Senior Machine Learning Engineer

Job Overview

Join Our Team as a Senior Machine Learning Engineer at Hawk-Eye Innovations

Hi, I’m Mat Richards, Director of the tracking and auto officiating value stream at Hawk-Eye Innovations. We're on a mission to revolutionise sports technology, delivering real-time ball, player, and skeletal tracking solutions that power everything from officiating to fan engagement.

Our Machine Learning team plays a vital role in building game-changing systems like SkeleTRACK, which is already trusted by top-tier US sports leagues and European football clubs. As we push into new sports and services, we're looking for a passionate Senior Machine Learning Engineer who’s ready to lead from the front, drive innovation, and help elevate our technology to the next level.

Key Responsibilities

• Designing and developing new machine learning models with a focus on real-time performance.


• Integrating cutting-edge ML features into our SkeleTRACK product.


• Analysing model performance and identifying areas of improvement.


• Mentoring junior engineers and driving technical discussions.


• Collaborating with annotation teams to ensure data quality and workflow efficiency.


• Staying ahead of the curve by keeping up with CV/ML research and attending top conferences.


• Proactively identifying problems and owning solutions from design to delivery.

Required Qualifications

This is a role that demands both depth and breadth—you’ll be expected to ship clean, well-structured code, and contribute meaningfully to architectural decisions.

What We Value

At Hawk-Eye, our culture is built on openness, collaboration, and technical excellence. Here’s what we value in our team members:

• Autonomy & Accountability – We trust our engineers to own their work and deliver impact.


• Mentorship & Leadership – As a senior team member, you’ll lead by example and uplift others.


• Pragmatism – We’re creative and experimental, but always grounded in real-world application.


• Continuous Learning – From peer code reviews to hack days and conferences, we never stop growing.


• Collaboration – We work cross-functionally and communicate with transparency and empathy.

Tech Stack and Skill Requirements

We work at the cutting edge of ML and sports tech. You’ll ideally bring expertise in:

Must-Haves:

• Python (strong programming fundamentals)


• PyTorch and PyTorch-Ignite


• Linux & Windows 10 experience


• TensorRT for model optimisation


• GIT and collaborative software development

Nice-to-Haves:

• Modern C++ (C++17/20)


• CUDA


• OpenCV


• ClearML


• CMake & Visual Studio


• Typescript & Semantic UI React


• SSH and secure deployment workflows

Bonus Skills:

• QT, JIRA, and Confluence


• TeamCity for CI/CD

Benefits

• Annual leave in line with local labour law


• Hybrid working model (2 days per week in the office)


• Access to sporting events and tickets


• Sony Group Company discounts