At a Glance
- Tasks: Design and build innovative machine learning models for sports tracking solutions.
- 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 working with cutting-edge ML technologies.
- Qualifications: Degree in Computer Science or related field; experience in machine learning required.
- Other info: Collaborative culture with excellent growth opportunities and access to exclusive sporting events.
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.
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
- 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 Basingstoke 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 Basingstoke
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Practice common ML interview questions and think about how you can relate your experience to the role at Hawk-Eye Innovations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 Basingstoke
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, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports technology and how your background makes you a great fit for our team. Let us know what excites you about the role at Hawk-Eye Innovations.
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical applications of your skills. Include links if possible!
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’s super easy – just follow the prompts!
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 projects. 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. 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 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.