
Hawk-Eye Innovations · All Offices
PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum ...
Value Stream: Innovation Hub
Location: Hybrid working – minimum 2 days per week in the office
Office: London, Basingstoke and Bristol
Contract: Permanent, Full-Time
Salary: £76,340 – £109,060 per annum
JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS
We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape
the next generation of sports tracking technology.
Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most
technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to
deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading
tracking technology used across global sport.
If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision
systems, we'd love to hear from you.
As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer
vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll
transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically
plausible, robust and production-ready.
You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges,
helping bring advanced tracking technology into a wider range of sporting environments.
mathematical and physical modelling of motion, projectiles and object interaction.
scenarios.
performance on edge devices.
the Computer Vision and applied modelling layer built on top of them.
providing technical guidance across complex engineering challenges.
production outputs.
significantly.
At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence.
As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside
highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that
continue to push the boundaries of sports technology.
We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact
through technical leadership and engineering excellence.
desirable.
modelling focused rather than Machine Learning research focused.
data platform teams.
To help set expectations, it's important to understand what this role focuses on:
delivering production-ready solutions rather than researching or training novel Machine Learning models.
data storage, transformation, APIs and wider platform services.
engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to
lead a squad or technical discipline, but direct line management is not a core responsibility.
We offer a comprehensive package to support your growth and well-being.
insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance
Program.
Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated
officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports
over 30,000 sporting events across more than 500 stadiums in 90 countries.
Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and
Machine Learning solutions that continue to redefine what's possible in sports technology.
As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that
is diverse, inclusive and representative of the communities we serve.
Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences.
We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide
a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed.
Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning
Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time
tracking, helping build the next generation of world-leading sports technology.
PRINCIPAL COMPUTER VISION ENGINEER – CRICKET Join Our Team at Hawk-Eye Innovations Value Stream: Tracking & Auto Officiating Salary: £76,340 – £109,060 per annum Location: Hybrid working – minimum 2 days per week in the office Office locations: London, Basingstoke and Bristol Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Principal Computer Vision Engineer to join our Cricket Solution Squad. This is a high-impact role focused on building a brand new cricket tracking system. You’ll play a key role in shaping the architecture, technical direction and delivery of a next-generation tracking platform used in live sports environments. We’re looking for someone who can operate at both a deep technical level and a system-wide level, bringing strong C++ expertise, computer vision knowledge and leadership capability to guide a small, high-performing team. A strong background in mathematics and modelling is encouraged. If you enjoy solving complex problems, influencing technical direction, and building scalable systems, I’d love to hear from you. ABOUT THE ROLE We’re looking for a Principal Computer Vision Engineer to take ownership of a new, production-grade cricket tracking system and help define how it is designed, built and scaled. This role goes beyond implementation. It’s about setting technical standards, shaping architecture, guiding a small squad, and ensuring systems are robust, scalable and production-ready. The role is strongly algorithm-focused, with an emphasis on accuracy, performance and system-level thinking, spanning modern C++, multi-camera geometry and real-time tracking systems. WHAT YOU’LL WORK ON * Leading the design and development of a brand new cricket tracking system * Owning tracking pipelines across the full system * Defining and evolving system architecture * Driving robustness, accuracy and performance in live sports environments * Working closely with stakeholders, including senior leadership, to align technical delivery with product goals * Supporting integration into broader tracking, broadcast and platform systems * Exploring future capabilities including AR and broadcast enhancements KEY RESPONSIBILITIES * Lead the development of computer vision systems from concept through to production * Set technical direction and standards across algorithmic and engineering approaches * Own system architecture and ensure long-term scalability, maintainability and quality * Guide and support a small squad (approx. 5–8 engineers), helping unblock and mentor team members * Translate business and product requirements into technical roadmaps and delivery plans * Drive architectural discussions around performance, scalability and deployment * Act as a technical escalation point for complex challenges * Collaborate closely with cross-functional teams and senior stakeholders SKILLS, KNOWLEDGE AND EXPERIENCE We’re looking for someone with: * Strong commercial experience developing computer vision algorithms in production environments * Deep knowledge of modern C++ within large and complex systems * Strong experience with 3D geometry, tracking and numerical optimisation * Proven experience designing systems or leading major architectural work * Ability to operate at both detailed algorithm level and high-level system design * Strong communication skills and ability to work with senior stakeholders * Experience mentoring or leading engineers within a team NICE TO HAVE (BUT NOT ESSENTIAL) * Experience with CUDA or GPU acceleration * Awareness of concurrency, networking or operating system concepts * Experience working with distributed or cloud-based systems * Exposure to machine learning techniques REWARD, BENEFITS AND WELLNESS UK BENEFITS * 25 days annual leave (excluding bank holidays) * Enhanced pension scheme with 5% matching * Hybrid working model * Complimentary Unmind wellbeing app * Onsite gym (Basingstoke) * Sony Group Company discounts HUNGARY BENEFITS * Annual leave in line with local labour law * Hybrid working model (2 days per week in the office) * Access to sporting events and tickets * Sony Group Company discounts Cafeteria benefits include: * SZÉP Card * Nursery & Kindergarten contributions * Annual MOL Bubi Pass * Private medical insurance * Life & accident insurance * MindentMent Dental Clinic discounts * Seniority awards * Employee Assistance Program EQUAL OPPORTUNITY AND INCLUSION 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.te, develop and succeed.
PRINCIPAL COMPUTER VISION ENGINEER - FOOTBALL VALUE STREAM - TRACKING & AUTO OFFICIATING Join Our Team at Hawk-Eye Innovations Location: Hybrid working – minimum 2 days per week in the office Office locations: Budapest, Hungary Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Principal Computer Vision Engineer to join our team. This is a high-impact role focused on leading the development of real-time skeletal, ball and game object tracking across multiple sports, including football. We’re looking for someone who can operate at both a deep technical level and a system-wide level, shaping how we design, build and scale our computer vision systems. A strong background in mathematics and modelling is encouraged. If you enjoy solving complex problems, influencing technical direction, and seeing your work operate in live environments, I’d love to hear from you. ABOUT THE ROLE We’re looking for a Principal Computer Vision Engineer to take ownership of complex, production-grade algorithmic systems and help drive the technical direction of our computer vision capabilities. This role goes beyond implementation. It’s about setting technical standards, shaping architecture, guiding teams, and ensuring systems are robust, scalable and production-ready. The role is strongly algorithm-focused, with an emphasis on accuracy, performance and system-level thinking, spanning modern C++, multi-camera geometry and distributed systems. WHAT YOU’LL WORK ON * Leading the design and evolution of ball and player tracking algorithms using multi-camera systems * Owning multi-view geometry solutions across entire tracking pipelines * Driving improvements in occlusion handling, recovery and system robustness in live sports environments * Overseeing mature computer vision systems used in real-time production * Guiding performance optimisation across CPU and GPU workloads * Ensuring consistency and reliability across cross-platform deployments * Supporting integration into cloud-enabled and distributed systems * Influencing how systems are designed, built and scaled across the organisation KEY RESPONSIBILITIES * Lead the development of computer vision systems from concept through to production at a system level * Set technical direction and standards across algorithmic and engineering approaches * Own critical components and ensure long-term maintainability, scalability and quality * Work closely with discipline leads and engineers across CV, tracking, tooling and platform teams * Drive architectural discussions around performance, scalability and deployment * Identify limitations in existing systems and lead pragmatic improvements * Mentor and support engineers through technical guidance, reviews and collaboration * Act as a technical escalation point for complex challenges SKILLS, KNOWLEDGE AND EXPERIENCE We’re looking for someone with: * Strong commercial experience developing computer vision algorithms in production environments * Deep knowledge of modern C++, working within large and complex codebases * Strong understanding of performance optimisation across CPU and GPU * Solid experience with image processing, geometry and multi-camera systems * Experience working on systems deployed in real-world production environments * Ability to operate at both detailed algorithm level and high-level system design * Strong debugging skills across complex systems * Experience influencing technical direction or leading technical initiatives NICE TO HAVE (BUT NOT ESSENTIAL) * Experience with CUDA or GPU acceleration * Awareness of concurrency, networking or operating system concepts * Experience working with cloud-based or distributed systems * Exposure to machine learning techniques REWARD, BENEFITS AND WELLNESS UK Benefits * 25 days annual leave (excluding bank holidays) * Enhanced pension scheme with 5% matching * Hybrid working model * Complimentary Unmind wellbeing app * Onsite gym (Basingstoke) * Sony Group Company discounts Hungary Benefits * Annual leave in line with local labour law * Hybrid working model (2 days per week in the office) * Access to sporting events and tickets * Sony Group Company discounts Cafeteria benefits include: * SZÉP Card * Nursery & Kindergarten contributions * Annual MOL Bubi Pass * Private medical insurance * Life & accident insurance * MindentMent Dental Clinic discounts * Seniority awards * Employee Assistance Program EQUAL OPPORTUNITY AND INCLUSION 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.
ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE LEVELS AND POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. WHAT YOU WILL DO * Own Research work-streams at a high-level to deliver outcomes. * Align priorities with problem stakeholders, internal and external. * Set the technical direction for the stream and apply judgement and taste to drive progress. * Plan roadmaps with clear milestones for key decisions and outcomes. * Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. * Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. * Contribute towards Research group strategy and culture. * Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives. * Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. * Nurture younger colleagues to grow their skillset and guide their professional development. * The below activities in particular. * Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. * Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques. * Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. * Collaborate with colleagues beyond the research team to translate your models into production-ready code. * Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences. WHAT YOU BRING TO THE TABLE * Ability to scope and effectively deliver projects. * Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. * Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills — with teams and customers alike. * PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: 1. operator learning (neural operators), or other probabilistic methods for PDEs; 2. geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data; 3. generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.). * Ideally, >4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in: * building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications; * developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); * iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; * combining theoretical reasoning with empirical intuition to guide investigation; * formulating and running experiment pipelines to benchmark models and produce comparable results; * writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience. * Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. WHAT WE OFFER Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.