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

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

Company Name

Hawk-Eye Innovations Ltd

Job Title

Java Engineer - Football Squad

Job Description

**Job Title:** Java Engineer – Football Squad **Role Summary:** Design, develop, and maintain high‑performance, data‑intensive backend services for live football events. Work within an agile, cross‑functional team to deliver scalable solutions that power FIFA, UEFA, Serie‑A and other partners, using Java, Spring Boot, and AWS cloud technologies. **Expectations:** - Deliver production‑ready code from day one in a fast‑paced environment. - Own feature development, troubleshooting, and performance tuning. - Collaborate effectively with teammates and stakeholders to meet strict project deadlines. - Uphold system reliability, observability, and security standards. **Key Responsibilities:** - Build and optimize Java (Java 17+) microservices with Spring Boot. - Develop and manage football data pipelines and event‑driven processing. - Deploy, scale, and operate services on AWS (ECS, Lambda, S3, DynamoDB, etc.). - Implement messaging solutions using Kafka, Pulsar, RabbitMQ, SQS or similar. - Ensure high availability, low latency, and robust monitoring (Datadog, Prometheus, OpenTelemetry). - Participate in code reviews, agile ceremonies, and continuous improvement initiatives. **Required Skills:** - Strong Java development (Java 17+) and Spring Boot expertise. - Hands‑on experience with AWS cloud services. - Proficiency in event‑driven architectures and message queues (Kafka/Pulsar, RabbitMQ, SQS). - Knowledge of microservices, distributed systems, and performance optimization. - Familiarity with observability tools (logging, metrics, tracing). - Ability to work efficiently under tight deadlines and high‑traffic conditions. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Java SE) are a plus but not mandatory.

London, United kingdom

On site

20-02-2026