Machine Learning Engineer - Sports AI
HEILocation: One of our Basingstoke, Bristol, or London offices (Hybrid – 2 days in the office per week minimum)
Level: Mid-Senior
Team: Machine Learning
Salary: £55,000 - £70,000
Start Date: As soon as possible
Join Our Team as a Machine Learning Engineer at Hawk-Eye Innovations:
Hi, I’m Lachlan, Technology Lead for the HawkAI team. I’m excited to invite you to apply for the Machine Learning Engineer position in our R&D team at Hawk-Eye Innovations. If you're passionate about defining the future of sports analytics, this could be the ideal role for you.
As a Machine Learning Engineer, you'll be at the heart of our development lifecycle. You’ll work closely with product managers, data stakeholders, and engineers across Data and Machine Learning Teams.
What Your Week Could Look Like:
A typical week might include:
Integrating cutting-edge ML features into HawkAI analysis products
Running ML models on live streams of tracking data
Designing algorithms to turn ML outputs into actionable insights
Helping to develop and deploy machine learning models with a focus on real-time performance
Building cloud and containerised systems for deployment at scale
Developing CI/CD and production pipelines to maintain robust software practices
Collaborating with product managers and engineers
Working with data teams to collect, store, and curate training data
Streamlining ML operations and performance pipelines
Lead R&D initiatives and keep the team up to date with industry trends
Mentoring junior engineers and leading technical discussions
Owning solutions end-to-end, from design through to production
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.
If you're passionate about defining the future of sports analytics and excited to work with cutting-edge deep learning methods, this could be the ideal role for you. And then integrating deep learning models into HawkAI Analysis Products
Tech Stack and Skill Requirements:
Required:
Strong Python programming fundamentals
PyTorch
Docker and containerised deployments
Linux & Windows 10 development experience
GIT, GitHub and collaborative software development
Nice-to-Haves:
AWS (S3, SageMaker, Lambdas)
MLOps, CI/CD processes
PyTorch-Ignite
TypeScript & Semantic UI React
SSH and secure deployment workflows
Bonus Skills:
JIRA & Confluence
ClearML
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
Equal Opportunity Employer:
Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential.
Apply Today!
This is a fantastic opportunity to join Hawk-Eye Innovations and make a significant impact in the sports technology industry. If you’re excited about solving complex ML problems in real-time and seeing your work on the world’s biggest sporting stages, we’d love to hear from you!