Lead AI and Process Modelling Engineer at Alpha Machines

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Job TitleLead AI and Process Modelling EngineerSalaryNot Disclosed + Equity

Company Description

Alpha Machines is a London-based industrial AI company founded by repeat unicorn builders to re-industrialise Europe through advanced power electronics. They are building AlphaOS, a platform that combines physics-informed modelling with modern ML to design and manufacture critical propulsion systems for aerospace, defence, and robotics applications.

Job Description

As a founding team member, you will own the AI and physics modelling layer of AlphaOS, bridging the gap between thermodynamics and machine learning. You will design prediction, anomaly-detection, and planning surfaces for digital twins, ensuring factory reasoning is grounded in physical truth to optimize yield and throughput for global customers.

LocationLondon, UKWhy this role is remarkableJoin a high-caliber founding team led by repeat unicorn founders with a proven track record of scaling massive technology companies.

Work at the cutting edge of the "physical AI" revolution, building the software intelligence layer for vertically integrated European manufacturing facilities.

Enjoy significant impact and ownership as a founding-team member with equity, defining the technical bar for how LLMs reason about physical systems.

What You Will Do

• Architect the AI and physics modelling layer of Alpha
• OS, encompassing process-level prediction, anomaly detection, and root-cause analysis.
• Encode complex domain physics—including kinetics, thermodynamics, and chemistry—into the digital twin to drive production yield and quality.
• Design and ship LLM-driven reasoning surfaces, such as agents and retrieval systems, that produce actionable outputs for factory operators.

The ideal candidate

• Has 4+ years of experience in applied ML or computational physics, with a background at places like Deep
• Mind, Palantir, or top research groups.
• Possesses expert-level Python skills and fluency in PyTorch or JAX, with a track record of shipping production-grade ML systems.
• Demonstrates deep expertise in physics-informed neural networks, industrial time-series forecasting, or grounding LLM reasoning in structured operational data.
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