Lead Computer Vision Engineer

Understanding Recruitment; London; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Salary of up to £100k

Leading projects at the intersection of AI and sports analytics

Remote work flexibility

Quarterly in-person meetings in London

Job summary

A dynamic AI start-up in London is seeking a Lead Computer Vision Engineer to advance sports analytics through innovative computer vision technology. You will lead projects, mentor junior engineers, and collaborate with cross-functional teams. The ideal candidate has extensive deep learning expertise and is proficient in programming languages like Python, along with experience in Docker and Linux environments. You can expect a salary of up to £100k and enjoy remote work flexibility.

Qualifications

• Advanced knowledge of deep learning, especially in Object Detection, Object Tracking, Semantic Segmentation, Pose Estimation, or Video Event Spotting.
• Proven experience in building and deploying computer vision models.

Responsibilities

• Research and develop advanced computer vision models for sports analytics applications.
• Lead the transformation of prototypes into scalable, production-ready systems.
• Mentor junior engineers and foster a culture of innovation.

Skills

Deep learning proficiency

PyTorch skills

TensorFlow skills

Python programming

Docker experience

Linux proficiency

Collaboration skills

Product management experience

Tools

NumPy

OpenCV

Sklearn

Job description

Overview

Lead Computer Vision Engineer - Sports Analytics

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

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

Apply now for immediate consideration!