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Artificial Intelligence jobs in United Kingdom

Senior Engineer, Machine Learning

PlayStation

Greater London
Hybrid
GBP 80,000 - 110,000
19 days ago
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Inbound Auto Loans Collections Associate

Sutherland

Manchester
On-site
GBP 20,000 - 25,000
19 days ago

Senior Prison Services Technician

Oxleas NHS Foundation Trust

Sheerness
On-site
GBP 30,000 - 40,000
19 days ago

Technical Project Manager

Graphcore

Bristol
On-site
GBP 60,000 - 75,000
20 days ago

Test Development Engineer - Electronic Hardware

Cerebras

Bristol
On-site
GBP 80,000 - 100,000
20 days ago
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Enterprise Cloud Architect - Google

Insight Enterprises, Inc.

Uxbridge
On-site
GBP 80,000 - 110,000
21 days ago

Commercial Finance Policy Manager

Crown Commercial Service

Norwich
On-site
GBP 48,000 - 54,000
21 days ago

Operational Ethics & Safety Manager

Google DeepMind

Greater London
On-site
GBP 60,000 - 100,000
21 days ago
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Lecturer in Computer Science

Liverpool John Moores University

Liverpool
On-site
GBP 40,000 - 60,000
21 days ago

Senior Community Learning Disability Nurse (CPH)

Oxleas NHS Foundation Trust

Greater London
On-site
GBP 60,000 - 80,000
21 days ago

Bank Senior Prison Services Technician - HMP Rochester

Oxleas NHS Foundation Trust

City Of London
On-site
GBP 30,000 - 40,000
21 days ago

Senior Storage Engineer

Graphcore

Bristol
On-site
GBP 125,000 - 150,000
22 days ago

Vulnerability Manager

Graphcore

Bristol
On-site
GBP 80,000 - 100,000
22 days ago

Linux Engineer

Graphcore

Bristol
On-site
GBP 40,000 - 60,000
22 days ago

Global Head of RFP and Sales Enablement

Brown Brothers Harriman

Greater London
On-site
GBP 90,000 - 130,000
22 days ago

Senior Product Manager

Rippling

Greater London
Hybrid
GBP 60,000 - 80,000
23 days ago

Growth Lead, EMEA

OpenAI

City Of London
On-site
GBP 70,000 - 90,000
24 days ago

Lecturer in Computer Science

Liverpool John Moores University

Liverpool City Region
On-site
GBP 35,000 - 50,000
24 days ago

Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intellige

University of Oxford

Oxford
On-site
GBP 49,000 - 59,000
24 days ago

Senior Product Manager, Global Operations

Angi

Greater London
Hybrid
GBP 75,000 - 95,000
24 days ago

Procurement Manager - IT & Telecoms

Chartered Institute of Procurement and Supply (CIPS)

Greater London
Hybrid
GBP 55,000 - 75,000
27 days ago

PCB CAD Design Engineer

Graphcore

Bristol
On-site
GBP 40,000 - 60,000
27 days ago

Cyber Risk Manager

Convex

Greater London
On-site
GBP 60,000 - 90,000
27 days ago

Senior PCB CAD Design Engineer

Graphcore

Bristol
On-site
GBP 50,000 - 70,000
27 days ago

Hardware Development Engineer

Graphcore

Bristol
On-site
GBP 80,000 - 100,000
27 days ago

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Senior Engineer, Machine Learning
PlayStation
Greater London
Hybrid
GBP 80,000 - 110,000
Full time
19 days ago

Job summary

A leading gaming company in Greater London is looking for a Senior Machine Learning Engineer to enhance gaming experiences through innovative anomaly detection technologies. This role requires a Master's degree and extensive experience in machine learning and AI, particularly in game development. You will work in a dynamic R&D team, developing algorithms, mentoring junior members, and ensuring high-quality player experiences. Benefits include hybrid work options, private medical insurance, and a discretionary bonus.

Benefits

Discretionary bonus opportunity
Hybrid Working
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

Qualifications

  • 5+ years of relevant work experience in machine learning/AI.
  • Masters or PhD in relevant technical fields.
  • Professional experience with machine learning frameworks.

Responsibilities

  • Develop anomaly detection algorithms for gaming.
  • Collaborate with cross-functional teams for model deployment.
  • Mentor junior team members and maintain a culture of innovation.

Skills

Machine Learning
Python
Anomaly Detection
Collaboration
Problem-solving

Education

Master's degree in computer science or related field

Tools

TensorFlow
PyTorch
Job description
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 PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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