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Job listing

London, United KingdomNot Disclosed

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.

Overview

Role overview

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.

Company

About the company

VC-backed physics-based AI platform

Responsibilities

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.

Candidate profile

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).

What makes it remarkable

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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