We want you to #JOINTHEREBELLION! For 30 years we've been independently developing and publishing incredible video games at our multiple studios founded by Jason & Chris Kingsley, but Rebellion is more than just games. We have our own film studio, we create board games, publish books, and through 2000AD, publish comics and graphic novels such as the amazing Judge Dredd.
We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting-edge ML Team. You’ll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. This mid-level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products.
In this role, you’ll work closely with the Head of Machine Learning and our ML Engineers to create, design, develop, and optimise ML/DL systems that:
Generate game levels and 3D worlds.
Enhance our game products.
Develop custom tools for our teams.
Integrate ML and deep learning (DL) models into our production workflows and real-time gaming environments.
You’ll be hands-on from research through deployment, exploring state-of-the-art advancements, running experiments, refining algorithms, and ensuring scalable, high-performance solutions. You’ll work with complex datasets, including tabular, imagery, 3D point clouds, and proprietary game data.
This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere where teamwork drives our success. We can provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition to your new environment.
We believe in face-to-face collaboration and encourage working from our Oxford headquarters. However, we understand that flexibility matters, so we’re open to discussing hybrid options.
Key Responsibilities
Implementation and optimisation of ML algorithms and tools for game-level generation and enhancement.
Collaborate with cross-disciplinary teams (art, design, code) to integrate ML models into real-time game workflows.
Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models.
Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production.
Analyse diverse datasets to inform model architecture and feature engineering.
Stay current with state-of-the-art ML/DL research and evaluate new technologies for practical application.
Mentor and guide junior ML engineers, sharing best practices and reviewing their work.
Present technical findings, progress, and recommendations to stakeholders and leadership.
Requirements
MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus.
Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems.
Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods.
Hands-on experience with supervised, unsupervised, semi-supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable.
Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data).
Proficient with ML frameworks (NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras).
Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows.
Outstanding problem-solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines.
Benefits
22 days holidays + Christmas closure (typically 4 days) & Bank holidays (increasing with service at 5 years - one day each year until you reach 31 days).
Private Medical Insurance, healthcare cash plan, including dental and Vision.
Life Assurance, Income Protection & Critical Illness Cover.
Enhanced Family Leave.
Interest Free, Tax-Free loans.
Enhanced Pension Scheme.
EAP a range of Mental Health and Wellbeing Support.
Plus loads more, including discounts, freebies, and social events.
Right to Work
This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.
Life at Our Oxford HQ
Our riverside headquarters in Oxford places you a short walk away from the city centre. Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. The city has excellent transport links, and the studio offers free parking. The open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, along with access to free hot drinks and nearby dining options.
Inside Rebellion
Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. As a big indie developer, we have creative freedom over our titles and work on a variety of projects across major platforms. Find out more about us on our Careers page: Rebellion Careers.
Our size, stability, and the variety of in-house expertise across multiple industries make Rebellion unique. We foster an inclusive culture where you are encouraged to be yourself and to express your creativity and talent. We are people-focused and support you to be the best at what you do, while promoting a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere with a wide range of benefits and development opportunities for all teams.
We are actively recruiting for a diverse team and welcome speculative applications via our website. Visit our Careers page to view all live vacancies: Rebellion Careers.
#J-18808-Ljbffr