Principal Computer Vision & Tracking Engineer

Catapult

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Opportunity to work with global teams
Collaborative environment for personal growth
Impact in the sports performance industry

Job summary

Catapult is looking for a Principal Computer Vision & Tracking Engineer in Greater London. This role involves leading the development of camera-based products, driving the computer vision and real-time tracking systems. The ideal candidate should have over 8 years of experience in software engineering, strong proficiency in Python/C++, and a background in ML or CV systems. Join a team dedicated to sports performance technology and work collaboratively to enhance athlete insights.

Qualifications

  • 8+ years of software engineering experience with significant depth in at least one of computer vision, real-time systems, ML/AI deployment, or robotics perception.
  • Strong proficiency in Python and C/C++ across the full stack from model training to performance-critical native code.
  • Demonstrated experience shipping ML or CV systems to production on resource-constrained or embedded platforms.

Responsibilities

  • Own the technical direction of the computer vision and tracking domain.
  • Lead and mentor a small team of engineers, setting priorities and driving execution.
  • Train, optimize, and deploy neural networks for real-time segmentation and classification.

Skills

Python
C/C++
Machine Learning
Computer Vision
Real-time systems
Robotics perception

Tools

Neural networks
Embedded Linux
Docker
AI accelerators

Job description

Catapult is looking for a Principal Computer Vision & Tracking Engineer in Greater London. This role involves leading the development of camera-based products, driving the computer vision and real-time tracking systems. The ideal candidate should have over 8 years of experience in software engineering, strong proficiency in Python/C++, and a background in ML or CV systems. Join a team dedicated to sports performance technology and work collaboratively to enhance athlete insights.
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