Location
London

Hours
Full Time

Salary
Negotiable

About the Role
The Corporate Engineering AI (CE AI) team at London Stock Exchange Group (LSEG) 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.

The LSEG AI Assist / Internal MCP Programme of Work delivers an LSEG-owned, production-grade agentic AI platform with MCP as its extensibility layer. This includes 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; and establishing evaluation, quality control, and governance mechanisms to promote MCP tools and Skills through PTB/PTO and operate them confidently at scale.

The programme currently follows a “build for” model with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time.

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, committed to driving financial stability, empowering economies, and enabling customers to create sustainable growth. We foster a collaborative and creative culture encouraging new ideas and are proud to be an equal opportunities employer. Our values of Integrity, Partnership, Excellence, and Change underpin everything we do. We offer a range of tailored benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.

Experience
- Strong Python development experience
- Hands-on experience with LLM and agent frameworks and agentic reasoning patterns
- Practical understanding of Model Context Protocol (MCP), including server and tool patterns
- FastAPI and REST API design and implementation experience
- Experience with prompt engineering and RAG-based architectures
- Containerisation and Kubernetes-based deployment experience
- Ability to work across platform, product, and governance boundaries in an enterprise environment

About you
You are a motivated and skilled ML Engineer with a passion for building scalable AI platforms and tools. You thrive in collaborative environments and are eager to contribute to defining standards, patterns, and developer experiences that enable federated scale. You have strong problem-solving skills and a commitment to quality, governance, and operational readiness.

Qualifications
Relevant experience in machine learning engineering, software development, or related fields is expected. Specific formal qualifications are not detailed but a strong technical background and proven expertise in the required skills are essential.