Machine Learning Engineer at Rebellion

Oxford, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, C++, ML Frameworks, Data Structures, Software Architecture, Data Modelling, Cloud Platforms, CI/CD Pipelines, Problem Solving, Analytical Skills, Mentoring, Collaboration, Game Development, Statistical Methods

Industry

Computer Games

Description

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 the power of 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. 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. We offer an extensive benefits package to our team including: 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 a wide range of discounts, freebies, and social events! Right to Work Statement 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. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces. Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city’s train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio. Our open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable! Inside Rebellion Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms. Find out more about us here Our size, stability, and the variety of in-house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well-being. We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products. If you are interested in working at Rebellion, but this role doesn’t sound quite like you, we’re recruiting for a range of positions across the studio and we’re always happy to receive speculative applications via our website. Visit our Careers website to view all our live vacancies: Rebellion: Careers #LI-Hybrid

Responsibilities

The Machine Learning Engineer will implement and optimize ML algorithms for game-level generation and enhancement while collaborating with cross-disciplinary teams. They will also manage ML systems and conduct experiments to improve model performance.