Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Lead Computer Vision Engineer

Understanding Recruitment
London
1 week ago
Create job alert

I am searching for a Lead Computer Vision Engineer to join a high-growth startup revolutionizing sports analytics using AI. They're backed by serious investor support and building transformative tech that’s changing how elite-level performance is understood and optimized.


You’d lead the charge on computer vision systems—from R&D to production-ready deployment—alongside a sharp engineering and product team. If you're excited by deep learning, real-time processing, and building 0–1 systems with impact, this is worth a look.


📍 Location: Remote (with quarterly London meetups)

💼 Mission: Redefining how performance is measured using cutting-edge vision systems


💡 Why join?

  • Lead innovative projects at the intersection of AI + video + sport science
  • Fully backed startup with funding and traction
  • Remote-first culture with real autonomy and ownership


🚀 Your Role:

  • Build and optimize vision models (object tracking, pose estimation, segmentation)
  • Take prototypes to production with PyTorch, TensorFlow, Docker
  • Drive product development and mentor other engineers
  • Collaborate across product, data, and engineering for real-world deployment


Apply now!

Related Jobs

View all jobs

Lead Computer Vision Engineer

Founding Computer Vision Engineer

Senior C++ Computer Vision Engineer, Camera & Sensor Software

Lead Machine Learning Engineer – London, UK

Lead Data Scientist

Staff Machine Learning Engineer, Anomaly Detection

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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.