Senior ML Engineer – Agentic AI Platform Lead

Senior ML Engineer – Agentic AI Platform Lead

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
LSEG

At a Glance

  • Tasks: Design and implement AI workflows and tools for enterprise applications.
  • 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: Dynamic team environment with significant career advancement potential.
  • Why this job: Be at the forefront of AI innovation and shape the future of finance.
  • Qualifications: Experience in machine learning and strong collaboration skills required.

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

London Stock Exchange Group (LSEG) seeks an ML Engineer to design MCP servers and tools that expose enterprise workflows to AI agents.

You will implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows and contribute to the LSEG AI Assist harness.

You will collaborate across product teams to build secure API wrappers, transfer knowledge, and help shape patterns and standards for enterprise-scale AI capabilities.

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Senior ML Engineer – Agentic AI Platform Lead employer: LSEG

LSEG is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration on cutting-edge projects in a hybrid work environment. Join us in London to be part of a forward-thinking team that values creativity and technical expertise, making a meaningful impact in the world of finance and technology.

LSEG

Contact Details:

LSEG Recruitment Team

We think you need these skills to ace Senior ML Engineer – Agentic AI Platform Lead

Machine Learning Engineering
API Development
Workflow Design
Data Orchestration
Enterprise AI Capabilities
Collaboration Skills
Knowledge Transfer