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- Tasks: Lead the development of AI systems for industrial machines and enhance autonomy.
- Company: Early-stage robotics company focused on innovative industrial solutions.
- Benefits: Competitive salary up to £200k, equity options, and a chance to shape the future.
- Why this job: Join a pioneering team and make a real impact in the robotics industry.
- Qualifications: Strong machine learning background and experience in real-world ML systems.
- Other info: Collaborate closely with the CTO and enjoy rapid career growth.
This is an early-stage robotics company building the intelligence layer for industrial machines – forklifts, cranes, excavators and other heavy equipment. The approach is pragmatic: start with remote teleoperation to generate real-world operator data at scale, then train Vision-Language-Action models toward increasing autonomy.
You’d join early to lead development of the learning systems powering that autonomy, working closely with the CTO.
What you'll do:- Lead development of the autonomy stack powering industrial machines
- Adapt and fine-tune existing Vision-Language-Action models (e.g. Pi0.5-style architectures) to real-world industrial robotics tasks
- Design training pipelines using real-world operator data
- Apply imitation learning to achieve reliable task automation
- Explore reinforcement learning approaches to improve success rates over time
- Work closely with robotics and platform engineers to turn models into deployed systems
- Strong background in machine learning with hands-on model development
- Experience building ML systems in real products, not just research environments
- Practical understanding of imitation learning or reinforcement learning
- Ability to prioritise pragmatic solutions over academic exploration
- Experience shipping ML-powered features in production environments
- Robotics experience is helpful but not mandatory
Shortlisted candidates will be contacted within 48 hours.
AI Lead (Robotics) in City of London employer: Axiōma Search
Contact Detail:
Axiōma Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead (Robotics) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI fields on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and robotics. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on practical applications of your knowledge. Be ready to discuss how you’d tackle real-world problems in robotics, especially around autonomy and model training.
✨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 love hearing from passionate candidates like you!
We think you need these skills to ace AI Lead (Robotics) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the AI Lead position. Share your passion for robotics and how your background can help us build the intelligence layer for industrial machines.
Showcase Real-World Experience: We’re looking for candidates who have hands-on experience in building ML systems. Be sure to include specific examples of how you've applied imitation or reinforcement learning in practical settings.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Axiōma Search
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around Vision-Language-Action models and reinforcement learning. Be ready to discuss your hands-on experience with model development and how you've applied these techniques in real-world scenarios.
✨Showcase Your Pragmatic Approach
This role values practical solutions over academic theories. Prepare examples of how you've prioritised effective, real-world applications in your previous work. Highlight any projects where you adapted existing models to meet specific challenges.
✨Collaborate Like a Pro
Since you'll be working closely with robotics and platform engineers, think of examples that demonstrate your teamwork skills. Be ready to discuss how you've successfully collaborated on projects to turn models into deployed systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to autonomy in industrial machines. This shows your genuine interest in the role and helps you understand their vision better. It’s also a great way to demonstrate your knowledge of the industry.