Hawk-Eye Innovations Ltd

About the Company

We are a group of inventors, mathematicians, developers, technical gurus, production experts, and above all sports fans who develop and deliver the most sophisticated officiating, production, tracking and analytics tools in sport.

Beginning with tennis and cricket in 2001, we continue to diversify and grow into new sports and new applications, making sports fairer, safer, more engaging, and better informed. The world’s biggest sporting events trust Hawk-Eye to make the right call, when it matters most.

Hawk-Eye Innovations form a key part of the Sony Sports Innovations Group with a shared mission to deliver best-in-class officiating, broadcast, and digital solutions to the sports world.

We are always on the hunt for new talent! We want people who are going to embrace entrepreneurialism, come up with great ideas, and most importantly be passionate about what they do.

Listed Jobs

Company Name

Hawk-Eye Innovations Ltd

Job Title

Student Placement: Football Systems Operator 2026/27

Job Description

**Job Title** Student Placement: Football Systems Operator 2026/27 **Role Summary** Full‑time, 12‑month placement operating and installing Hawk‑Eye technology for Premier League and Championship football matches. Operates on‑site at UK stadiums, performs pre‑match checks, monitors live operations, resolves technical issues, and supports research & development of new products. **Expectations** - Current university student, studying toward an undergraduate degree (engineering, physics, IT, sports technology or related). - Technical grounding and strong problem‑solving skills. - Excellent professional communication with broadcasters, officials, and teams. - Team‑player with willingness to learn and adapt. - Flexible, able to travel domestically, across Europe and overseas regularly. - Able to work weekends, mid‑week evenings, and under high‑pressure live broadcast conditions. **Key Responsibilities** - Install and set up Hawk‑Eye systems (cameras, rigs, cabling) at stadiums prior to matches. - Conduct pre‑match technical checks and ensure regulatory compliance. - Monitor and operate systems during live matches, providing rapid technical support. - Liaise with broadcast partners, match officials, and club staff to meet contractual obligations. - Maintain and service equipment, ensuring readiness for deployment. - Drive company vehicles to transfer systems between venues. - Participate in research & development of new services and technologies. - Represent the company professionally and uphold brand standards. **Required Skills** - Technical proficiency with audio/visual or sports technology systems. - Strong analytical and troubleshooting abilities. - Clear verbal and written communication in English. - Collaborative mindset with effective teamwork across cross‑functional groups. - Adaptability to variable schedules, travel, and fast‑paced environments. - Demonstrated passion for innovation within the sports entertainment sector. **Required Education & Certifications** - Currently enrolled in an undergraduate program (any relevant field). - No mandatory certifications; on‑the‑job technical training will be provided. ---

Basingstoke, United kingdom

Hybrid

25-11-2025

Company Name

Hawk-Eye Innovations Ltd

Job Title

Software Engineering Graduate Scheme 2026

Job Description

Job Title: Software Engineering Graduate Scheme 2026 Role Summary: Two‑year graduate programme that immerses new engineers in sports technology development across disciplines such as C++, Java, Python, Frontend, Computer Vision, Machine Learning, QA, and DevOps. Work agilely on existing and new products used in global sports events. Expectations: - Complete all required in‑person and online training modules. - Deliver code in two‑week sprints, maintaining high quality and timely deployment. - Collaborate closely with product and customer teams to translate requirements into technical solutions. - Pursue knowledge growth, attending regular hack days and internal talks. Key Responsibilities: - Design, code, test, and deploy software components for real‑time tracking, data streaming, video replays, and graphics enhancements. - Participate in two‑week agile sprints, including sprint planning, daily stand‑ups, reviews, and retrospectives. - Write clean, maintainable code and contribute to architectural discussions within assigned discipline. - Perform automated and manual testing, ensuring reliability and performance for high‑profile events. - Engage with cross‑functional teams (product, operations, QA) to finalize feature delivery. - Optionally rotate into operations or secondment roles to broaden skillsets. Required Skills: - Proficient programming in C++, Java, or Python; familiarity with web technologies and cloud platforms is a plus. - Understanding of agile development practices (Scrum/Scrum‑like). - Strong analytical and problem‑solving abilities. - Effective written and verbal communication skills. - Demonstrated ability to work collaboratively in interdisciplinary teams. - Continuous learning mindset and passion for sports or technology innovation. Required Education & Certifications: - BSc (or equivalent) in Computer Science, Engineering, or related discipline, with a minimum 2:1 classification. - No specific professional certifications required; relevant technical coursework or project experience is beneficial.

London, United kingdom

On site

Junior

28-11-2025

Company Name

Hawk-Eye Innovations Ltd

Job Title

Machine Learning Engineer - Sports AI

Job Description

Job title: Machine Learning Engineer – Sports AI Role Summary: Design, develop, and deploy real‑time machine learning models for sports analytics products. Collaborate with product managers, data engineers, and other ML engineers to build scalable, cloud‑native solutions that transform live tracking data into actionable insights. Expactations: Deliver end‑to‑end ML pipelines from data ingestion to production deployment with high reliability and low latency. Own code quality, maintainability, and performance. Collaborate cross‑functionally, provide mentorship to junior team members, and contribute to continuous improvement of engineering practices. Key Responsibilities: - Build and fine‑tune PyTorch models for live sports tracking data. - Design algorithms that translate model outputs into real‑time insights for HAWKAI analysis products. - Package models into Docker containers and deploy to cloud environments (AWS SageMaker, Lambda, or equivalent). - Implement and maintain CI/CD pipelines to automate testing, packaging, and release. - Work with data teams to curate, store, and prepare training datasets. - Monitor model performance in production, conduct A/B testing, and iterate on models. - Collaborate with product managers to define feature requirements and deliver on schedule. Required Skills: - Strong Python programming fundamentals. - Proficiency with PyTorch for deep learning model development. - Experience developing on Linux (Ubuntu) and Windows 10. - Version control using Git/GitHub and collaborative code‑review workflows. - Basic familiarity with Docker containers and cloud deployment. Nice-to-Have Skills: - AWS services (S3, SageMaker, Lambda). - MLOps tooling (ClearML, MLflow, or similar). - CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI). - Docker‑compose or Kubernetes concepts. - TypeScript/React for front‑end integration. - SSH and secure deployment practices. Required Education & Certifications: - Bachelor’s (or Master’s) degree in Computer Science, Engineering, Data Science, or a related field. - Demonstrated experience (1+ years) in ML engineering or software engineering with a strong emphasis on deep learning. - Relevant certifications (e.g., AWS Certified Developer, TensorFlow Developer) are advantageous but not mandatory.

Basingstoke, United kingdom

On site

08-12-2025

Company Name

Hawk-Eye Innovations Ltd

Job Title

Machine Learning Engineer

Job Description

**Job Title:** Machine Learning Engineer **Role Summary:** Develop, deploy, and maintain machine‑learning models for real‑time ball and player tracking in the sports analytics sector. Collaborate with computer‑vision engineers to design end‑to‑end pipelines, from data ingestion to deployment, ensuring scalable, high‑performance solutions in a cloud‑native environment. **Expectations:** - Deliver robust ML models that support live officiating, broadcasting, and fan‑engagement applications. - Own the full model lifecycle: experimentation, training, testing, and production deployment. - Maintain and enhance MLOps pipelines and CI/CD workflows. - Communicate progress and insights to cross‑functional teams, ensuring alignment with product goals. **Key Responsibilities:** - Design and implement real‑time and batch ML models using Python, PyTorch, NumPy, Pandas, and Jupyter notebooks. - Integrate models into cloud and containerised environments for scalable training and inference. - Build and maintain CI/CD and MLOps pipelines (e.g., Git, Docker, Kubernetes, ClearML). - Collaborate with computer‑vision engineers to optimize feature extraction and tracking algorithms. - Conduct model validation, performance monitoring, and iterative improvement cycles. - Document model specifications, training procedures, and deployment steps. **Required Skills:** - Strong Python programming with experience in PyTorch, PyTorch‑Ignite, NumPy, Pandas, and Matplotlib. - Proficiency with Git version control and agile development practices. - Experience building MLOps/CI‑CD pipelines and deploying models to cloud platforms. - Solid problem‑solving abilities and independent accountability. - Effective communication and teamwork across engineering and product stakeholders. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field. ---

London, United kingdom

On site

19-01-2026