Applied ML Scientist

Oliver Bernard; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

Oliver Bernard is looking for an Applied ML Scientist to join a small AI company in London, focusing on industrial energy systems. You will design and train RL agents while collaborating with academic partners.

With a competitive salary of £80K–£110K and equity options, this hybrid role requires 3-5 years of experience in deploying RL agents in Python. The company values technical innovation and offers substantial energy savings for its clients.

Qualifications

• 3-5 years of experience deploying deep RL agents in Python.
• Ability to work across the full pipeline from training to inference.
• Experience in reward engineering and safety constraint handling.

Responsibilities

• Design and train RL agents for live control problems.
• Contribute to a research agenda alongside academic partners.
• Work in a hybrid model, with 1 day per week in Central London.

Skills

Deploying deep RL agents in Python

Comfortable at the intersection of ML and physical systems

Team collaboration in research and production

Job description

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.