Lead Computer Vision Engineer

Understanding Recruitment

London, UK

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£100,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Computer Vision Python (Programming Language) Linux System Administration NumPy Object Detection OpenCV Tensorflow Real Time Systems Pytorch Deep Learning Git Scikit Learn

+1 more

Docker

Job description

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

Requirements

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

Benefits & conditions

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