At a Glance
- Tasks: Design and build AI tools that enhance enterprise systems and workflows.
- Company: Join LSEG, a leader in financial markets and data innovation.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Collaborative culture that values diversity and encourages new ideas.
- Why this job: Be part of a creative team driving sustainable growth through cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with FastAPI, REST APIs, and Kubernetes.
The predicted salary is between 63000 - 77000 £ per year.
The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG's internal agentic AI ecosystem. The team's mission is to scale safe, high‐quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway.
Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services "for" product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution.
LSEG AI Assist / Internal MCP Programme of Work
This programme delivers an LSEG‐owned, production‐grade agentic AI platform with MCP as its extensibility layer.
- Building and operating LSEG AI Assist, an in‐house agentic experience capable of reasoning, planning, and tool‐calling.
- Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.
- Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.
- Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.
- Establishing evaluation, quality control, and governance mechanisms so MCP tools and Skills can be promoted through PTB/PTO and operated with confidence at scale.
ML Engineers – Responsibilities & Skills
Responsibilities
- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
- Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows.
- Contribute to the LSEG AI Assist agentic harness, including planning, tool‐calling, and orchestration logic.
- Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.
Skills
- Strong Python development experience.
- Practical understanding of Model Context Protocol (MCP), including server and tool patterns.
- FastAPI and REST API design and implementation experience.
- Containerisation and Kubernetes‐based deployment experience.
Join us and be part of a team that values innovation, quality, and continuous improvement. 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. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. 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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Summary Location: GBR-London-5 Canada Square Type: Full time
Lead Engineer - Field Quality in London employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer - Field Quality in London
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We think you need these skills to ace Lead Engineer - Field Quality in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at London Stock Exchange Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at London Stock Exchange Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at London Stock Exchange Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If London Stock Exchange Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
