Applied ML Scientist | London (Hybrid 1 day a week) | £80K–£110K + Equity
I’m recruiting for a small, Series A-funded AI company (~30 people) applying reinforcement learning to industrial energy systems in production, not in simulation. Their approach keeps sensitive customer data on-site, which is a genuine technical differentiator in the space. Deployments deliver significant, measurable energy savings for customers with fast payback.
What you’ll be doing:
- Designing and training RL agents for live control problems
- Reward engineering, state design, and safety constraint handling
- Working across the full pipeline — from training through to on-site inference
- Contributing to a real research agenda alongside academic partners
What they need:
- 3–5 years deploying deep RL agents in Python
- Comfortable at the intersection of ML and physical systems
- Happy working in a small team where research and production sit side by side
Hybrid — 1 day/week in Central London.
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