Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy innovative machine learning solutions for sports tracking.
- Company: Join Hawk-Eye Innovations, a leader in sports technology.
- Benefits: Enjoy 25 days annual leave, flexible working, and exclusive perks.
- Why this job: Make a real impact in sports tech while solving complex ML challenges.
- Qualifications: Degree in Computer Science or related field; strong Python skills required.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
The predicted salary is between 40000 - 55000 £ per year.
Salary Banding: Between £40,000 and £55,000 per annum
Contract: Full-Time, Permanent
Working Location: Hybrid, 2 Days a week in the office
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.
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
- 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!
Machine Learning Engineer employer: Hawk-Eye Innovations
Contact Detail:
Hawk-Eye Innovations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Hawk-Eye Innovations. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and relevant libraries. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios related to ball and player tracking solutions. Practice coding challenges and be confident in discussing your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Hawk-Eye team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML models, and any relevant projects you've worked on. We want to see how your skills align with what we do at Hawk-Eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for sports technology and how you can contribute to our team. Be sure to mention specific technologies or projects that excite you about this role.
Showcase Your Problem-Solving Skills: In your application, don’t forget to include examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and creatively, especially in an agile environment like ours.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Hawk-Eye Innovations
✨Know Your Tech
Make sure you brush up on your Python skills and the libraries mentioned in the job description, like PyTorch and NumPy. Be ready to discuss your previous projects and how you've used these tools to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in machine learning or computer vision. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company Culture
Familiarise yourself with Hawk-Eye Innovations' values, such as collaboration and continuous learning. Think of examples from your past experiences that demonstrate how you embody these values and can contribute to their team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and ongoing projects. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
