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
1 month ago
Applications closed

Related Jobs

View all jobs

Computer Vision Tech Lead

Lead Data Scientist - Remote

Lead Data Scientist

Senior Machine Learning Engineer (Customers)

Machine Learning Engineer (Databricks)

Head of Data Science Technology (Product, Engineering, Design) · London ·

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

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 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.