Applied AI/ML Engineer
5 days ago
Job Title - Applied AI/ML Engineer
Location - London
Working Pattern - Hybrid (3 days a week in London)
I'm supporting a cutting-edge SportsTech company that's building AI products for the Sports industry. They use computer vision, biomechanics and performance analytics to analyse human performance.
This is a great opportunity to join a growing engineering team with someone who wants to build production-grade AI.
This role suits an AI/ML Engineer who enjoys working close to the product, solving tricky problems around human movement, pose estimation and large-scale video data. You'll join a small senior team, so you'll have the chance to design core systems, push models into production and see your work used in real-world environments.
What you'll be working on
- Designing and implementing ML workflows for pose estimation and motion analysis
- Evaluating computer vision and ML models on large-scale video datasets
- Supporting synthetic data generation and labelling pipelines
- Optimising inference for real-time and batch processing
- Working closely with engineering, biomechanics and product teams
What they're looking for
- Strong experience with deep learning frameworks (PyTorch or TensorFlow)
- Background in 3D human pose estimation, skeletal tracking or multi-view geometry
- Solid Python skills and experience with image/video data processing
- Understanding of ML model training and evaluation at scale
- Comfortable working independently and contributing to collaborative codebases (Git)
Nice to have
- Experience in sports science, biomechanics or athlete performance analytics
- Familiarity with production engineering practices
- Exposure to cloud deployment or MLOps tooling
- Experience optimising models for edge devices (TFLite, OpenVINO, ONNX)
If you're interested in applying your AI/ML skills to real performance data and want to be part of a team shipping usable, production-ready models, I'd love to chat.
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