At a Glance
- Tasks: Design and train reinforcement learning agents for real-world energy systems.
- Company: Small, innovative AI company focused on energy efficiency.
- Benefits: Competitive salary, equity options, and hybrid work model.
- Other info: Collaborative environment with opportunities for research and professional growth.
- Why this job: Make a tangible impact on energy savings while working with cutting-edge technology.
- Qualifications: 3-5 years of experience in deploying deep RL agents using Python.
The predicted salary is between 80000 - 110000 £ per year.
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.
Applied ML Scientist in London employer: Oliver Bernard
Join a pioneering AI company in London that values innovation and collaboration, offering a unique opportunity to work on cutting-edge reinforcement learning applications in industrial energy systems. With a strong focus on employee growth, a supportive work culture, and the chance to make a tangible impact on energy savings for clients, this small yet dynamic team fosters an environment where your contributions are recognised and rewarded. Enjoy the flexibility of a hybrid working model while being part of a mission-driven organisation that prioritises both technical excellence and meaningful outcomes.
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We think you need these skills to ace Applied ML Scientist in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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