Data Center Cooling RL Engineer (Hybrid) in London

Data Center Cooling RL Engineer (Hybrid) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Wave Recruitment

At a Glance

  • Tasks: Develop RL agents to optimise cooling systems in data centres.
  • Company: Wave Recruitment, a forward-thinking tech recruitment agency.
  • Benefits: Hybrid working, competitive salary, and collaboration with industry leaders.
  • Other info: Work closely with the CTO and founding team in a dynamic environment.
  • Why this job: Join a pioneering team and make a real difference in data centre efficiency.
  • Qualifications: 3-5 years in deep RL, Python proficiency, and knowledge of PyTorch or JAX.

The predicted salary is between 60000 - 80000 Β£ per year.

Wave Recruitment is hiring an ML Engineer - Reinforcement Learning in London. The role involves developing RL agents for optimizing cooling systems in data centres, requiring a practical understanding of physical systems.

Candidates should have:

  • 3-5 years of experience in deep RL
  • Proficiency in Python
  • Familiarity with PyTorch or JAX

The position offers hybrid working arrangements and requires working closely with the CTO and founding team.

Data Center Cooling RL Engineer (Hybrid) in London employer: Wave Recruitment

Wave Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, team members benefit from direct mentorship from the CTO and founding team, alongside hybrid working arrangements that promote work-life balance. Located in London, employees enjoy access to a vibrant tech community and numerous professional development opportunities, making it an ideal place for those seeking meaningful and rewarding careers in cutting-edge technology.

Wave Recruitment

Contact Details:

Wave Recruitment Recruitment Team

We think you need these skills to ace Data Center Cooling RL Engineer (Hybrid) in London

Reinforcement Learning
Deep Learning
Python
PyTorch
JAX
Optimisation Techniques
Understanding of Physical Systems