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# Reinforcement Learning Engineer - Manipulation

- **Company:** Skl Robotics Ltd
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Software Debugging, Python (Programming Language), Reinforcement Learning, Pytorch, Large Language Models
- **Published:** September 15, 2026
- **Apply:** https://www.totaljobs.com/job/engineer/skl-robotics-ltd-job107982464

## About the Role

3+ years building deep-learning systems (industry or research) with shipped models or published artifacts to show for it.

Hands-on with at least one of: LLMs, VLMs, or image/video generative models - architecture, training, and inference.

Experience solving real problems using reinforcement learning with deep neural networks in any domain.

Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.

You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade-offs crisply.

Nice to have

Experience with simulators for robotics (Isaac Sim, MuJoCo etc.)

Experience in RL for robotics.

Experience building infrastructure for large-scale RL (e.g. using ray).

Publications at ICLR/ICML/NeurIPS or equivalent open-source contributions.

Familiarity with OpenVLA, Physical Intelligence (p) models, or similar open VLA frameworks.

## Description

We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies.


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