At a Glance
- Tasks: Lead ML infrastructure and turn research into scalable cybersecurity solutions.
- Company: Maze, a forward-thinking tech company based in London.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Opportunity to mentor junior engineers and drive innovation.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge machine learning technologies.
- Qualifications: Experience in ML engineering 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 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.
