Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop cutting-edge RL policies for intelligent robotic platforms and bridge simulation with real-world applications.
- Company: High-profile robotics organisation in the heart of London.
- Benefits: Competitive salary, fantastic benefits, and access to cutting-edge hardware.
- Why this job: Join a dynamic team and shape the future of LLMs and Embodied AI.
- Qualifications: 5+ years in deep learning and proven RL expertise required.
- Other info: Collaborative environment with opportunities for impactful work.
The predicted salary is between 36000 - 60000 £ per year.
A high-profile robotics organization is urgently seeking a high-caliber RL Engineer (Manipulation) to join their London-based R&D team. This role is pivotal in bridging the gap between simulation and real-world application, focusing on the development of language-vision conditioned policies for next-generation intelligent robotic platforms.
Responsibilities
- Sim-to-Real Transfer: Developing manipulation tasks in simulators (Isaac Sim/MuJoCo) and successfully deploying trained policies onto physical hardware.
- VLA Policy Development: Training Vision-Language-Action models via RL to enable robots to execute actions based on visual and linguistic context.
- Trajectory Scaling: Collaborating with teleops teams to transform human trajectories into robust robotic skills through behaviour cloning.
- High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure.
Qualifications
- Deep Learning Mastery: 5+ years building and shipping models, with deep hands-on expertise in LLMs, VLMs, or generative architectures.
- Industry Experience: 3+ years of commercial experience delivering production-grade AI solutions.
- RL Expert: A proven track record of solving complex, real-world problems using Deep Reinforcement Learning.
- Technical Rigour: Mastery of Python and PyTorch/JAX, including the ability to profile performance and debug complex numerical stability issues.
- Robotics Foundation: Practical experience with simulators (Isaac Sim/MuJoCo) and a deep understanding of sim-to-real bottlenecks.
Benefits
- Competitive Package
- Central London 5 days in office
- Collaborative working environment
- Fantastic benefits
- Cutting-Edge Hardware
How to apply
If you are looking to join a high-profile robotics organization and make a tangible impact on the future of LLMs and Embodied AI, this is the ideal opportunity for you. To discuss this role further, please apply directly to this advert or send your CV to (url removed).
Reinforcement Learning (RL) Control Engineer in City of London employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reinforcement Learning (RL) Control Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RL and manipulation tasks. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch/JAX skills. Practice coding challenges and be ready to discuss your past projects in detail—employers love to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals like you!
We think you need these skills to ace Reinforcement Learning (RL) Control Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with RL and robotics. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about RL and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role requires deep technical expertise, make sure to mention your proficiency in Python, PyTorch, and any experience with simulators like Isaac Sim or MuJoCo. We’re looking for those who can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Stuff
Make sure you brush up on your deep learning and reinforcement learning concepts. Be ready to discuss your experience with LLMs, VLMs, and generative architectures. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to real-world applications.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed manipulation tasks in simulators like Isaac Sim or MuJoCo. Highlight how you successfully deployed trained policies onto physical hardware. Real examples will make your experience stand out!
✨Collaborate and Communicate
Since this role involves working closely with teleops teams, be ready to demonstrate your teamwork skills. Share experiences where you’ve collaborated effectively to transform human trajectories into robotic skills. Communication is key!
✨Technical Proficiency is Key
Be prepared to dive deep into your technical skills, especially in Python and PyTorch/JAX. They might ask you to solve a problem on the spot or discuss how you debugged complex numerical stability issues. Show them you’re not just a coder, but a high-performance engineer!
