Machine Learning Engineer

Kwalee
Royal Leamington Spa
1 week ago
Create job alert
At Kwalee, we foster an environment where creativity and collaboration come together. Specialising in both the development and publishing of casual and hybrid casual games, we also bring our creative touch to publishing PC & Console titles, ensuring a diverse and exciting gaming portfolio.

By joining our talented team in Bangalore or Leamington Spa, you’ll be part of a space where ideas flow freely, innovation flourishes, and team spirit stays strong. We’ve found that when we’re all together, great things happen. With over 1 billion players already reached, your work will contribute to our shared mission of making the most fun games for the world's players.

Join the team!

As we continue to grow, we are now looking for a Machine Learning Engineer to join our Data & Engineering team.

As a Machine Learning Engineer, you will be responsible for developing and optimising machine learning models to extract value from our games, players, and marketing data. You will work closely with the data science, marketing, and game development teams to build scalable data-driven solutions. Together, you will enhance automated decision-making, improve complex systems, and drive data experimentation to uncover new insights.

This is a permanent role based in our Leamington Spa studio, where our daily in-office collaboration fuels creativity and innovation.

Responsibilities:

  • Develop and improve machine learning models by researching, experimenting, and testing new techniques.
  • Extract and process data from various sources to enhance predictive accuracy.
  • Work with data scientists, marketing, and game development teams to build valuable data tools.
  • Optimise existing models by testing new architectures and strategies.
  • Design and implement experiments to understand player behaviour and market trends.
  • Collaborate with software engineers to deploy models in scalable products.

Requirements:

  • A few years of industry experience deploying production machine learning models.
  • Strong background in training and deploying ML models in real-world applications.
  • Experience in marketing-related domains or similar data-driven industries.
  • Proficiency in cloud-based ML tools and platforms such as AWS SageMaker, Google Vertex AI, Fabric, or MLOps frameworks.
  • Hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks.
Why Kwalee?

We believe in more than just a job—we’re committed to helping you thrive with a fantastic work-life balance and a range of great benefits! You’ll enjoy comprehensive medical cover, including dental and optical care, life assurance, and a solid pension plan. Plus, you’ll have 25 days of holiday to recharge, along with unlimited snacks and drinks to keep you energised throughout the day.

Enjoy the benefits of an on-site gym, free parking, and convenient electric charging stations. We provide state-of-the-art equipment and plenty of career growth opportunities to set you up for success. And to keep things lively, we host seasonal events, regular townhalls, and share exclusive Kwalee merch. With our dog-friendly policy and a vibrant office atmosphere, there’s always something fun going on!

Our Commitment to Diversity & Inclusion

At Kwalee, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive.

Our culture is built on celebrating the diverse voices of our team members, fuelling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.

We recognise the importance of self-development, career progression, and well-being in retaining our talented team. At Kwalee, we celebrate individuality and encourage everyone to bring their authentic selves to work.



7gDnqRT65NoBRckldcqR8n

PI269790859

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer( Real time Data Science Applications)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Health Tech Start Up

Machine Learning Engineer (3D)

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.

Jobs

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.