At a Glance
- Tasks: Develop and integrate cutting-edge ML features for sports analytics.
- Company: Join Hawk-Eye Innovations, a leader in sports technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture focused on mentorship and continuous learning.
- Why this job: Make a real impact in sports tech while working with innovative ML methods.
- Qualifications: Strong Python skills and experience with ML frameworks like PyTorch.
The predicted salary is between 47000 - 63000 £ per year.
Location: One of our Basingstoke, Bristol, or London offices (Hybrid – 2 days in the office per week minimum)
Team: Machine Learning
Salary: £39,500 - £48,000
Start Date: As soon as possible
Join Our Team as a Machine Learning Engineer at Hawk-Eye Innovations:
Hi, I’m Lachlan, Technology Lead for the HawkAI team. I’m excited to invite you to apply for the Machine Learning Engineer position in our R&D team at Hawk-Eye Innovations. If you\'re passionate about defining the future of sports analytics, this could be the ideal role for you.
As a Machine Learning Engineer, you\'ll be at the heart of our development lifecycle. You’ll work closely with product managers, data stakeholders, and engineers across Data and Machine Learning Teams.
What Your Week Could Look Like:
A typical week might include:
- Integrating cutting‑edge ML features into HawkAI analysis products
- Running ML models on live streams of tracking data
- Designing algorithms to turn ML outputs into actionable insights
- Helping to develop and deploy machine learning models with a focus on real‑time performance
- Building cloud and containerised systems for deployment at scale
- Developing CI/CD and production pipelines to maintain robust software practices
- Collaborating with product managers and engineers
- Working with data teams to collect, store, and curate training data
- Streamlining ML operations and performance pipelines
If you\'re passionate about defining the future of sports analytics and excited to work with cutting‑edge deep learning methods, this could be the ideal role for you. And then integrating deep learning models into HawkAI Analysis Products
Tech Stack and Skill Requirements:
Required:
- Python programming fundamentals
- PyTorch
- Linux & Windows 10 development experience
- GIT, GitHub and collaborative software development
Nice‑to‑Haves:
- AWS (S3, SageMaker, Lambdas)
- MLOps, CI/CD processes
- Docker and containerised deployments
- PyTorch‑Ignite
- TypeScript & Semantic UI React
- SSH and secure deployment workflows
Bonus Skills:
- JIRA & Confluence
- ClearML
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
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 - Sports AI in Bristol employer: Hawk-Eye Innovations Ltd
Hawk-Eye Innovations is an exceptional employer that fosters a culture of openness, collaboration, and technical excellence. With a focus on continuous learning and mentorship, employees are empowered to take ownership of their work while contributing to groundbreaking advancements in sports analytics. Located in vibrant cities like Basingstoke, Bristol, and London, the hybrid work model allows for flexibility, ensuring a balanced work-life experience while being part of a dynamic team at the forefront of technology.
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We think you need these skills to ace Machine Learning Engineer - Sports AI in Bristol
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