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.
Lead AI and Process Modelling Engineer at Alpha Machines
Alpha Machines is re-industrialising Europe by building the critical infrastructure for the physical AI economy. Led by repeat unicorn founders, they are seeking a Lead AI and Process Modelling Engineer to join their founding team in London. You will architect the AI and physics modelling layer of AlphaOS, grounding LLM reasoning in real-world thermodynamics and kinetics to power advanced aerospace and defence manufacturing. If you want to ship production ML that controls real machines on the factory floor and own the intelligence layer of a vertically integrated industrial powerhouse, this is your opportunity.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Alpha Machines
Role overview
Alpha Machines is building critical infrastructure for the physical AI economy. We are a team of engineers, builders and repeat (unicorn) founders, who believe that the moment has come for Europe to re-industrialise
What you will do
- Architect the AI and physics modelling layer of AlphaOS, 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.
Who this is a fit for
- Has 4+ years of experience in applied ML or computational physics, with a background at places like DeepMind, 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.
Why this role is remarkable
- Join 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.
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