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A leading sports technology company is seeking a Machine Learning Engineer for its R&D team to drive innovation in sports analytics. The role involves integrating advanced machine learning features and collaborating closely with cross-functional teams. Ideal candidates will have strong Python and PyTorch skills, experience with cloud technologies like AWS, and a passion for real-time sports applications. This position offers a hybrid work model, requiring two days in the office each week.
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
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.
A typical week might include:
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
Required:
Nice‑to‑Haves:
Bonus Skills:
At Hawk‑Eye, our culture is built on openness, collaboration, and technical excellence. Here’s what we value in our team members:
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.
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!