Machine Learning Engineer
Hawk-Eye Innovations is seeking a Senior Machine Learning Engineer to join their Computer Vision Engineering Department. This role involves managing the end-to-end pipeline for ML models used in real-time sports tracking solutions like SkeleTRACK, collaborating with product teams to innovate, and mentoring junior engineers. The ideal candidate will be a domain expert in ML, passionate about sports technology, and proficient in Python, PyTorch, and related libraries.
The Machine Learning team at Hawk-Eye Innovations sits within the Computer Vision Engineering Department. This department is responsible for delivering real-time, end-to-end solutions for tracking balls, players, and other relevant sports objects for sports officiating and data analytics. An example of their work is SkeleTRACK, a real-time ball and skeletal tracking product used in major US sports leagues and European football leagues. The Computer Vision and Machine Learning team are primarily responsible for building this technology and are now looking to expand and improve it for more sports and services, tackling more complex and challenging problems.
As a Machine Learning Engineer at Hawk-Eye Innovations, you will be part of an agile team managing the end-to-end pipeline for Machine Learning models. Your tasks will include:
You will collaborate closely with the product team to define requirements and develop innovative solutions for complex challenges in sports technology. You will solve significant problems, lead, and coach junior team members in brainstorming, research, and approach selection. The role involves working within a weekly Kanban cycle to deliver cutting-edge technology and supporting the configuration and deployment of global products.
Innovation in ball and player tracking solutions for sports officiating, broadcast video, coaching, and fan engagement is central to Hawk-Eye. Computer Vision and Machine Learning are core competencies of the Hawk-Eye Engineering team. As a Senior Engineer, you will be a key member of the team, developing into a domain expert and influencing the direction of development. Your responsibilities will include:
You can expect to work with:
Posted June 1, 2026