Machine Learning Engineer
Machine Learning Engineer

Machine Learning Engineer

Oxford Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
R

At a Glance

  • Tasks: Join our ML Team to innovate AI/ML tech in gaming and mentor junior engineers.
  • Company: Rebellion is a creative powerhouse in gaming, film, and comics, founded by industry veterans.
  • Benefits: Enjoy 22 days holiday, private medical insurance, enhanced family leave, and more perks!
  • Why this job: Be part of a friendly, inclusive culture that values creativity and work-life balance.
  • Qualifications: MSc in a technical field, Python/C++ skills, and experience with ML algorithms required.
  • Other info: Located in scenic Oxford, we offer relocation support and flexible working options.

The predicted salary is between 36000 - 60000 £ per year.

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.
  • 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

    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
  • 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.

    Life at Our Oxford HQ

    Our riverside headquarters in Oxford places you a short walk away from the city centre. Renowned for its rich historical backdrop and esteemed educational institutions, Oxford offers a unique blend of tradition and modernity, with its beautiful architecture and green spaces.

    Oxford also boasts excellent transport links, making it easy to navigate both the city and the wider country. The city’s train station, just a short walk from our studio, offers frequent services to London, as well as direct routes to major cities like Birmingham, Manchester, and Reading and we also offer free parking at the studio.

    Our open-plan office promotes teamwork and innovation, with regular interaction with senior management and other departments, alongside access to free hot drinks, a handy tuck shop onsite and a range of local pubs, cafes and dining options nearby helping make every workday enjoyable!

    Inside Rebellion

    Whichever team you join at Rebellion we are proud of our open, friendly, and creative atmosphere. We love what we do, and we have fun doing it! As a big indie developer, we have complete creative freedom over our titles which allows us to work on a massive variety of projects across all the major platforms.

    Find out more about us here

    Our size, stability, and the variety of in-house expertise across multiple industries, makes Rebellion completely unique! We work in our own way, and we celebrate that as the key to our success. We foster an inclusive culture where you are encouraged to be yourself, to express your creativity and your talent. We are people focused and will support you in every way to can be the best at what you do. We recognise the importance of enjoying what you do and having a healthy work-life balance. We offer a friendly, creative, and relaxed working atmosphere, with sensibly managed projects and a wide variety of benefits and development opportunities for all our teams to ensure you are fully supported with your physical and Mental Well-being.

    We are actively recruiting for a diverse team and continue to add to our culture of growth and inclusion. Rebellion encourages innovation in all areas, and we look forward to hearing how you can help us to be better. We encourage all demographics of culture, gender, ethnicity, neurodiversity and beyond, because a representative team makes better products.

    Machine Learning Engineer employer: Rebellion

    Rebellion is an exceptional employer, offering a vibrant and creative work environment at our riverside headquarters in Oxford, where collaboration and innovation thrive. With a comprehensive benefits package, including generous holiday allowances, private medical insurance, and enhanced family leave, we prioritise the well-being and growth of our employees. Our commitment to fostering a diverse and inclusive culture ensures that every team member can express their creativity and contribute to exciting projects across various platforms.
    R

    Contact Detail:

    Rebellion Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Machine Learning Engineer

    ✨Tip Number 1

    Familiarise yourself with the latest advancements in machine learning and deep learning, especially those relevant to gaming. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.

    ✨Tip Number 2

    Engage with the gaming community and participate in forums or discussions related to AI in games. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.

    ✨Tip Number 3

    Showcase your hands-on experience by working on personal projects that involve ML algorithms in game development. Having a portfolio of relevant projects can set you apart from other candidates.

    ✨Tip Number 4

    Prepare to discuss your problem-solving approach and past experiences in detail during interviews. Be ready to explain how you've tackled challenges in ML projects, as this will highlight your analytical skills and ability to work collaboratively.

    We think you need these skills to ace Machine Learning Engineer

    Proficiency in Python and C++
    Experience with machine learning algorithms and statistical methods
    Hands-on experience with supervised, unsupervised, semi-supervised, and reinforcement learning
    Familiarity with 3D ML/DL techniques
    Strong understanding of data structures and software architecture
    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 and version control (GitLab, Perforce)
    Knowledge of cloud platforms (preferably AWS)
    Outstanding problem-solving and analytical capabilities
    Ability to work autonomously and collaborate effectively with cross-disciplinary teams
    Experience in mentoring junior engineers
    Strong communication skills for presenting technical findings

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Machine Learning Engineer role. Focus on your proficiency in Python and C++, as well as any hands-on experience with ML frameworks like TensorFlow or PyTorch.

    Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming and AI/ML technology. Mention specific projects or experiences that demonstrate your ability to take ownership and mentor others, as these are key aspects of the role.

    Showcase Relevant Projects: Include a portfolio or links to projects that showcase your work with machine learning algorithms, especially those related to game development or 3D modelling. This will help illustrate your practical experience and problem-solving skills.

    Highlight Continuous Learning: Mention any recent courses, certifications, or research you’ve undertaken in the field of machine learning. Staying current with state-of-the-art advancements is crucial, so show that you’re proactive about your professional development.

    How to prepare for a job interview at Rebellion

    ✨Showcase Your Technical Skills

    Be prepared to discuss your experience with Python and C++, as well as your familiarity with ML frameworks like TensorFlow and PyTorch. Bring examples of past projects where you've implemented ML algorithms, especially in gaming contexts.

    ✨Demonstrate Collaboration

    Since the role involves working closely with cross-disciplinary teams, be ready to share experiences where you collaborated with artists, designers, or other engineers. Highlight how you integrated ML models into workflows and the impact it had on the project.

    ✨Discuss Problem-Solving Approaches

    Prepare to talk about specific challenges you've faced in ML projects and how you overcame them. This could include optimising algorithms or handling complex datasets. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

    ✨Stay Current with Industry Trends

    Research the latest advancements in ML and DL, particularly those relevant to gaming. Be ready to discuss how you can apply these trends to enhance game products at Rebellion, showing your passion for the field and commitment to continuous learning.

    Machine Learning Engineer
    Rebellion
    Location: Oxford
    Go Premium

    Land your dream job quicker with Premium

    You’re marked as a top applicant with our partner companies
    Individual CV and cover letter feedback including tailoring to specific job roles
    Be among the first applications for new jobs with our AI application
    1:1 support and career advice from our career coaches
    Go Premium

    Money-back if you don't land a job in 6-months

    R
    • Machine Learning Engineer

      Oxford
      Full-Time
      36000 - 60000 £ / year (est.)
    • R

      Rebellion

      50-100
    Similar positions in other companies
    UK’s top job board for Gen Z
    discover-jobs-cta
    Discover now
    >