We have partnered with a ground-breaking, award-winning technology company building the future of sports talent identification and development. Our partner builds AI-driven tools that generate and analyse sports data, helping clubs, national federations and players unlock real-time analysis and valuable insights. Their technology is already in production and used at the very top of the game, including at global sporting events, and they are now looking for a talented AI Engineer to join a small, fast-moving team and help build the technology of tomorrow.
The Role
Design, develop, test & deploy production-ready algorithms for sports performance analysis.
Collaborate closely with sport scientists to translate motion and biomechanics into actionable AI/ML models.
Set up and maintain CI/CD pipelines for ML model delivery, ensuring reliable, repeatable deployments
Monitor deployed models for performance degradation, data drift, and system health; implement automated alerting and retraining triggers.
Ensure high accuracy, robustness, and real-time performance of deployed models.
Build and optimise inference pipelines that support large-scale video processing across edge and cloud platforms.
Own model deployment infrastructure using AWS services (ECR, Lambda, S3 or equivalent) and infrastructure-as-code tooling
What You'll Need
Proven experience in algorithm development, including image and video processing in production.
Experience in developing and deploying ML models in real-world, high-stakes production environments
Strong algorithm design skills, comfortable working with time-series data, optimisation problems and performance evaluation techniques
Solid DevOps experience, CI/CD, containerisation (e.g. Docker) and cloud-based model deployment (MLOps).
Strong Python skills with data processing and analysis libraries (e.g. Pandas, OpenCV).
Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow).
Strong grasp of software engineering fundamentals: version control, testing, code review, and documentation
MSc or PhD in a related field.
Experience working in a start-up or fast-paced, high-autonomy environment.
We use essential cookies to make this site work. With your permission we would also like to use the optional cookies below. Nothing optional is set until you choose, and you can change your mind at any time from "Cookie settings" at the bottom of every page. Cookie policy.
Essential — keep the site working and secure, and remember the choice you make here. Always on.