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

Apply Now

Machine Learning Engineer for Game Technology

PlayStation Global
London
5 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer II

Machine Learning Engineering Manager

Data Science & AI Graduate Scheme

Senior Data Scientist

Senior Data Scientist

Why PlayStation?

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Experienced Deep Learning Engineer for Game Technology

We are looking for an experienced machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love you hear from you.

This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.

The Team

The Advanced Technology Group (ATG) is part of PlayStation Studios, and contributes to some of the most recognisable and ambitious console games and franchises. In addition to its original mission of developing ground-breaking technology for our games, which this role falls under, the group is also a key contributor to platform development, with among other things responsibility for a large part of the GPU software stack all PS5 games are built with.

You will be part of a small creative team of ATG programmers tackling problems centred around computer vision and machine learning. Examples of some projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce assets for AAA games.

Role Overview

You are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions and bring them to production. Some of these systems are expected to run on millions of PlayStations in people's homes, making high run-time performance crucial. You should stay up to date with the competition and the industry's latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.

What we're looking for
• Extensive experience with modern Deep Learning (PyTorch/TensorFlow): You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production.
• Experience with C++ programming and strong debugging skills
• Understanding and experience of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.

Nice-to-have
• Experience with Graphics and/or Game Engines
• Experience with Computer Vision

Benefits

  • Discretionary bonus opportunity
  • Private Medical Insurance
  • Dental Scheme
  • 25 days holiday per year
  • On Site Gym
  • Subsidised Café
  • Free soft drinks
  • On site bar
  • Access to cycle garage and showers

"Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights"

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.