Engineering Manager – AI/ML (Computer Vision Focus)

La Fosse

Stoke-on-Trent

1 month ago

Applications closed

Related Jobs

View all jobs

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

Software Engineering Manager

Senior Machine Learning Engineering Manager, GenAI

Principal Product Manager – Data Science & Machine Learning

Product Manager III - Artificial Intelligence & Machine Learning Platform

Engineering Manager – AI/ML (Computer Vision Focus)

Up to £120/130k + bonus + shares
Remote-first – occasional travel to London
Innovating real-time AI in a world-class SportsTech environment

I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for anEngineering Manager – AI/MLto lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.

This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.

What you’ll be doing:

Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
Drive architectural decisions and technical direction across real-time AI systems.
Work closely with senior stakeholders to align engineering efforts with business goals.
Create a culture of high performance, mentorship, and continuous learning.
Own delivery processes and technical planning while staying high-level and strategic.
Ensure solutions are scalable, reliable, and well-architected for future growth.

What we’re looking for:

Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
Strong technical background with an emphasis on architecture and system design.
Preference for candidates with experience building real-time or low-latency systems – not essential.
Ability to lead without being hands-on – this role is more strategic and people-focused.
Excellent communication and stakeholder management skills.

If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.

Engineering Manager – AI/ML (Computer Vision Focus)

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

Industry Insights

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

Jul 21, 2025

Careers Jobs

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

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jul 18, 2025

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jul 14, 2025

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.