Senior RL Control Engineer for Legged Locomotion

Senior RL Control Engineer for Legged Locomotion

Full-Time 60000 - 75000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop RL solutions for legged locomotion and manipulation on real hardware.
  • Company: All3, a pioneer in transforming building development.
  • Benefits: Competitive salary, flexible hours, and opportunities for hands-on innovation.
  • Other info: Join a forward-thinking team dedicated to real-world applications.
  • Why this job: Make a tangible impact in construction tech with cutting-edge robotics.
  • Qualifications: Experience in reinforcement learning and robotics engineering.

The predicted salary is between 60000 - 75000 £ per year.

All3 is transforming how buildings are conceived, developed and delivered.

We seek a Senior/Lead Reinforcement Learning Control Engineer to develop learning-based locomotion and manipulation policies for our large legged platform, Mantis, in Park Royal.

You will design RL solutions tightly integrated with our framework for robust operation in construction environments.

This is not simulation-only work; you’ll deploy on real hardware, ensure safety, stability and performance, and collaborate with

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Senior RL Control Engineer for Legged Locomotion employer: All3

All3 is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of robotics. With a strong emphasis on mentorship and professional development, employees are encouraged to grow their skills in advanced platform engineering or robotics while working on impactful projects. The hybrid work format allows for flexibility, making it an attractive workplace for those seeking meaningful and rewarding employment in Greater London.

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Contact Details:

All3 Recruitment Team

We think you need these skills to ace Senior RL Control Engineer for Legged Locomotion

Reinforcement Learning
Control Engineering
Robotics
Policy Development
Hardware Deployment
Safety Assurance
Stability Analysis