ML Engineer – LSEG

Machine Learning/AI Engineer | £850/day Inside IR35 | 6-month initial contract | London

Industry: Technology
Location: London
Job Type: Contract – 6-month initial

This programme delivers a production-grade enterprise agentic AI platform, with MCP as the extensibility layer.

Responsibilities

  • Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
  • Implement Skills that combine tools, data, and reasoning into structured, repeatable, and governed workflows.
  • Contribute to the internal AI assistant’s agentic framework, including planning, tool invocation, and orchestration logic.
  • Develop secure API wrappers for systems that lack appropriate authentication, authorisation, or entitlement mechanisms.
  • Work closely with product engineering teams in a “build-for” model, transferring knowledge and establishing reusable engineering patterns.
  • Shape the developer experience for MCP and Skills, including templates, contribution standards, and documentation.
  • Collaborate with Quality Engineering and SRE teams to ensure solutions meet requirements for reliability, governance, and operational readiness.

Skills & Experience Required

  • Strong Python development experience in production environments.
  • Hands-on experience with LLMs, agent frameworks, and agentic reasoning patterns.
  • Practical understanding of Model Context Protocol (MCP), including tool and server design patterns.
  • Experience building REST APIs, ideally using FastAPI.
  • Familiarity with prompt engineering and retrieval-augmented generation (RAG) architectures.
  • Experience with containerisation and Kubernetes-based deployment environments.
  • Ability to operate across platform, product, and governance boundaries in large enterprise settings.

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At a glance

  • Job reference: BBBH38946_1778259106
  • Location: London, Greater London
  • Job type: Contract
  • Job sector: Software Engineering & Quantitative Development
  • Salary: £800 - £850 per day
  • Published: May 8, 2026