Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Computer Vision Engineer

Understanding Recruitment
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Computer Vision Engineer

Lead Computer Vision Engineer

Computer Vision & Robotics Team Lead

Computer Vision & Robotics Team Lead

Robotics Computer Vision SLAM Engineer

Computer Vision Tech Lead

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!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.