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# Robotics Learning Engineer - Humanoid Robotics / Deep Learning

- **Company:** Latent Edge Ltd
- **Location:** London, United Kingdom
- **Experience:** Experienced
- **Salary:** £150,000 - £200,000
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Training Data, Artificial Intelligence, Artificial Neural Networks, Learning Management Systems, Data Transformation, Software Debugging, Distributed Computing Environment, Python (Programming Language), Machine Learning, Motion Planning, Performance Tuning, Robotic Automation Software, Software Deployment, Software Engineering, Reinforcement Learning, Pytorch, Deep Learning
- **Published:** November 11, 2026
- **Apply:** https://www.cv-library.co.uk/job/225822929/Robotics-Learning-Engineer-Humanoid-Robotics-Deep-Learning

## About the Role

We're particularly interested in engineers who combine practical robotics experience with applied machine learning expertise., * At least 3 years' experience working with robotic systems in industry or research, with demonstrable project outcomes.

 * Hands-on experience developing, testing or deploying software on real robots.
 * Experience with deep learning and neural network training or fine-tuning.
 * Strong Python programming skills and familiarity with PyTorch, JAX or similar frameworks.
 * Understanding of robotic control systems, teleoperation or motion planning.
 * Experience working with machine learning datasets, model training and evaluation.
 * Strong software engineering skills, including debugging, testing and maintainable code development.
 * Ability to analyse experimental results and solve complex technical problems.

Desirable experience:

 * Reinforcement learning applied to robotic systems.
 * Robot manipulation, grasping or dexterous control.
 * Vision-Language-Action (VLA) models.
 * Behaviour cloning and imitation learning.
 * Sim-to-real reinforcement learning.
 * Experience with OpenVLA, diffusion policies or similar robotic learning frameworks.
 * Experience with distributed training, checkpointing and machine learning infrastructure.
 * Research publications or open-source contributions in robotics or machine learning.

## Description

Are you a Robotics Engineer with experience in deep learning, reinforcement learning or robot manipulation? Would you like to work on some of the most advanced humanoid robotics technology being developed today?

We're working with an ambitious humanoid robotics company in London that is developing next-generation robots for real-world industrial applications.

This is an opportunity to join a highly skilled engineering team working at the intersection of robotics, artificial intelligence, machine learning and physical hardware.

You'll be responsible for developing and improving the learning systems that enable humanoid robots to interact with and manipulate objects in real-world environments.

This isn't purely a simulation or research position. You'll be working directly with physical robots, taking machine learning models from training through to deployment and improving their performance on real hardware.

The Role

As a Robotics Learning Engineer, you'll join a specialist Manipulation team developing intelligent robotic capabilities.

Your responsibilities will include:

Developing and fine-tuning robot manipulation policies using behaviour cloning and reinforcement learning.

Training, evaluating and deploying machine learning models onto real robotic hardware.

Improving training datasets through preprocessing, curation and quality optimisation.

Working with simulation engineers to develop reinforcement learning environments and improve sim-to-real transfer.

Collaborating with data collection teams to improve training data quality, diversity and coverage.

Developing new observation and action spaces to support advanced robotic manipulation.

Working closely with teleoperation and controls engineers to improve robot movement, responsiveness and smoothness.

Investigating hardware and control limitations and contributing to future robot design improvements.

Running experiments, analysing results and identifying ways to improve robotic performance.