Senior Software Engineer in Test (Graphics/ML)

PlayStation
London
1 week ago
Applications closed

Related Jobs

View all jobs

Software Engineer, Gemma

Senior Embedded Software Engineer

Senior Software Engineer

Senior Software Engineer - Python/DDD

Senior Software Engineer

Senior Software Engineer and Team Leader

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 Corporation.

About Research & Development (R&D)

R&D are PlayStation’s technology experts. We develop innovative technologies that push the boundaries of play, helping game developers make the best games on PlayStation by creating a world class SDK. You will be part of SIE's Platform & Foundational Quality Engineering function, working as part of the Test Engineering team.

The role

Reporting to the Manager of the Test Engineering team and working closely with the Graphics team, you will join a small team of engineers delivering state of the art Software Test Development, Development support and Continuous Integration technologies for the PlayStation R&D team.

What you’ll be doing

  • Take an active role in supporting development work in AI/ML in Graphics.
  • Making scripts and tools (Python or similar) to improve test efficiency and effectiveness.
  • Support code quality, static analysis, continuous integration, bespoke test frameworks and other systems.
  • Help drive project quality and implement suitable tools and processes.
  • Working with multiple teams, communicating with teams worldwide.
  • Learning about PlayStation tools, systems and products; in particular our implementation of Graphics/ML systems.

What you will need:

  • Demonstrable Python programming skills to a good standard.
  • A software development related degree, such as software engineering, computer science or equivalent.
  • Good team working and communication skills.
  • Ability to work independently and be a self-starter.
  • Experience working on Linux systems.
  • Familiarity with different image formats.
  • Image processing experience.
  • Machine Learning / AI experience/understanding.

Nice to have

  • Experience working on a consumer facing ML product.
  • Experience of source code control systems, build systems such as Jenkins, compile environments, automation, VMs and other related devops systems and processes.
  • Knowledge of writing test cases for APIs and console applications.
  • Knowledge or experience of Agile, Waterfall and similar development methodologies.
  • Knowledge or experience in C/C++ or similar.
  • Experience with Visual Studio and support tools.
  • Games development background – especially in console development.
  • Experience in using test automation/testing frameworks such as Cpp/Unit.

Benefits of working at R&D

  • Technology development is not constrained by specific games/engines. There is time and space to research and develop cutting edge technologies.
  • Opportunities to work on collaborative projects with R&D teams in Tokyo and in San Mateo, with the wider Sony group.
  • Innovation time for research and projects of your own choosing.
  • Opportunities to participate in global hackathons.
  • Relaxed working environment with high level of trust and autonomy. All staff are encouraged to express their views and challenge the status quo.

Benefits of working at PlayStation

  • Annual bonus opportunity.
  • Excellent in-house or remote training opportunities.
  • 25 days holiday plus national holidays.
  • Free onsite gym.
  • Onsite bar open on Thursday and Friday evenings.
  • Plus, many more exciting benefits.

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.