Overview
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.
Responsibilities
- 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.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.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.#J-18808-Ljbffr