Software Engineer

Hawk-Eye Innovations; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading sports technology company seeks a Principle Computer Vision Engineer on a freelance basis, focusing on developing real-time tracking systems across various sports. This role involves designing algorithms, coding in C++, and collaborating with engineering teams to enhance sports technology. The ideal candidate has a strong background in computer vision, proficiency in modern C++, and experience with performance optimisation. The position is fully remote, offering a pay rate of £500 to £600 per day.

Qualifications

• Strong background in computer vision fundamentals.
• Proficiency in C++14 or newer required.
• Experience with performance optimisation techniques.

Responsibilities

• Design and implement computer vision algorithms for real‑time tracking.
• Develop, test, and optimise C++ code for performance.
• Collaborate with cross‑functional teams on projects.

Skills

Computer vision fundamentals

C++14 or newer

Performance optimisation for CPU/GPU

Mathematical and analytical skills

OpenCV and numerical libraries

Version control systems

Tools

OpenCV

CUDA

Git

Job description

Principle Computer Vision Engineer (Contractor)

Pay Rate: £500 - £600 per day (Outside IR35)

Location: Fully Remote

About the Role

Join Hawk‑Eye Innovations (HEI) as a Principle Computer Vision Engineer on a freelance basis. This role focuses on developing real‑time skeletal, ball, and game object tracking systems across multiple sports. You'll work on advanced computer vision pipelines and mathematical models that power our world‑leading sports tracking technology.

Your work will contribute directly to live sporting events—solving complex, real‑world problems where accuracy and performance truly matter. You'll collaborate with engineers across teams to build, optimise, and deploy production‑grade systems that redefine how sport is seen and experienced.

Core Responsibilities

• 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.

Technical Skills & Experience

• 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.