Machine Learning Engineer

For 30 years we’ve been independently developing and publishing incredible video games at our multiple studios. We also own a film studio, develop board games, publish books and comics such as Judge Dredd.

We’re seeking a skilled and innovative Machine Learning Engineer to join our cutting‑edge ML team. 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, and integrate ML and deep‑learning 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. We can provide a relocation package including moving assistance, temporary accommodation, and full support to ensure a smooth transition. We encourage working from our Oxford headquarters but are 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.

Key Qualifications

• 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 plus Christmas closure (typically 4 days) and 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.