Role overview
*Machine Learning Engineer
Salary Banding*: Between £40,000 and £55,000 per annum
**Contract: Full-Time, Permanent
**Working Location: Hybrid, 2 Days a week in the office, minimum
**Office Locations*: Basingstoke, London, Bristol
Join Our Team as a Machine Learning Engineer at Hawk-Eye Innovations
Hawk-Eye Innovations is a leading sports technology company that delivers real-time, end-to-end solutions for tracking balls, players, and other relevant sports objects. Our products are used for sports officiating and data analytics purposes, including SkeleTRACK, a real-time ball and skeletal tracking technology deployed in major US sports leagues and European football leagues.
As a Machine Learning Engineer at Hawk-Eye Innovations, you will be part of an agile team responsible for the end-to-end pipeline of our machine learning models. You will work closely with our Computer Vision Engineering team to innovate and build incredible ball and player tracking solutions for sports officiating, broadcast video, coaching, and fan engagement. Your role will involve designing and building new ML models, and maintaining modern architecture and design practices.
What you'll work on
- Work closely with our Computer Vision Engineering team to develop and deploy innovative ball and player tracking solutions
- Design and build new ML models, both real-time and otherwise, using Python and relevant libraries such as Pytorch, Pytorch-ignite, Numpy, Jupyter, and Pandas
- Maintain strong relationships within the machine learning team and communicate effectively with both the engineering and product teams
- Use cloud and containerised systems for model training, testing and deployment
- Develop and maintain MLOps and CI/CD pipelines
What we're looking for
- Experience with modern C++ (C++17/20), CUDA, TensorRT, ClearML, CMake & Visual Studio, OpenCV, Typescript & Semantic UI React