Sports Computer Vision Engineer - ML & Deployment

Sports Computer Vision Engineer - ML & Deployment

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
C

At a Glance

  • Tasks: Design and optimise computer vision solutions for elite athletes and coaches.
  • Company: Join Catapult, a leader in sports technology based in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative team environment with exciting projects and career advancement.
  • Why this job: Make a real impact in sports analytics and work with cutting-edge technology.
  • Qualifications: Experience in computer vision, machine learning, and Python development.

The predicted salary is between 63000 - 77000 Β£ per year.

Catapult is seeking a passionate Computer Vision Engineer to join our London data science team.

You will own features from product brief to production, translating requirements into robust CV solutions that power analytics for elite athletes and coaches.

In this role you will design, train and optimize deep networks, build containerised Python microservices, and collaborate across disciplines to deliver production-ready artifacts that scale across platforms.

#J-18808-Ljbffr

Sports Computer Vision Engineer - ML & Deployment employer: Catapult Sports

Catapult Sports is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to mentorship opportunities and the chance to lead impactful projects within the exciting world of motorsport technology. Join us to be part of a passionate team dedicated to pushing the boundaries of performance analysis and enhancing the RaceWatch product suite.

C

Contact Details:

Catapult Sports Recruitment Team

We think you need these skills to ace Sports Computer Vision Engineer - ML & Deployment

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Automation
Attention to Detail