Senior Computer Vision / Machine Learning Engineer, Hawk-Eye Innovations
£76.3-109.1k
Sports officiating & broadcast technology
Be an early applicant
Sports officiating & broadcast technology
1001+ employees
Be an early applicant
£76.3-109.1k
1001+ employees
Company mission
To deliver best-in-class officiating, broadcast, and digital solutions to the sports world.
Role
Who you are
- Strong applied computer vision experience, with solid grounding in mathematical and physical modelling - trajectory estimation, motion reconstruction, projectile physics, or comparable 2D-to-3D reconstruction problems
- C++ required; Python experience is a plus for prototyping and tooling
- Working knowledge of ML techniques, with genuine interest in contributing to model improvement conversations and proposing R&D-adjacent ideas - core training and validation sit elsewhere
- Practical experience with model deployment and optimisation tooling (e.g. TensorRT, ONNX, quantisation, pruning, bottleneck profiling) for embedded or resource-constrained environments
- Experience with camera-based data sources, tracking pipelines, or spatial/temporal data
- Comfortable with ambiguity - this is a build-phase product with evolving scope
- Strong communication skills - able to work with data platform, backend, and frontend engineers on data contracts and outputs, and to explain complex problems and solutions clearly to others
What the job involves
- You'll own the CV and physical-modelling layer within DemTech's tracking pipeline - working on top of ML-provided detection models to produce trajectory and positional outputs (e.g. trajectory estimation, motion reconstruction, 2D-to-3D reconstruction problems)
- This role exists because tracking data is only as useful as the reconstruction layer that sits between detection and the outputs people actually rely on - dashboards, officiating decisions, performance insight. You'll own that layer within a small, fast-moving sports technology product team, working with real-world data
- You'll also be expected to work within DemTech's AI-first ways of working - using AI-delegated and AI-augmented development practices as a normal part of how you build, not as a separate initiative layered on top
- Own the day-to-day delivery of the 2D-to-3D reconstruction pipeline - converting raw detections into positional and trajectory outputs using physics-based modelling (trajectory estimation, motion reconstruction, projectile physics), operating with autonomy within agreed direction
- Work directly with the ML discipline team on model performance - proposing and prototyping improvements where applied CV work surfaces opportunities, rather than only consuming their output. Strong performers here are expected to shape R&D-adjacent proposals, not just execute them
- Hold a genuine voice in technical decisions on algorithm design and data pipeline structure - contribute to architectural milestones and offer insight on peers' work, including alternative solutions and design tradeoffs
- Own the accuracy and reliability of tracking outputs across variable, real-world deployment conditions
- Support optimisation and deployment of models onto embedded, resource-constrained hardware, using deployment techniques such as TensorRT, ONNX, quantisation, pruning, and bottleneck profiling
- Use AI-delegated and AI-augmented development practices as a standard part of the role
Salary benchmarks
Our take
Hawk-Eye Innovations, part of Sony, delivers technology that enhances fairness, safety, and excitement for thousands of sporting events worldwide. As a leader in vision processing, Hawk-Eye provides solutions for officiating, video management, production, broadcasting, and digital experiences, helping teams, officials, and fans enjoy sports more effectively.
With a long list of clients, including Adidas, Fox Sports, and Nascar, Hawk-Eye has firmly established itself as a cornerstone of sports innovation. The company is constantly pushing boundaries, and is often called upon to create bespoke solutions tailored to the unique needs of sports leagues and broadcasters.
More recently, Hawk-Eye has continued to expand its use of automated officiating systems, particularly in tennis and football, where line-calling and offside decisions are increasingly driven by real-time tracking and AI-assisted analysis. These systems not only improve accuracy but also speed up decision-making, reducing disruption to gameplay. As leagues look to balance fairness with flow, hawk-Eye's technology is becoming an integral part of how modern sports is governed.
Steph
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Flexible & Remote Working
- Generous Annual Leave
- Company Reward Schemes
- Health & Wellness Activities
- Onsite Gym
- Free Access to Unmind App
- Sony Discounts
- Pension Scheme
Company HQ
Basingstoke, UK
Leadership
Rufus Hack
(CEO)Rufus joined Hawk-Eye in 2021 as CEO. Prior to this, he worked at the European Tour for 6 years as the Head of Strategy, Chief Content Officer, and COO.
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