Principal Machine Learning Engineer - Gameplay Agents

Harnham

City of London

3 weeks ago

Applications closed

Related Jobs

View all jobs

Principal, AI Data Science

Do you want to shape how AI transforms game development at global scale?

Have you built production ML systems that go beyond research prototypes?

Are you ready to lead technically without taking on line management?

A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning Engineer into its Research function in London. This team sits at the forefront of applied AI, building systems that improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems.

You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production.

Key Responsibilities

Lead design of anomaly / defect detection systems for automated QA
Build and optimise computer vision models on video data
Drive applied research (e.g. self-supervised, multimodal, VLM-adjacent work) into production
Own end-to-end ML lifecycle from experimentation to deployment
Provide technical mentorship and delivery planning across projects
Collaborate with engineering and research stakeholders to scale systems

Key Details

Salary: £140,000–£210,000 base
Bonus: 20%-30%
Working model: London – 1 day per month onsite
Tech stack: Python, PyTorch/TensorFlow, video/CV systems, production ML tooling
Visa: Sponsorship available

Interested? Please apply below.

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.

Apr 8, 2026

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Mar 24, 2026

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.