Senior ML Engineer: Production LLMs for Cybersecurity in London

Senior ML Engineer: Production LLMs for Cybersecurity in London

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

At a Glance

  • Tasks: Lead ML infrastructure and turn research into scalable cybersecurity solutions.
  • Company: Maze, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working, and opportunities for mentorship.
  • Other info: Join a dynamic team with a focus on innovation and growth.
  • Why this job: Make a real impact in cybersecurity while mentoring the next generation of engineers.
  • Qualifications: Experience in machine learning and strong collaboration skills.

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

Maze in London is seeking an experienced ML Engineer to lead our machine learning infrastructure from experimentation to production.

You will own evaluation frameworks, production pipelines, and cross‑team ML integration with our CTO and product teams to turn research into robust, scalable cybersecurity solutions.

You will scale ML systems, mentor junior engineers, and drive real customer impact by improving agent performance and enabling rapid iteration in customer environments.

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Senior ML Engineer: Production LLMs for Cybersecurity in London employer: Maze

At Maze, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Full Stack Engineer, you'll enjoy significant autonomy in your role, working alongside a team of experts dedicated to building cutting-edge solutions at the intersection of generative AI and cybersecurity. With ample opportunities for professional growth and the chance to make a meaningful impact in a fast-paced startup environment, Maze is the perfect place for those looking to thrive and contribute to something extraordinary.

Maze

Contact Details:

Maze Recruitment Team

We think you need these skills to ace Senior ML Engineer: Production LLMs for Cybersecurity in London

Machine Learning
Production Pipelines
Evaluation Frameworks
Cross-Team Collaboration
Scalability
Mentoring
Cybersecurity Solutions