Machine Learning Engineer

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.