Mid-Level Machine Learning Engineer
Mid-Level Machine Learning Engineer

Mid-Level Machine Learning Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Machine Learning team to enhance the PlayStation experience for millions of users.
  • Company: PlayStation, a leader in entertainment, is part of Sony Interactive Entertainment.
  • Benefits: Enjoy a diverse and inclusive workplace with opportunities for innovation and collaboration.
  • Why this job: Work with cutting-edge ML technologies and make a real impact on user experiences.
  • Qualifications: Masters in CS/Statistics/Data Science or equivalent experience; strong Python skills required.
  • Other info: We are an Equal Opportunity Employer, welcoming diverse applicants.

The predicted salary is between 43200 - 72000 £ per year.

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.

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

  • Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.
  • Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of recommendation systems.
  • Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
  • Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews.
  • Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies.
  • Produce reusable code according to standard methodologies in Python.

You Bring:

  • Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience.
  • Experience with Python, and ideally also Scala or Java.
  • Experience in developing ML models for structured data, and ideally also unstructured data.
  • Industry work experience in designing and implementing large-scale machine learning-based solutions that ideally include: recommender systems, personalization, and A/B testing.
  • Strong machine learning and statistical knowledge.

Preferred Qualifications:

  • Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib.
  • Experience with Databricks, Spark, Tecton, Kubernetes, Helm, Jenkins.
  • Familiarity with standard methodologies in large-scale DL training/Inference.
  • Experience with reducing model serving latency, memory footprint.
  • Experience in cloud-based environments, such as AWS.
  • Experience working with custom ML platforms.

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.

Mid-Level Machine Learning Engineer employer: Enclustra

At PlayStation, we pride ourselves on being not just a leader in entertainment but also an exceptional employer. Our inclusive work culture fosters innovation and collaboration, providing employees with ample opportunities for personal and professional growth while working with cutting-edge machine learning technologies. Located in a vibrant environment, we offer competitive benefits and a commitment to diversity, making PlayStation the ideal place for passionate individuals eager to make a meaningful impact.
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Contact Detail:

Enclustra Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Mid-Level Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with the latest machine learning frameworks like TensorFlow and PyTorch. Being able to discuss your experience with these tools during interviews will show that you're up-to-date with industry standards and ready to contribute from day one.

✨Tip Number 2

Highlight any experience you have with recommendation systems or personalisation projects. Be prepared to share specific examples of how you've implemented these technologies in previous roles, as this aligns closely with what PlayStation is looking for.

✨Tip Number 3

Network with current or former employees of PlayStation on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specifics of the role, which can help you tailor your approach during the interview process.

✨Tip Number 4

Prepare to discuss your experience with A/B testing and model evaluation metrics. Being able to articulate how you've used these methods to drive decisions in past projects will demonstrate your analytical skills and understanding of performance measurement.

We think you need these skills to ace Mid-Level Machine Learning Engineer

Machine Learning
Deep Learning
Python Programming
Scala or Java Programming
Statistical Analysis
Recommender Systems
Personalisation Techniques
A/B Testing
Big Data Technologies
Data Analysis
TensorFlow
PyTorch
MLlib
Databricks
Spark
Kubernetes
Cloud Computing (AWS)
Agile Methodologies
Collaboration Skills
Code Review Practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with Python and any frameworks like TensorFlow or PyTorch. Emphasise your work on recommender systems and A/B testing, as these are key aspects of the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and technology. Discuss how your skills align with PlayStation's mission to enhance user experiences through machine learning. Mention specific projects or achievements that demonstrate your expertise.

Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or links to your GitHub. Highlight any machine learning models you've developed, especially those related to consumer-facing applications or personalization.

Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, model evaluation, and coding challenges in Python. Brush up on your knowledge of statistical methods and be ready to discuss your previous work in detail.

How to prepare for a job interview at Enclustra

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've developed ML models, especially in areas like recommendation systems or A/B testing.

✨Understand the Company Culture

PlayStation values diversity and inclusion, so demonstrate your understanding of these principles. Share experiences that highlight your ability to work collaboratively in diverse teams and how you embrace different perspectives.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving skills. Practice coding challenges related to Python and machine learning algorithms, as well as discussing how you would approach real-world problems in a gaming context.

✨Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects, the technologies they use, and their approach to personalising user experiences. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.

Mid-Level Machine Learning Engineer
Enclustra
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  • Mid-Level Machine Learning Engineer

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-05-23

  • E

    Enclustra

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