Senior Engineer, Machine Learning

Sony Playstation
City of London
18 hours ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior ML Engineer - Production ML & MLOps on Databricks

Senior Software Engineer - Machine Learning

Senior ML Engineer — LLM Agents & Computer Vision (Remote)

Senior Staff Engineer (Machine Learning) - 45391

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.

At the forefront of innovation for PlayStation, the Future Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Senior Machine Learning Engineer at the intersection of machine learning, computer vision, & video game development to join our dynamic R&D team. We are on a mission to revolutionise video game QA by developing innovative technologies that automatically detect bugs and glitches – at different stages, from game development to certification to compatibility testing. This is a unique opportunity to contribute to a global effort, making game QA faster and more efficient, positively impacting the lives of millions of players.

As a Senior Machine Learning Engineer in Anomaly Detection, you will be a key contributor in a research team focused on advancing our game anomaly/glitch detection technology, driving technical excellence and innovation. The team will design, implement, and optimise advanced AI algorithms and machine learning models to detect anomalies in games. Your expertise will help shape the future of gaming by ensuring high-quality player experiences.

What you’ll be doing:
  • AI/ML Model Development: Design, develop and implement novel anomaly/glitch detection algorithms to automatically identify bugs and glitches in games.
  • Research and Innovation: Lead research workstreams in anomaly detection, contributing to the authorship of team research papers, expanding the IP portfolio by filing relevant patents, and presenting your latest research at relevant internal and academic conferences.
  • Collaboration and Creativity: Work with multi-functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance.
  • Mentorship: Mentor and guide junior team members, interns and academic partners, fostering a culture of innovation and continuous learning.
  • Communication: Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues.
  • Continuous Learning: Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team.
  • Prototyping: Quickly prototype new ideas and technologies to evaluate relevance and performance.
  • Inclusive Culture: Contribute to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team.
What we are looking for:
  • Education: Master’s degree in computer science, machine learning, electrical engineering, robotics, statistics, mathematics, or a related field. PhD preferred, but can be substituted with relevant work experience.
  • Senior Research Engineer: 5+ years of relevant work or research experience in the field of machine learning/AI game development, computer science or related technical fields.
  • Domain Expertise:
  • Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision, and video stream analysis, preferably in a studio environment
  • Proven track record of successfully delivering machine learning algorithms from conception to deployment in real-world products.
  • Professional experience with Python and proficient with machine learning frameworks such as TensorFlow or PyTorch.
  • Strong understanding of data analysis, signal processing, and statistical modelling
  • Experience in game development is a plus
  • Experience with computer vision in areas such as self-supervised learning, multimodal or vision-language models, and post-training techniques is a plus
  • Research Ambition: A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top-tier conferences and journals such IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
  • Interpersonal Skills: Strong problem-solving, communication, and interpersonal abilities, with a proven ability to work collaboratively as an effective team player.
  • Passion for Gaming: An interest in gaming and exploring the intersection of machine learning and game technology is desirable.
Benefits:
  • Discretionary bonus opportunity
  • Hybrid Working (within Flexmodes)
  • 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

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.