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Machine Learning Engineer

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Rebellion co
Full Time position
Listed on 2025-12-25
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 GBP Yearly GBP 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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 (Num Py, OpenCV, scikit‑learn, PyTorch/PyTorch3D, Tensor Flow, Keras).
  • Experience with CI/CD pipelines, version control (Git Lab, 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
  • En…
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