Senior Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Epic Games. London · full-time · no salary stated · we estimate £125,500–£152,500.
Epic Games has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy scalable machine learning models that take actions in game environments
- Develop tools for gameplay bots, intelligent NPCs, companions, world modeling and game-development automation
- Judge how well models perform and recommend what to improve next
- Evaluate new data sources and help create or collect additional training data
What you bring
- A PhD in computer science, mathematics or a related area, or at least three years of relevant industry experience
- You have built and deployed production machine-learning systems for bot behavior using vision, language instructions or action modeling
- Strong practical skills in deep learning, reinforcement learning and foundational models, including vision-language-action systems
- You can train and evaluate agents, design rewards and policies, and build scalable training environments
- Hands-on Python and ML framework experience, plus a collaborative way of working with other developers
Who this fits
This senior role suits an engineer who can take machine-learning models for game agents from development into production. The position is based in London, United Kingdom.
From the employer
WHAT MAKES US EPIC?
At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.
ENGINEERING - GAMES
What We Do
Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.
What You'll Do
You will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.
In this role, you will
- Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environments
- Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
- Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones
What we're looking for
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- PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience
- Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-game
- Expert, hands-on knowledge of:
- Deep learning, incl. but not limited to applications in the gaming industry
- Foundational models and vision and/or language, especially vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights models
- Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents
- Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
- Experience with working collaboratively with other developers, following a flexible/agile/lean approach
EPIC JOB + EPIC BENEFITS = EPIC LIFE
We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.
ABOUT US
Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Like what you hear? Come be a part of something Epic!
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.