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- Tasks: Lead the development of advanced robot learning models and deploy them on real robotic systems.
- Company: Join a pioneering robotics organisation in Bristol focused on next-gen humanoid systems.
- Benefits: Competitive salary, career progression, and opportunities to publish research.
- Other info: Collaborative team environment with exciting growth in a fast-evolving sector.
- Why this job: Work at the forefront of robotics technology and make a tangible impact.
- Qualifications: MSc or PhD in Machine Learning or Robotics with strong Python and PyTorch skills.
The predicted salary is between 50000 - 70000 £ per year.
Location: Bristol (On-site)
Job Type: Permanent, Full-time
About the Role
An exciting opportunity has arisen for a Senior Robot Learning Engineer to join an advanced robotics organisation developing next-generation humanoid systems. You will lead the development of large-scale behaviour models for robotic manipulation, bridging cutting-edge machine learning research with real-world deployment.
Key Responsibilities
- Architect and train large-scale robot learning models
- Develop diffusion transformer and VLA-based policies
- Advance reinforcement learning pipelines
- Build sim-to-real transfer capabilities
- Deploy policies onto physical robotic systems
Skills & Experience Required
- MSc or PhD in Machine Learning, Robotics, or similar
- Strong experience in robot learning and real-world deployment
- Expertise in reinforcement learning, diffusion models, or behaviour cloning
- Strong Python and PyTorch experience
- Experience with large-scale model training
- Experience with humanoid robotics
- Sim-to-real pipelines (MuJoCo, Isaac Sim)
- Published research or equivalent practical impact
Work on cutting-edge robotics technology. Opportunity to publish research. Collaborative, high-performing team. Career progression in a fast-growing sector.
Robotics Engineer in England employer: OpenSourced - Search & Selection
Contact Detail:
OpenSourced - Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Robotics Engineer in England
✨Tip Number 1
Network like a pro! Connect with professionals in the robotics field on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving robot learning and reinforcement learning. We recommend including links to any published research or practical applications you've worked on.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. We suggest doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Robotics Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Robotics Engineer role. Highlight your experience with robot learning, reinforcement learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially those involving large-scale model training or sim-to-real pipelines. If you've published research, mention it! This helps us understand your practical impact in the field.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about robotics and how your background makes you a great fit for our team. We love seeing enthusiasm and a clear connection to our mission.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at OpenSourced - Search & Selection
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and robotics. Be ready to discuss your experience with reinforcement learning, diffusion models, and any relevant projects you've worked on. This is your chance to show off your expertise!
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed large-scale robot learning models or worked on sim-to-real transfer capabilities. Highlight your role, the challenges you faced, and how you overcame them. Real-world examples will make you stand out!
✨Get Familiar with Their Tech
Research the company's current projects and technologies. If they’re using specific tools like MuJoCo or Isaac Sim, be prepared to discuss your experience with them. Showing that you understand their work will demonstrate your genuine interest in the role.
✨Ask Smart Questions
Prepare insightful questions about the team dynamics, ongoing projects, and future directions of the company. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!