AI & Emerging technologies

Senior ML Engineer

London Stock Exchange Group

London · Greater London · United Kingdom

Overview

In this role you will contribute to the Corporate Engineering AI program, building and evolving production-grade AI platform components that enable enterprise-wide, governed agentic capabilities. You will partner with product teams to deliver reusable MCP-based patterns and tools, ensuring secure, scalable AI interactions. You will shape the developer experience and collaborate with quality and site reliability engineers to maintain high standards. This is a chance to impact how LSEG exposes data, systems, and actions to AI agents at scale.

Pay / Benefits
  • healthcare
  • retirement planning
  • paid volunteering days
  • wellbeing initiatives
Responsibilities
  • Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents
  • Implement Skills to orchestrate tools, data, and reasoning into repeatable, governed workflows
  • Contribute to the LSEG AI Assist harness, including planning, tool-calling, and orchestration logic
  • Create secure API wrappers when backend systems lack suitable authentication or entitlement models
  • Collaborate with product teams in a build-for capacity, sharing knowledge and reusable patterns
  • Shape the developer experience for MCP and Skills, including templates and contribution guidance
  • Partner with Quality Engineers and SREs to meet quality, governance, and operational readiness standards
Key requirements
  • Strong Python development experience
  • Hands-on with LLM and agent frameworks and agentic reasoning patterns
  • Practical understanding of 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
  • Cross-functional collaboration
  • Effective communication with product, governance, and engineering teams
  • Problem-solving and proactive knowledge sharing
  • Python
  • LLM and agent frameworks
  • MCP (Model Context Protocol) concepts

Reference: WJ-747_31175926 · Posted 01 Nov 2026

Find more on GigBlows

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.