Lead AI/ML Engineer (SportsTech - Computer Vision)

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.

There's clear scope for progression as the company scales, you could evolve into a Head of AI or senior leadership position, shaping the long-term direction of their applied AI and research strategy.

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

• Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement)
• Proven technical leadership experience, ideally with direct reports.
• Track record of deploying ML models into production environments.
• Hands-on skills with TensorFlow, PyTorch, OpenCV, and Python ML frameworks.
• 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.
• Experience in startups or fast-paced R&D.

Why apply?

• Flexible hybrid working (London office)
• A chance to shape the future of AI in sport and human performance.
• Collaborative, mission-driven environment with global reach.