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

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