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# Senior Computer Vision Engineer

- **Company:** Catapult Sports
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Software Debugging, Linux on Embedded Systems, Python (Programming Language), Machine Learning, Software Engineering, Docker
- **Published:** August 12, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=73150a76b37d5796

## About the Role

* 4+ years of software engineering experience, with significant depth in the engineering of complex systems
 * Demonstrated experience shipping systems to production and end-to-end ownership of them
 * Strong proficiency in Python and C/C++ - you're comfortable across the full stack from higher level applications to performance-critical native code.
 * The ability to own ambiguous problems: scoping, prototyping, shipping, and measuring.

Nice to have - and what would make you exceptional:

 * Computer Vision and ML experience
 * Deeper knowledge of the mathematics behind tracking systems: 3D geometry, state estimation, filtering, optimization.
 * Experience with depth cameras (structured light, time-of-flight) and 3D perception.
 * Familiarity with embedded Linux, Docker on ARM, and systems-level debugging., * In 6 months time… You have shipped at least one meaningful improvement to detection or tracking quality, and you have a deep understanding of the tracking system and how we might extend it.

## Description

We are looking for a Senior Computer Vision & Tracking Engineer to drive the computer vision and real-time tracking systems at the heart of our camera-based products.

Based in London (hybrid), you will be part of a small team building the perception stack that turns vision data into athlete performance insights - from neural network inference on edge AI accelerators, to 3D object tracking, to the data science that validates and extends what our system can measure. Today, that means tracking barbell-based weightlifting with sub-rep precision; tomorrow it means general human movement.

This is a role for someone who thrives on breadth. In any given week, you might be optimizing a model for edge inference, designing a new movement analysis algorithm, or analyzing data to produce athlete profiles. You'll report to a Senior Director of Engineering and collaborate closely with our embedded platform and applications teams.

If you've built real-time perception systems that had to work reliably in the real world - on real hardware, with real constraints - this is your kind of problem., * Drive the technical direction of our computer vision and tracking domain: the full pipeline from sensor readings through computer vision, motion recognition, and metric calculation.

 * Train, optimize, and deploy neural networks for real-time segmentation and classification on embedded hardware, including model conversion and optimization for edge accelerators.
 * Extend our tracking and motion recognition pipeline to support new movements and types of analysis.
 * Own the reliability of the domain: analyze tracking accuracy, build quality metrics, and use data to drive improvements across the pipeline.


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