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- Tasks: Develop and deploy innovative machine learning solutions for sports tracking.
- Company: Join Hawk-Eye Innovations, a leader in sports technology.
- Benefits: Enjoy competitive salary, flexible working, and wellness perks.
- Why this job: Make a real impact in sports tech while solving complex ML challenges.
- Qualifications: Degree in relevant field and experience in machine learning required.
- Other info: Collaborative culture with excellent growth opportunities and mentorship.
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, 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.
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 in London 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 in London
✨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 using Python and relevant libraries. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Hawk-Eye Innovations.
We think you need these skills to ace Machine Learning Engineer in London
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 the role.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love candidates who can think critically and creatively, so share examples of challenges you've tackled in the past.
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 on joining our team at Hawk-Eye!
How to prepare for a job interview at Hawk-Eye Innovations
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the libraries mentioned in the job description, like PyTorch and NumPy. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss 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 Their Culture
Familiarise yourself with Hawk-Eye's values of autonomy, collaboration, and continuous learning. Be ready to share examples of how you embody these values in your work and how you can contribute to their team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the technologies they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
