Lead and scale the ML engineering function at a pioneering AI platform. This strategic role combines hands-on technical leadership with team building, shaping ML architecture, and delivering world-class models. Partner with research and product to translate cutting-edge ML innovation into scalable, production-grade systems, driving impact across advanced engineering.
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Head of Machine Learning Engineering at VC-backed physics-based AI platform
Are you a visionary ML leader ready to shape the future of engineering? A pioneering deep-tech AI platform, backed by top-tier VCs, is seeking a Head of Machine Learning Engineering to lead and scale its ML function. This is a unique opportunity to define the ML architecture, build a world-class team, and deliver transformative physics-based AI solutions used by global industry leaders, redefining how products are engineered.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
VC-backed physics-based AI platform
What you will do
- Define and evolve the technical roadmap for ML systems—including model architecture, training infrastructure, and deployment practices.
- Hire, coach, and manage a world-class ML engineering team.
- Remain technically involved—whether prototyping, reviewing architecture, or unblocking the team.
Who this is a fit for
- 7+ years experience in ML/AI, including leadership roles in fast-moving technical environments.
- Deep fluency in applied machine learning, including physics-focused ML or geometric deep learning.
- Proven track record of delivering production ML systems (ideally at a startup or scale-up).
Why this role is remarkable
- Lead the foundational ML architecture and strategy for a transformative AI platform.
- Join a well-funded deep-tech AI startup with a proven platform used by global industry leaders.
- Drive innovation in physics-based AI, redefining how advanced engineering teams design and simulate physical systems.
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