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Salary
≈ $104k – $195k per year (Estimated)
Location
In office (London)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jul 23, 2026. London Stock Exchange scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.

Join LSEG's Corporate Engineering AI team as a Senior Machine Learning Engineer. In this role, you will be at the forefront of scaling safe, high-quality AI capabilities across the enterprise. You will work on core AI platforms, including LSEG AI Assist and the Question Answering Service (QAS), and contribute to the development of a production-grade agentic AI platform. Your responsibilities will include designing and building MCP servers and tools, implementing Skills, and shaping the developer experience for MCP and Skills. You will collaborate with product teams, Quality Engineers, and SREs to ensure solutions meet quality, governance, and operational readiness expectations.

Missions

  • Conception et développement de serveurs MCP et d'outils qui exposent les systèmes et les flux de travail de l'entreprise aux agents d'IA.
  • Mise en œuvre de compétences qui orchestrent les outils, les données et le raisonnement en flux de travail répétables et régis.
  • Collaboration avec les équipes produit dans une capacité de "construction pour", transfert de connaissances et établissement de modèles réutilisables.

Profil recherché

- 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

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