Senior ML QA Engineer – AI Platform & Governance in London

Senior ML QA Engineer – AI Platform & Governance in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
LSEG

At a Glance

  • Tasks: Evaluate MCP tools, build automated test pipelines, and mitigate agentic risk.
  • Company: Join the London Stock Exchange Group, a leader in financial markets.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and career advancement.
  • Why this job: Be at the forefront of AI governance and make a significant impact.
  • Qualifications: Experience in ML testing and strong collaboration skills required.

The predicted salary is between 70000 - 90000 Β£ per year.

London Stock Exchange Group (LSEG) is seeking a Senior Associate for the Corporate Engineering AI (CE AI) Team in London.

The role focuses on evaluating MCP tools and Skills, building automated test pipelines, and mitigating agentic risk across a regulated enterprise.

You will partner with ML engineers to embed test hooks and contribute to a federated governance model for AI tools and platforms within LSEG.

#J-18808-Ljbffr

Senior ML QA Engineer – AI Platform & Governance in London 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 QA Engineer – AI Platform & Governance in London

Machine Learning
Automated Testing
Test Pipeline Development
Risk Mitigation
Collaboration with ML Engineers
Governance Model Contribution
Evaluation of MCP Tools