Machine Learning Engineer

Hawk-Eye Innovations; Basingstoke; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

A leading sports technology company is looking for a Machine Learning Engineer to develop innovative tracking solutions for sports. You will collaborate with the Computer Vision team, focusing on Python-based ML models and cloud systems. The position offers a hybrid working model with competitive benefits, including 25 days of annual leave and enhanced pension scheme. If you're excited about tackling complex ML problems and making an impact in the sports industry, we want to hear from you!

Benefits

25 days annual leave

Enhanced pension scheme

Hybrid working model

Complimentary Unmind app

Access to sporting events

Qualifications

• Bachelor's or Master's degree in a relevant field is required.
• Previous experience in machine learning or computer vision.
• Strong programming skills in Python with relevant libraries.

Responsibilities

• Develop and deploy innovative ball and player tracking solutions.
• Design and build new ML models using Python.
• Maintain cloud and containerized systems for model training and deployment.

Skills

Python

Machine Learning

Computer Vision

Git

MLOps

Problem-solving

Education

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

Tools

PyTorch

NumPy

Jupyter

Pandas

Job description

Overview

Machine Learning Engineer

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

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!