A dynamic, high-growth AI start-up transforming sports science and analytics through cutting-edge technology, with substantial investor backing and years of innovation behind us, is looking for a Lead Computer Vision Engineer to join their team.
Responsibilities
Research and develop advanced computer vision models for sports analytics applications
Lead the transformation of prototypes into scalable, production-ready systems
Work closely with engineering, data science, and product teams to align technical solutions with business goals
Define product requirements and manage project timelines
Mentor junior engineers and foster a culture of innovation and technical excellence
Optimise model performance for real-time processing and deployment in resource-constrained environments
Qualifications
Advanced knowledge of deep learning with proficiency in at least two areas: Object Detection, Object Tracking, Semantic Segmentation, Pose Estimation, or Video Event Spotting
Expert-level skills in PyTorch and TensorFlow for building and deploying computer vision models
Strong Python programming abilities with experience using NumPy, OpenCV, or Sklearn
Hands-on experience with Docker for containerized development and deployment
Comfortable working in Linux environments with git proficiency
Proven cross-team collaboration skills bridging technical and non-technical stakeholders
Product management experience in defining requirements and delivering production-ready solutions
What’s in it for me
Salary of up to £100k
Lead cutting-edge computer vision projects at the intersection of AI and sports analytics
Be part of a fast-growing start-up with significant investor support
Enjoy remote work flexibility with quarterly in-person meetings in London
Shape the future of sports science with transformative technology that makes a real impact
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