Head of Machine Learning Engineering at VC-backed physics-based AI platform

Jack & Jill / External ATS; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A pioneering AI platform in the UK is seeking a Head of Machine Learning Engineering to lead and scale its ML function. This full-time role blends technical leadership with team management to shape ML architecture and drive innovation. Candidates should have over 7 years of experience in ML/AI and a proven track record in delivering robust production systems. Join a venture-backed company that's redefining physics-based AI in engineering.

Qualifications

• 7+ years of experience in ML/AI, including leadership roles.
• Deep fluency in applied machine learning.
• Proven track record of delivering production ML systems.

Responsibilities

• Define and evolve the technical roadmap for ML systems.
• Hire, coach, and manage a world-class ML engineering team.
• Stay technically involved in prototyping and architecture reviews.

Skills

Leadership in ML/AI

Applied Machine Learning

Physics-focused ML

Team Management

Job description

Head of Machine Learning Engineering

Company Description: VC-backed physics‑based AI platform.

Job Description

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.

Location

London, UK

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.

Responsibilities

• 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.

Ideal Candidate

• 7+ years of 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).

How to Apply

Visit our website, click “Speak with Jack,” log in with your LinkedIn profile, and schedule a brief introductory chat. If the hiring manager is interested, Jack will facilitate the introduction.

Employment Type

Full‑time