We are seeking a skilled and innovative Machine Learning Engineer to join our cutting‑edge ML Team at Rebellion. 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.
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 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.
Location & Relocation
Work 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. Hybrid options are also discussed upon request.
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