable experience in network operations and project delivery with ideally Cisco, Juniper, Arista, Fortinet, Palo Alto
• Strong Network routing and switching skills including LAN, WAN, HSRP, NAT, MPLS, VPN, GRE, BGP and OSPF
• Good knowledge of multicast including IGMP, RP and PIM
• Knowledge of low latency and associated technologies as deployed in the financial sector
• Excellent knowledge of network packet analysing and pack capture tools
• Good knowledge and experience with Data Centre Networking including (Software-Defined Networking (SDN), Cisco ACI, VxLAN, AVD, Fortimanager)
• Experience in Cloud and good understanding of network security, including best practices
• Understanding on load balancing technologies, TCP/IP and Multicast, and internet environments
• Good knowledge of required Service Management process, ideally ITIL knowledgeable (Service Now)
• Good scripting and automation experience (Python & Ansible)

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.

Sanderson are currently working with a client who are looking to grow their FPGA / Embedded capability.

You will be designing and implementing real time system software around RF communications and sensors. This senior engineering role combines hands-on detailed design with technical team leadership.

Job Purpose & Key Responsibilities

As an Embedded FPGA / DSP engineer your responsibilities could include:

• FPGA Design and Development
• DSP Algorithm Implementation
• Hardware Interfacing
• System Integration
• Debugging & Lab Testing

Skills will include

• Proven experience in FPGA Design and DSP algorithm development
• Strong understanding of VHDL / Verilog and MATLAB / Simulink
• Embedded C/C++ or Python for testing, automation interaction
• Understanding of digital communication theory and RF principles

This role will require eligibility to be clearable to DV Clearance

If you’re interested in the above, apply or reach out to

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Business Systems and Application Engineer

Permanent Milton Keynes Hybrid working

Were supporting a leading SME engineering organisation that specialises in complex, high value electromechanical systems for naval and defence platforms. Theyre looking to appoint a driven Business Systems and Application Engineer to help drive digital transformation and operational efficiency across the business.

Key Responsibilities

• Own and manage core business systems and integrations
• Build Power Apps for data capture and operational workflows
• Automate processes using Power Automate
• Develop Power BI dashboards, reports and KPI displays
• Integrate data across multiple systems (SQL, SharePoint, Dataverse, APIs, legacy platforms)
• Map and improve business processes and workflows
• Maintain data quality, integrity and documentation
• Support system users, training and adoption
• Work closely with directors to drive digital transformation initiatives
• Provide general systems support alongside external IT partners (secondary focus)

Key Systems Worked With

• Microsoft Power Apps, Power Automate, Power BI
• SQL / Databases
• SharePoint & Teams
• Accounting, project management and document management systems
• Legacy and bespoke systems

Essential Experience & Skills

• Experience in a similar systems, analytics or automation role
• Strong Power Platform experience (Power Apps, Automate, BI)
• Strong SQL querying and data integration experience
• Experience building workflows, integrations and dashboards
• Strong understanding of business processes and process mapping
• Ability to translate business requirements into technical solutions
• Comfortable working across the full system lifecycle (requirements, build, test, deploy)
• Clear communication skills with technical and non-technical stakeholders
• Understanding of data security and GDPR

Desirable

• Programming (JavaScript, C#, Python)
• AI applied to business data and reporting
• ERP or Business Management Systems experience
• Manufacturing or engineering environment
• SharePoint and M-Files experience

Qualifications

• STEM or IT-related degreeorequivalent practical experience in systems, BI, applications or automation roles

Interested? Apply Now or reach out to Ellie at Orion Electrotech for further details.

INDKA

We are seeking a talented Quantitative Developer to join an established and highly successful systematic Stat-Arb Equities team at a tier‑one hedge fund in London. This exciting position will be sat on the trading desk, reporting directly in to the Portfolio Manager, forming part of a highly hands‑on mid-frequency systematic stat‑arb equities team. You will use advanced techniques to enhance existing frameworks and drive further improvements in algorithmic trading performance.

Following several highly successful years, the team is expanding and looking for a technically strong quantitative developer who enjoys working closely with a trading team, seeks greater exposure to trading, and is motivated to help drive the ongoing development and enhancement of trading infrastructure and analytics.

You will work in a highly collaborative, research driven environment where quantitative developers are involved across the full quantitative lifecycle, including building research and backtesting tooling, implementing trading strategies, optimisation and continuous performance enhancement. This will be alongside working closely with senior members of the team who provide ongoing mentorship, technical guidance, and exposure to strategic decision‑making.

Key Responsibilities

• Design, build, and maintain research and production‑grade trading infrastructure for systematic equities strategies.
• Work closely with the Portfolio Manager and quantitative researchers to implement, optimise, and maintain stat‑arb equity strategies.
• Develop robust, efficient, and scalable Python and R codebases for research, backtesting, and live trading.
• Contribute to improving data pipelines, analytics frameworks, and monitoring tools within a Linux environment.
• Support strategy performance analysis, debugging, and ongoing enhancement of live models.
• Take ownership of code quality, testing, and performance in a fast‑moving trading environment.

Required Qualifications

• 2-5 years of experience in a Quantitative Developer, Software Engineer, or similar role.
• Strong hands‑on development experience working in a Linux environment.
• Advanced skills in Python.
• Solid experience with R.
• Strong software engineering fundamentals, including version control, testing, and production‑ready code.
• Excellent problem‑solving skills, attention to detail, and the ability to work independently in a high performance team.

Preferred Qualifications

• Familiarity with systematic equities strategies.
• Experience working closely with PMs or traders in a front‑office environment.
• Experience optimising research workflows, backtesting frameworks, or execution systems.
• Familiarity with large datasets, time‑series analysis, and quantitative performance diagnostics.
• Background in Computer Science, Engineering, Mathematics, Physics, or another quantitative discipline.

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.

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.

Citi is seeking a highly motivated and curious engineer as a trading tool developer to work embedded within the Systematic & Credit Portfolio Trading business. This role offers a unique opportunity for in-person collaboration with traders, quants, and product development. You will rapidly iterate on revenue-making & risk-reducing tooling, learn the business context, and balance strategic builds versus immediate needs. This position provides an outstanding opportunity for a developer to directly experience the impact of their work and help grow a new strategic trading desk.

Key Responsibilities:

• Define trade tooling business requirements directly with traders
• Work collaborative with traders, quants and product dev team to develop trading tools (such as portfolio optimization, P&L analysis, trading recommendations etc.)
• Maintain an ecosystem for rapid application tooling that can support contributions directly from traders in a sustainable manner
• Leverage Python and React to create high quality software that can be delivered and adapted at the pace the business operates
• Collaborate with production support to ensure stability and maintainability of critical trading functions

Required Skills / Experience:

• Proven experience building applications and tools in Python/Java or similar language
• Experience with containerized deployment Kubernetes/OpenShift, Helm and Docker
• Strong engineering fundamentals - managing complexity and designing for stability and maintainability
• Experience with CI/CD tooling such as Jenkins, Harness, etc.
• Experience analyzing complex data sets and drawing evidence-based conclusions
• Experience using agentic coding agents to accelerate development while maintaining high quality code and comprehensibility of the resulting system
• Excellent oral and written communication skills
• Prior experience in Credit or capital markets is a plus
• Prior experience in Credit other secondary trading businesses is a plus.

Education:
Bachelor’s degree/University degree or equivalent experience

What we’ll provide you
By joining Citi London, 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.

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
At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.

The Team: Innovating at Scale
Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you’ll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands-on problem-solving. We’re not just adopting AI; we’re building the intelligence that powers our enterprise.

The Role:
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.
This is an Individual Contributor (IC) role with no direct people management responsibilities.
Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you’re a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.
As a Staff Generative AI Engineer, you will:

• Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
• Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
• Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
• Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production-ready.
• Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission-critical systems running in production.
• Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state-of-the-art AI-assisted development tools like Devin and Copilot to amplify your productivity and creativity.
• Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross-functional teams, product managers, and stakeholders to deliver impactful solutions.
• Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
• Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.

Minimum Qualifications:

• Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept.
• Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full-stack development experience is a distinct advantage.
• Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).
• Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift.
• Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments.
• Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems.
• Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases.

Preferred Qualifications (Bonus Points):

• Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang.
• Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask.
• Familiarity with messaging and integration platforms such as Kafka or JMS/MQ.
• Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications.
• Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions.
• A proven track record of contributing to open-source projects or publishing relevant research in AI/ML.

Why You’ll Love Working Here:

• Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise, working on firm-wide initiatives that directly influence our operational future.
• Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot.
• Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources including Udemy for Business and Pluralsight.
• Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success.
• Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days).
• Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide.

Join us to build the future of intelligent enterprise solutions!

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
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.

Role profile:

We are seeking a knowledgeable Quantitative Developer to join the Sustainable Index Research and Design team at FTSE Russell, a wholly owned subsidiary of the London Stock Exchange Group. The role reports directly to the Head of Sustainable Index Research and Design. The Sustainable Index Research & Design team is responsible for the development, design, and research of sustainable indices and related materials. The team works closely with both internal front- and back-office departments, as well as FTSE Russell’s partners and key clients, including major asset owners, fund managers, and investment banks, in the creation of new index products.

ROLE SUMMARY:

• We are seeking a Python Developer to join our team in developing scalable and efficient software solutions to support investment analytics and index construction.
• This role involves full lifecycle development, from design and implementation to continuous deployment, and close collaboration with quantitative researchers and product teams.
• The successful candidate will contribute to automating analytics, integrating research models, and enhancing performance and maintainability of our codebase.

WHAT YOU’LL BE DOING:

• Implement Python applications using object-oriented programming principles.
• Participate in the full software development lifecycle, including conceptualization, development, testing, and deployment.
• Analyse and optimize existing code for performance and maintainability.
• Work closely with quantitative researchers to integrate models and algorithms.
• Develop scalable, automated investment analytics and reporting tools.
• Collaborate to design and develop new index products.
• Respond to internal and external research queries related to index construction and analytics.

WHAT YOU’LL BRING:

• Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related technical field.
• Strong Python programming skills with an emphasis on object-oriented design
• Experience using data analysis libraries such as pandas and numpy, and visualisation tools like Matplotlib or Plotly.
• Familiarity with version control (Git) and collaborative development workflows, and software testing principles and frameworks
• Ability to clearly communicate technical concepts within a multi-functional team.
• A proactive outlook with a willingness to learn and adapt in a fast-paced environment.
• Strong time management and the ability to handle fast turnarounds and shifting priorities.
• Ideally, a background or interest in financial markets, financial instruments, sustainable investment and investment analytics.

WHAT YOU’LL GET IN RETURN:

• A comprehensive compensation package that includes a competitive salary, performance-based bonuses, and a robust benefits programme.
• Opportunities for ongoing training and professional development, including access to workshops, seminars, and conferences to improve your skills and advance your career.
• A flexible work environment that supports a healthy work-life balance, including remote work options and generous paid time off.
• The opportunity to contribute to meaningful projects that drive sustainable investing practices, making a positive impact on the environment and society.
• A dynamic and inclusive workplace where diverse perspectives are valued, encouraging collaboration and innovation among team members.
• The chance to participate in our thought leadership initiatives, influencing industry discussions on sustainable investing.

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.

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

Location: London

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.

Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.

Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Purpose
As a model implementation actuary within the internal model team at Canada Life, you will be responsible for designing, developing, supporting, testing and documenting Canada Life’s internal models. Ensuring that our internal models meet the needs of users and adhere to Canada Life’s model governance and regulatory requirements.

Key Accountabilities
• Design, develop, support, test and document internal models for credit, interest rate, inflation and equity release mortgages.
• Support the internal model operations team, investigating internal model queries, and proposing solutions.
• Work closely with the internal model design team, to understand new feature developments, and contribute to how these can be implemented within the internal model code
• Act as a conduit between the internal model team and IT to ensure our models are supported by IT and our processes are aligned with other development teams.
• Ensure internal models follow best practice standards
• Manage, coach, develop and motivate junior member of the team to support their development.
• Contribute knowledge sharing to the internal model implementing team

Desired Knowledge / Experience / Skills
Technical Expertise
• Strong capital modelling experience in market, credit and/or equity release mortgage risk space within life insurance industry.
• Experience with using python. Ideally knowledge of good software design principles and unit testing
• Experience with DevOps or GitHub for managing software developments.
• Knowledge of SII and IFRS17
• Use of generative AI

Communication
• Strong communication skills, demonstrating a clear and articulate standard of written and verbal communication in a complex environment, tailored for all levels of management.
• Strong ability to adapt messages to the audience, without prompting or significant coaching, in a format that is easily understood by non-technical colleagues

Relationship Building
• The ability to develop and maintain strong relationships across the actuarial function, IT and the wider business, acting with integrity and role modelling the company values at all times.
• Ability to flex their style and delivery, in the moment, depending on the individual and/or audience.

Taking Initiative
• Exceptional problem solving skills and attention to detail with demonstrable ability in spotting issues, interdependencies and challenges to ensure work is produced to an accurate, commercial and informed standard.
• Self-motivated, well-organised, pragmatic and able to perform tasks independently.

Developing Self and Others
• Strong skills and experience in managing and motivating a team from a diverse range of professional backgrounds and with varying levels of experience
• Strong coaching ability in technical, and non-technical skills in order to support the development of others.
• An interested and inquisitive individual who is committed to their own ongoing professional and personal development

Qualifications
• Fellow of Institute of Actuaries (or equivalent).

Benefits of working at Canada Life
We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.

How we work at Canada Life
Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward.

We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop.

Diversity and inclusion
Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus.

“At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK

We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.

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’re looking for a Machine Learning Engineer to join our Analytics division and play an important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products.

This role will see you combine hands-on model development and software engineering, and collaborate with a high-performing team of Quant Researchers and Developers as well as other cross-functional departments.

Responsibilities:

• Design, develop, and deploy machine learning models to enhance TradingHub’s market surveillance and analytics platform
• Contribute to the development of advanced metrics used to analyse trader behaviour, order execution and potential market abuse scenarios
• Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives
• Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows
• Collaborate closely with quantitative developers, data engineers, and product teams to productionise models into scalable, high-performance systems

Requirements

• Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
• Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning
• Industry experience using Large Language Models (LLMs) to deliver commercial value
• Experience building data pipelines and performing feature engineering on real-world datasets
• Strong problem-solving skills and attention to detail
• Good understanding of SQL and working with complex datasets
• Keen interest in financial markets e.g. pricing, trading, fixed income

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.

Role profile:

Are you an experienced software engineer with a passion for productioni z ing data science solutions? Do you want to build innovative products for financial professionals using cutting edge tech ? If so, we’d love to talk to you.

Role summary:

You will be working for a growing organization.

You will develop of high-impact, scalable AI solutions.

You will combine strategic thinking, strong problem-solving skills, and a collaborative approach to ensure your team successfully ships great products .

What you’ll be doing:

• Design and development of scalable software products .

• Solve complex technical issues, optimize workflows, and provide strategic insights to partners to support project goals and timelines.

• Collaborate closely with Data Science , research and product teams

• Set high technical standards

• This is a hands-on, individual contributor role

What you’ll bring:

Essential skills:

• Expert-level Python skills

• Extensive experience in software engineering with a focus on designing and implementing high-performance, scalable systems.

• Experience working cross functionally with Product and Research teams

• Experience in cloud technologies (emphasis on Azure) and deployment practices, ensuring seamless and scalable delivery.

• Experience working with ML and Data Science teams and productionizing ML solutions.

• Proven ability to uphold coding and design standards to ensure high-quality, maintainable code.

• Effective communication skills, with experience communicating with both technical and non-technica l colleagues

• Working knowledge of DevOps, including CI/CD pipelines, automated testing, and monitoring

• Experience in Fintech is a plus

Education

Degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return:

• High-impact projects : We work on a variety of pioneering AI products and leverage extensive datasets to solve high-value challenges.

• Competitive benefits : We offer a market leading compensation package, great benefits, and ongoing investment in career growth and skill development.

• Industry leadership : We deliver brand-new products that democratize modeling and analytics solutions.

• Career progression : We are a growing organization and w e provide opportunities for continuous learning and development

• We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

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

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.

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.

Embedded Software Engineer - £65k - £75k – London – Semi remote Hexwired Recruitment has partnered with a rapidly expanding Electronics manufacturer in London, they are now seeking an Embedded Software Engineer with solid experience working across Embedded systems as well as Software Architecture. The company are rapidly expanding due to successful investment as well as recent successes in the market. The company are working in a lucrative industry and are now seeking an Embedded Software Engineer to help develop a brand new product the company Is bringing to market. You will be working as part of a team to develop innovative solutions. As an Embedded software Engineer, the company are able to offer a few days working from home. Key Skills: \* Degree in Embedded systems, Computer Science or similar \* 3+ years commercial Embedded C experience \* Excellent experience working on both Architecture and Design of Embedded systems \* Strong commercial Modbus experience \* Experience working on IOT connected devices The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £75k dependent on experience along with an excellent benefits package and flexible working. If you’re interested in this Embedded Software role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Python, Electronics, Mechanical Design, LLM, Golang Development, Machine Learning, Data Science or Simulation contact us today

Company Description Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future. Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime – from birth to old age. Job Description We are seeking a passionate and innovative Genomic Data Scientist to join our cutting-edge team. You will work in an agile collaborative environment as part of multidisciplinary team, building state-of-the-art analytics into clinically fit production quality solutions plus implement robust, scalable analysis fit for clinics. Everyday responsibilities include: Researching the scientific literature, identifying new approaches to genome analysis, as well as contributing to the publication and dissemination of our learnings in the form of scientific papers, white papers and conferences. Developing and fine-tuning algorithms for variant prioritisation and classification for rare disease diagnostic and screening. Benchmarking and improving tools for processing and analysis of whole genome data (e.g. alignment, variant callers, quality control), and performing custom computational analyses.    We anticipate the ideal candidate will have experience in: One or more areas of human germline DNA analysis, such as rare disease genomics, population genetics, family-based analysis, genetic association testing, risk score prediction, structural variation, pharmacogenomics, typing of complex genomic regions such as HLA/KIR. Strong programming skills (Python essential, R desirable). Knowledge of statistics and/or statistical genetics and/or machine learning. Experience of high throughput sequencing algorithms. Managing the full cycle of analysing high-throughput sequencing data from sequencing quality control to annotation and prioritisation of variants, preferably human whole genome sequencing data. Qualifications A PhD involving one of the following: Rare Diseases, Computational Biology, Systems Biology, Statistical Genetics or equivalent work experience, Ideally, undergraduate studies with a strong quantitative discipline component (such as physics, computer science, or maths). These skills could also have been developed, for example, through a PhD in computational biology, statistical genomics, or statistical genetics. Additional Information Salary from £55,000 Please provide a cover letter highlighting how your skills and experience align with the role. Closing date for applications - Wednesday 29th April Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required). Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits. Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition programme and referral scheme. Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background. Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor. Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. Culture We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here