Job Description
Senior Applied Researcher / Data Scientist – Computer Vision
* Paying up to £110k + 7.5% Bonus + $10,000 Shares (Yearly)
* London office – remote first policy but ideally 1 day a week.
* Leading SportsTech Business
I am working with a global leader in sports technology that’s redefining how coaches, athletes, and fans experience the game. From grassroots to elite professional teams, this company’s products empower users to capture, analyse, and share video and data to improve performance and create deeper engagement.
They have recently been recognised as one of the most loved workplaces, this company is known for its collaborative culture, cutting-edge technology, and mission-driven impact on the world of sport.
The Opportunity:
They are now looking for a Senior Applied Researcher / Data Scientist to join a high-performing Machine Learning team that’s building AI solutions at scale for real-world applications in sports. You'll apply state-of-the-art techniques in computer vision and deep learning to solve complex challenges, deliver meaningful insights, and shape the next generation of sports technology.
What You’ll Do:
* Design, build, and deploy scalable ML systems used in live sports scenarios across 40+ sports and thousands of events globally.
* Collaborate closely with engineers and data scientists to develop end-to-end solutions that deliver real value to users.
Technical Requirements:
* Strong experience in computer vision and machine learning, especially in areas like:
* Multi-object tracking
* Event detection
* Multi-view geometry
* Deep learning-based video analysis
* Proven experience bringing ML products from concept to production at scale.
* Excellent communication skills with the ability to explain technical concepts clearly to cross-functional teams.
* Have experience leading projects from a technical perspective.
If this position sounds of interest and you feel you match some of the requirements, then apply through this AD to find out more.
Senior Applied Researcher / Data Scientist – Computer Vision