Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- Machine Learning Engineer joining Rebellion to enhance game products using cutting-edge ML/DL technology. Collaborating on innovative projects within a dynamic, creative environment in Oxford.
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 a wide range of discounts, freebies, and social events!
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