Robotics | Computer Vision | Embodied AI
We're working with one of Europe's most exciting robotics startups, building intelligent robotic systems that are already being deployed into real manufacturing environments.
Following significant growth, they're looking for an experienced AI Team Lead to take ownership of a multidisciplinary AI function focused on computer vision, perception and machine learning for real-world robotics.
You'll lead a team of around nine AI engineers while remaining close to the technology - reviewing code, making architectural decisions, mentoring engineers, and helping solve complex technical problems when needed. The team is highly technical, so credibility comes from your ability to lead by example as much as your management experience.
What you'll be doing
- Leading, mentoring and developing a growing team of AI engineers
- Driving technical direction across perception, computer vision and machine learning
- Conducting code reviews and providing technical guidance across the team
- Hiring, performance managing and coaching engineers
- Working closely with robotics and software teams to deliver production-ready AI systems
- Defining engineering standards, best practices and development processes
- Supporting the deployment of AI models onto real robotic hardware
- Helping shape the long-term AI roadmap alongside senior engineering leadership
- Previous experience leading an AI, Machine Learning or Computer Vision engineering team
- A strong background in Computer Vision and deep learning
- Experience building production ML systems rather than purely research projects
- Strong Python and PyTorch experience
- Experience working with multimodal data and large-scale datasets
- Exposure to robotics, embedded systems or hardware-focused AI applications
- Confidence reviewing code and supporting engineers with technical challenges
- Experience hiring, mentoring and managing performance within engineering teams
- Robotics or embodied AI experience
- 3D perception or sensor fusion
- ROS2, Docker or Kubernetes
- NVIDIA edge platforms
- Synthetic data or simulation
- Cloud infrastructure and MLOps tooling
This is an opportunity to shape the AI capability of a rapidly growing robotics company solving genuinely difficult engineering problems.
You'll join a business with real customers, production deployments and ambitious growth plans, working alongside an experienced leadership team with the autonomy to influence both technology and team direction.
If you're an experienced technical leader who still enjoys getting into the code and wants to build AI that operates on real robots rather than prototypes, we'd love to hear from you.
Interested? Apply now for a confidential discussion to learn more about the company, technology and opportunity.
