Edge RL Engineer for Live Data Centre Cooling

Wave Recruitment; Greater London; Hybrid; GBP 75,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Visa sponsorship available

Direct access to CTO

Job summary

Wave Recruitment is helping a client in London recruit an ML Engineer specializing in reinforcement learning to design and deploy agents for live data-centre cooling. You will work across research and deployment, reporting to the CTO/Head of AI, and balance experimentation with producing stable production code on hybrid sites.

The role requires 3–5 years of RL experience, Python, and experience with PyTorch or JAX, plus a strong physics or engineering background.

Qualifications

• 3–5 years of experience training and deploying deep RL agents in Python.
• Experience with PyTorch or JAX and RL libraries such as Gymnasium.
• Background in physical systems (mechanical, electrical, controls) and ability to reason about physical feasibility.

Responsibilities

• Train and deploy deep RL agents for live cooling control.
• Design reward functions and constraints aligned with ASHRAE standards and SLAs.
• Bridge research exploration and engineering to run on live sites.
• Develop and maintain simulators and digital twins.

Skills

Python

Deep RL

Research-to-Deployment

System thinking

Education

Engineering/Physics background

Tools

PyTorch

JAX

Gymnasium

Job description

Wave Recruitment is helping a client in London recruit an ML Engineer specializing in reinforcement learning to design and deploy agents for live data-centre cooling. You will work across research and deployment, reporting to the CTO/Head of AI, and balance experimentation with producing stable production code on hybrid sites.

The role requires 3–5 years of RL experience, Python, and experience with PyTorch or JAX, plus a strong physics or engineering background.