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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