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

Apply Now

Lead AI/ML Engineer (SportsTech - Computer Vision)

Animo Group
London
16 hours ago
Create job alert

Lead AI/ML Engineer Computer Vision & GenAI

London, UK | Hybrid

Were supporting a high-growth technology business at the forefront of AI innovation in sport and human performance. Theyre looking for a Lead AI/ML Engineer to take ownership of their applied machine learning function, with a strong focus on computer vision, automation, and generative AI.

This is a hands-on leadership role, ideal for someone who wants to combine technical expertise with team management and drive the strategy for applied AI/ML across a product suite thats already impacting users worldwide.

Theres clear scope for progression as the company scales, you could evolve into a Head of AI or senior leadership position, shaping the long-term direction of their applied AI and research strategy.

The role

  • Lead the development of computer vision models (2D/3D pose estimation, video analysis, biomechanics).
  • Apply Generative AI techniques (synthetic data, video generation, code generation, intelligent agents) to improve automation, scale, and personalisation.
  • Manage and mentor a small, specialist team.
  • Define the AI/ML innovation strategy across core products.
  • Build ML pipelines for large-scale video processing across edge and cloud.
  • Ensure robustness, accuracy, and real-time performance of deployed models.
  • Keep pace with emerging research and technologies, bringing new ideas into production.
  • Partner with domain experts to translate biomechanical data into actionable insights.

What were looking for

  • Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement)
  • Proven technical leadership experience, ideally with direct reports.
  • Track record of deploying ML models into production environments.
  • Hands-on skills with TensorFlow, PyTorch, OpenCV, and Python ML frameworks.
  • Excellent communication skills and ability to work cross-functionally.

Desirable

  • MSc/PhD in Machine Learning, Computer Vision, or related field.
  • Knowledge of Generative AI models (GANs, diffusion, LLMs).
  • Experience with MLOps and lifecycle management.
  • Experience in startups or fast-paced R&D.

Why apply?

  • Flexible hybrid working (London office)
  • A chance to shape the future of AI in sport and human performance.
  • Collaborative, mission-driven environment with global reach.

Related Jobs

View all jobs

Lead AI/ML Engineer (SportsTech - Computer Vision)

Artificial Intelligence Engineer

Data Scientist - Grid Innovation Model Development

Data Scientist – Grid Innovation Model Development

ML (Machine Learning) Engineer

Engineering Manager – AI/ML (Computer Vision Focus)

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.

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.