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Machine Learning Engineer

Hawk-Eye Innovations

Bristol

Hybrid

GBP 40,000 - 55,000

Full time

Today
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Job summary

A leading sports technology company in the UK seeks a Machine Learning Engineer to join their agile team. This role involves designing and building machine learning models for advanced tracking of sports activities. Candidates should have strong programming skills in Python, familiarity with tools like Pytorch, and experience in machine learning or computer vision. The position offers a hybrid work model and various benefits, including a competitive salary, annual leave, and wellness programs.

Benefits

Annual Leave: 25 days + 8 public holidays
Enhanced Pension Scheme: 5% matching
Flexible Working: Hybrid model
Complimentary Unmind app and onsite gym
Access to sporting events and Sony Group Company discounts

Qualifications

  • Bachelor's or Master's degree in relevant fields.
  • Previous experience in machine learning or computer vision.
  • Strong programming skills in Python and relevant libraries.

Responsibilities

  • Develop and deploy innovative ball and player tracking solutions.
  • Design and build new ML models using Python.
  • Maintain strong relationships within the team and communicate effectively.

Skills

Strong programming skills in Python
Experience with Pytorch
Knowledge of Git
Problem-solving skills
Ability to work in an agile environment

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields

Tools

Python
Pytorch
Numpy
Jupyter
Pandas
Job description

Salary Banding: Between £40,000 and £55,000 per annum

Contract: Full-Time, Permanent

Working Location: Hybrid, 2 Days a week in the office, minimum

Office Locations: Basingstoke, London, Bristol

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

Hawk-Eye Innovations is a leading sports technology company that delivers real-time, end-to-end solutions for tracking balls, players, and other relevant sports objects. Our products are used for sports officiating and data analytics purposes, including SkeleTRACK, a real-time ball and skeletal tracking technology deployed in major US sports leagues and European football leagues.

As a Machine Learning Engineer at Hawk-Eye Innovations, you will be part of an agile team responsible for the end-to-end pipeline of our machine learning models. You will work closely with our Computer Vision Engineering team to innovate and build incredible ball and player tracking solutions for sports officiating, broadcast video, coaching, and fan engagement. Your role will involve designing and building new ML models, and maintaining modern architecture and design practices.

Key Responsibilities
  • Work closely with our Computer Vision Engineering team to develop and deploy innovative ball and player tracking solutions
  • Design and build new ML models, both real-time and otherwise, using Python and relevant libraries such as Pytorch, Pytorch-ignite, Numpy, Jupyter, and Pandas
  • Maintain strong relationships within the machine learning team and communicate effectively with both the engineering and product teams
  • Use cloud and containerised systems for model training, testing and deployment
  • Develop and maintain MLOps and CI/CD pipelines
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields
  • Previous experience in machine learning, computer vision, or related fields
  • Strong programming skills in Python and experience with relevant libraries such as Pytorch, Pytorch-ignite, Numpy, Pandas and Matplotlib
  • Strong knowledge of Git
  • Strong problem-solving skills and ability to work in an agile environment
  • Good communication skills and ability to work collaboratively with cross-functional teams
Nice to Haves
  • Experience with modern C++ (C++17/20), CUDA, TensorRT, ClearML, CMake & Visual Studio, OpenCV, Typescript & Semantic UI React
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
Reward, Benefits, And Wellness
  • Annual Leave: 25 days + 8 public holidays
  • Enhanced Pension Scheme: 5% matching
  • Flexible Working: Hybrid model (2 days in the office per week)
  • Wellness: Complimentary Unmind app, onsite gym (Basingstoke)
  • Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts
Equality and Opportunity

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!

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