Machine Learning Engineer - Sports AI

Hawk-Eye Innovations (HEI); Basingstoke; Hybrid; GBP 55,000 - 70,000; Full time

Job summary

A sports technology company is searching for a Machine Learning Engineer to integrate ML features into their analysis products. The role requires strong Python and PyTorch skills, focusing on delivering real-time ML solutions. A hybrid work model is offered, requiring 2 days in the office. Applicants passionate about sports analytics and with a good grasp of containerized deployment, CI/CD processes, and collaborative environments will excel in this position.

Qualifications

• Experience with MLOps, CI/CD processes is a plus.
• Knowledge of PyTorch-Ignite is beneficial.
• Familiarity with TypeScript & Semantic UI React is advantageous.

Responsibilities

• Integrate cutting-edge ML features into analysis products.
• Design algorithms for actionable insights from ML outputs.
• Collaborate with product managers and engineers on data.
• Streamline ML operations and performance pipelines.

Skills

Strong Python programming fundamentals

PyTorch

Docker and containerised deployments

Linux & Windows 10 development experience

GIT, GitHub and collaborative software development

Tools

AWS (S3, SageMaker, Lambdas)

JIRA

Confluence

Job description

Location: 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!