Senior Computer Vision Engineer – Freelance

October 16

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Logo of Hawk-Eye Innovations Ltd

Hawk-Eye Innovations Ltd

Sports • Technology • Media

Hawk-Eye Innovations Ltd. is a company that revolutionizes sports with cutting-edge technology. It provides precision tracking, immersive broadcast experiences, and flawless officiating to enhance fan engagement across the globe. Hawk-Eye covers 25 major sports and has facilitated over 100,000 event days in more than 100 countries, partnering with top leagues and federations such as the Premier League, MLB, NFL, NBA, FIFA, and many others. The company specializes in technologies like video replay, optical tracking, and data insights, making sports fairer, safer, and more engaging. It is a leader in sports technology, offering solutions like VAR, Goal Line Technology, Electronic Line Calling, and more, across football, tennis, rugby, basketball, cricket, ice hockey, and other sports. Hawk-Eye is headquartered in Basingstoke, UK, and operates globally with offices in Atlanta and Melbourne.

201 - 500 employees

Founded 2001

⚽ Sports

📱 Media

📋 Description

• Design and implement computer vision algorithms for real-time tracking across multiple sports. • Model behaviour from noisy inputs using robust mathematical and statistical methods. • Develop, test, and optimise C++ code for real-world performance and reliability. • Prototype and experiment with vision techniques using OpenCV, CUDA, and numerical libraries. • Build internal tools for visualisation and debugging of vision pipelines. • Collaborate with cross-functional teams to align on goals, requirements, and delivery.

🎯 Requirements

• Strong background in computer vision fundamentals (e.g. tracking, multi-view geometry). • Proficiency in C++14 or newer. • Experience with performance optimisation for CPU and/or GPU. • Strong mathematical and analytical skills for modelling real-world data. • Familiarity with OpenCV, Eigen, and other numerical or vision libraries. • Experience using Git or other version control systems in collaborative environments. • Nice to Have: • Experience with CUDA or GPU-based computation frameworks. • Exposure to sensor fusion, Kalman filters, or similar modelling techniques. • Familiarity with Python for prototyping or experimentation. • Experience in real-time or embedded systems. • Interest or experience in sports technology.

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