Jobs at Catapult

Design, build, test, maintain, and document software features for elite motorsport applications. The role involves implementing efficient applications, fixing bugs, supporting technical inquiries, providing progress updates, and collaborating with product and engineering leaders. Over time, the engineer will develop a motorsport software specialty and contribute new insights and solutions.

Build and improve the Perch camera system across platform, perception, and ML systems. Design tracking, segmentation, and motion-recognition algorithms; train and deploy ML models to edge devices; develop reliable customer-facing services; analyze production data; and optimize inference performance. The role requires hands-on Python and C++ development, strong backend engineering, distributed or data-intensive systems experience, and exposure to computer vision, ML infrastructure, signal processing, or real-time systems.

Develop and maintain Catapult’s RaceWatch motorsport software for racing series. Responsibilities include designing features with product managers and customers, building reliable and reusable code, improving software quality and reliability, supporting the full product lifecycle, and contributing to innovative capabilities. The role is based in London three days per week and includes rotational weekend coverage for live motorsport events.

Leads People & Culture strategy across the EMEA region, partnering with senior leaders on workforce planning, organizational design, change management, talent development, employee experience, and culture. Manages a regional team, supports operations across three offices and 16 countries, and drives initiatives spanning learning, DEI, reward, talent acquisition, and leadership development. Uses workforce data and insights to improve engagement, retention, business performance, and consistency across regional people processes.

Lead the design, automation, security, and operation of Catapult’s global cloud and hybrid infrastructure. Own AWS platform engineering, Terraform or Ansible IaC, CI/CD pipelines, observability, reliability, compliance, and AppSec integration. Define the platform architecture roadmap, establish reusable engineering standards, and influence engineering, security, and finance stakeholders while delivering scalable, secure infrastructure for sports performance data and video services.

Design, build, test, deploy, and maintain backend services and frontend experiences for a football analytics platform. Own features from architecture through production operation, contribute to API and distributed-system design, participate in code reviews and engineering processes, improve code quality and architecture, and collaborate with Product and engineering teams to deliver reliable software.

Design, train, and deploy computer vision models and classical CV pipelines from raw video ingestion to production inference. Build geometric vision solutions (camera calibration, homography), optimize inference (TensorRT/ONNX Runtime), containerize Python microservices (Docker), support cross-platform desktop integration via ONNX Runtime C++ APIs, and develop automated data-curation pipelines to version and pre-label high-throughput datasets.