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

View Roles

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid

Enigma
Birmingham
3 months ago
Applications closed

Related Jobs

View all jobs

Senior MLops (Full Stack) Engineer | London | Foundation Models

Senior MLops (Full Stack) Engineer | London | Foundation Models

Engineering Manager, Machine Learning Platform New London (London)

Machine Learning Operations Engineer

Senior Machine Learning Engineering Manager

Engineering Lead Manager, Data Science

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid


We are seeking anEngineering Managerto join ourApplied Machine Learning team, focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities.


Key Responsibilities

  • Deliver Results: Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and the business.
  • Foster Collaboration: Work cross-functionally with other teams and organizational leaders to deliver projects in iterative increments, manage dependencies, and uphold product quality.
  • Set Technical Standards: Lead by example in architectural decisions, code quality, and system health. Guide the team in building reliable, scalable, and cost-effective solutions that support long-term goals.
  • Build High-Performing Teams: Create and nurture an environment where your team is empowered, motivated, and set up for success. Optimize technical processes and team structures for consistent delivery.
  • Talent Development: Provide mentorship and career guidance to Applied Scientists and Engineers, supporting growth across both technical and leadership paths.


Location and Flexibility

This role is open to candidates who live within commuting distance of aLondon office. There are no current requirements for in-office presence, thanks to a flexible work policy.


Required Qualifications

  • Leadership Experience: Proven success in managing a team of 5–10 technical contributors and supporting their development and productivity.
  • Systems Expertise: Hands-on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale.


Technical Proficiency: Strong experience in several of the following domains:

  • Classical and deep learning-based computer vision
  • Multi-view geometry
  • GPU-accelerated computing
  • Edge inference
  • Large language models (LLMs)
  • Real-time systems
  • Signal processing


Excellent Communication: Ability to explain complex technical topics and decisions clearly to both technical and non-technical stakeholders.

Product Focus: Track record of delivering impactful ML/AI-driven features in close collaboration with product and engineering teams.


Preferred Qualifications

Sports Technology Experience: Familiarity with applying AI/ML techniques to the sports domain, especially to generate insights or performance data.


What We Offer

  • Flexible Work-Life Balance: Benefits designed to support both your personal and professional life, including generous vacation policies, company holidays, meeting-free days, and remote work options.
  • Autonomy and Ownership: A culture that encourages individual ownership, open communication, and innovation.
  • Continuous Learning: Access to career development resources, professional growth opportunities, and internal mentorship.
  • Optimized Work Environment: Supportive, well-equipped workspaces—whether remote or in-office—designed to help you do your best work.
  • Comprehensive Wellbeing Support: Medical and retirement benefits based on location, along with mental health resources, employee assistance programs, and affinity groups.


Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid

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.

Automate Your AI Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

If you’re searching for AI jobs in 2025, you’re juggling dozens of tabs, scrolling endless feeds, & rewriting your CV for every application. It’s noisy, repetitive, & easy to miss the best roles. The fix is simple: build a lightweight automation stack that brings relevant roles to you, then use ChatGPT to triage, shortlist, & tailor applications in minutes. This guide shows you exactly how to do it. You’ll get copy-paste prompts, shareable Boolean strings, & practical workflows using Google Alerts, RSS, job boards, & ChatGPT. Set this up once & you’ll save hours every week—without losing quality or control.

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.

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.