Job Search and Career Advice Platform

Enable job alerts via email!

Machine Learning Engineer - Sports AI

Hawk-Eye Innovations (HEI)

Bristol

Hybrid

GBP 39,000 - 48,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading sports technology company is seeking a Machine Learning Engineer for its R&D team to drive innovation in sports analytics. The role involves integrating advanced machine learning features and collaborating closely with cross-functional teams. Ideal candidates will have strong Python and PyTorch skills, experience with cloud technologies like AWS, and a passion for real-time sports applications. This position offers a hybrid work model, requiring two days in the office each week.

Qualifications

  • Experience with Python programming fundamentals.
  • Proficiency in using PyTorch for machine learning.
  • Familiarity with both Linux and Windows 10 development environments.

Responsibilities

  • Integrate cutting-edge ML features into HawkAI analysis products.
  • Run ML models on live streams of tracking data.
  • Design algorithms for actionable insights from ML outputs.

Skills

Python programming fundamentals
PyTorch
Linux & Windows 10 development experience
GIT, GitHub and collaborative software development

Tools

AWS (S3, SageMaker, Lambdas)
Docker and containerised deployments
Job description

Location: One of our Basingstoke, Bristol, or London offices (Hybrid – 2 days in the office per week minimum)

Team: Machine Learning

Salary: £39,500 - £48,000

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

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:

  • Python programming fundamentals
  • PyTorch
  • Linux & Windows 10 development experience
  • GIT, GitHub and collaborative software development

Nice‑to‑Haves:

  • AWS (S3, SageMaker, Lambdas)
  • MLOps, CI/CD processes
  • Docker and containerised deployments
  • 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!

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.