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Machine Learning Engineer

Rebellion

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Location:
United Kingdom , Oxford

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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
What we offer:
  • 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
  • relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition
  • free parking at the studio

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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