Manager,Software Engineering New United Kingdom, London

Tbwa Chiat/Day Inc
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager, Munich

Senior Data Scientist – NLP & MLOps

Senior Data Scientist - Forecasting

Data Science Manager – Experimentation: Innovation & Research United Kingdom, London

Data Scientist/Senior Data Scientist – Generative AI

Staff Data Scientist – Experimentation: Innovation & Research United Kingdom, London

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.

Job Description

Based in London, our team are part of the FSEE (Foundational Systems and Experiences Engineering) group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

We are looking for an experienced manager with strong people skills to lead a team of experienced engineers working on Graphics, Machine Learning and Game Technologies. With a strong understanding of engineering concepts, your main responsibility will be to lead and support a team of talented individuals to develop and deliver the best possible technologies for our development partners.

The ideal candidate will be a highly skilled manager with a background in Graphics/GPUs/ML development from working in video games or a closely related industry. You will have proven track record of leading effective engineering teams to deliver high performance, innovative technical solutions.

What you’ll be doing

  • Managing a team of experienced software engineers: Providing guidance, mentorship, and unwavering support to help them achieve their professional goals, fostering an environment where they can thrive and excel.
  • Driving forward research, development and implementation of the latest graphics and game technologies through to delivery in our game SDKs.
  • Working with technical leads, engineers and project managers, to plan goals and objectives.
  • Connecting with stakeholders, making sure our solutions meet customer needs.
  • Encouraging research, innovation and a culture of continuous learning in the team.
  • Fostering a strong team culture, morale, and cohesiveness.
  • Supporting technical leads by ensuring that the team has access to tools and resources to perform their work effectively.
  • Aligning team objectives with the overall organizational goals and long-term vision, ensuring that our efforts contribute to the broader mission of the company.
  • Conducting staff appraisals, fostering individual growth and development through regular one-to-ones, and identifying and mitigating risks.
  • Handling administrative tasks - Approving holidays, purchases and expenses, ensuring smooth day-to-day operations.

What we’re looking for

  • A degree in Computer Science, Engineering, or a related field; advanced degrees are a plus.
  • Experience delivering technologies in the interactive entertainment industry, computer graphics, or a related field.
  • A passion for gaming and a keen interest in GPU technology trends such as ML and Ray-tracing.
  • Excellent people skills with Line management experience (goal setting, appraisals, staff development, performance management)
  • Strong project management skills, with the ability to prioritize tasks, manage resources, and meet project timelines.
  • Familiarity with agile development methodologies and a collaborative approach to problem-solving.
  • Excellent communication skills ensuring good stakeholder relations (collaborating with development teams across the company. Ensuring customer needs are considered.)
  • Ability to create and communicate complex technology plans.
  • You are a strong advocate for personal and professional growth, ensuring that every team member feels valued and heard.
  • Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization.
  • Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment.
  • You are experienced in managing team communications in a large organization.

Domain Expertise:

  • Experience with programming languages, tools and frameworks relevant to graphics and machine learning (e.g., C++, Python, PyTorch, OpenGL, DirectX).
  • Experience in Machine Learning development is highly desirable.

Benefits:

  • Discretionary bonus opportunity
  • Hybrid Working (within Flexmodes)
  • Private Medical Insurance
  • 25 days holiday per year
  • On Site Gym
  • Free soft drinks
  • 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.

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

LinkedIn Profile

Website

What are your salary expectations? *

What is your current notice period? * Select...

Do you wish to be considered for other roles? Select...

Do you hold the right to work in the UK? * Select...

Would you like to stay connected with us? * Select...

Question: Stay Connected for Future Opportunities ?

Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you. By selecting "Yes," you’ll allow us to keep your details on file for the next 24 months. This means we can reach out to you about other exciting roles that may fit your skills and interests as they come up. We’re eager to stay connected!

We take your privacy seriously and will ensure your information is securely stored and used only for recruitment purposes, as outlined in our (Candidate Privacy Notice ). Please take a moment to review it for more details.

#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 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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.