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Lead AI/ML Engineer – Computer Vision & GenAI
London, UK | Hybrid
We’re supporting a high-growth technology business at the forefront of AI innovation in sport and human performance. They’re looking for a Lead AI/ML Engineer to take ownership of their applied machine learning function, with a strong focus on computer vision, automation, and generative AI.
This is a hands-on leadership role, ideal for someone who wants to combine technical expertise with team management and drive the strategy for applied AI/ML across a product suite that’s already impacting users worldwide.
The role
- Lead the development of computer vision models (2D/3D pose estimation, video analysis, biomechanics).
- Apply Generative AI techniques (synthetic data, video generation, code generation, intelligent agents) to improve automation, scale, and personalisation.
- Manage and mentor a small, specialist team.
- Define the AI/ML innovation strategy across core products.
- Build ML pipelines for large-scale video processing across edge and cloud.
- Ensure robustness, accuracy, and real-time performance of deployed models.
- Keep pace with emerging research and technologies, bringing new ideas into production.
- Partner with domain experts to translate biomechanical data into actionable insights.
What we’re looking for
- Proven technical leadership experience, ideally with direct reports.
- Strong background in computer vision and video-based deep learning.
- Proven experience in
- Hands-on skills with TensorFlow, PyTorch, OpenCV, and Python ML frameworks.
- Track record of deploying ML models into production environments.
- Excellent communication skills and ability to work cross-functionally.
Desirable
- MSc/PhD in Machine Learning, Computer Vision, or related field.
- Knowledge of Generative AI models (GANs, diffusion, LLMs).
- Experience with MLOps and lifecycle management.
- Familiarity with biomechanics, 3D pose estimation, or sports performance data.
- Experience in startups or fast-paced R&D.
Why apply?
- Flexible hybrid working (London office available).
- A chance to shape the future of AI in sport and human performance.
- Collaborative, mission-driven environment with global reach.
Key Skills
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