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We’re looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations.
This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments.
The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.
We’re looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations.
This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments.
The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.
Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios
Enhancing and maintaining mature, long-running computer vision systems used in live production
Optimising algorithms for performance and reliability, including CPU and GPU considerations
Contributing to cross-platform systems, ensuring algorithms run consistently across environments
Supporting the integration of algorithms into cloud-enabled and distributed systems
Working in an agile environment to deliver robust, production-ready solutions at scale
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Strong commercial experience developing computer vision algorithms
Advanced knowledge of modern C++, working within large, production codebases
Strong understanding of performance optimisation, including CPU and GPU workloads
Solid experience with image processing, geometry, and multi-camera systems
Experience working with cross-platform systems and real-world deployment environments
Familiarity integrating algorithmic components into cloud-based or distributed systems
Strong debugging skills and the ability to reason about complex system behaviour
Confident use of Git and Visual Studio in collaborative engineering environments
Experience with CUDA or GPU acceleration
Awareness of concurrency, networking, or operating system concepts
Experience deploying or supporting algorithms in cloud environments
Interest in machine learning techniques and related libraries
As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a diverse and inclusive workforce.
We employ, retain, promote, and treat all employees and applicants fairly, based on skills, qualifications, and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop, and succeed.
Verified company details for this employer are not available yet.
GBP 65440-87260 yearly / year
Full-time
Senior
Hybrid
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