Role overview
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
What you'll work on
- 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.
What we're looking for
- 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
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!