Lead AI Platform Engineer for Agentic ML & MCP

Lead AI Platform Engineer for Agentic ML & MCP

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
London Stock Exchange Group

At a Glance

  • Tasks: Lead the design of AI platforms and integrate cutting-edge technologies.
  • Company: Join the London Stock Exchange Group, a leader in financial technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in the finance sector.
  • Why this job: Shape the future of enterprise AI and make a significant impact.
  • Qualifications: Experience in machine learning and strong collaboration skills required.

The predicted salary is between 80000 - 100000 Β£ per year.

London Stock Exchange Group is seeking a Lead ML Engineer to shape the next generation of enterprise AI platforms. You will design MCP servers and tools that expose internal systems to AI agents, implement skills that orchestrate tools and data, and collaborate with product teams to ensure governance, security, and scalable performance across the MCP ecosystem.

The role emphasizes building and integrating agentic capabilities with LSEG AI Assist, QAS, and MCP gateway.

Lead AI Platform Engineer for Agentic ML & MCP employer: London Stock Exchange Group

At London Stock Exchange Group, we pride ourselves on being an exceptional employer that champions innovation and sustainability. Our collaborative work culture fosters professional growth, offering employees ample opportunities to develop their skills in a dynamic environment focused on sustainable investment. Located in the heart of London, we provide a vibrant workplace with access to industry-leading resources and a commitment to making a positive impact in the financial sector.

London Stock Exchange Group

Contact Details:

London Stock Exchange Group Recruitment Team

We think you need these skills to ace Lead AI Platform Engineer for Agentic ML & MCP

Machine Learning Engineering
AI Platform Design
MCP Server Development
Tool Integration
Data Orchestration
Collaboration with Product Teams
Governance and Security Implementation