Senior Machine Learning Engineer
London, England, United Kingdom
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild production-ready, scalable ML models that act in game environments
Assess model effectiveness and recommend roadmap changes
Evaluate new data channels and help collect or create them
From the employer’s posting
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 you’ll bring
All qualificationsCore experience
- PhD in CS, math or related field, or 3+ years of relevant industry experience
- Experience deploying ML bot behavior models as production systems in-game
- Expert knowledge of deep learning
- Expert knowledge of reinforcement learning, including agentic systems and reward design
- Python and ML frameworks such as PyTorch, numpy, scipy, sklearn
Qualification wording
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
Deep learning, incl. but not limited to applications in the gaming industry
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)
Education & alternatives
- - 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
Tools in this posting
- Python
- NumPy
- PyTorch
- SciPy
- scikit-learn
Source — Tool mentions in context
- 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
About Epic Games
Epic Games is a leading interactive entertainment company.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 16, 2026 · 105 days ago
- Recorded sightings
- 102
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on epicgames.com. The employer’s form will show what is required.
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Job description
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
-
- 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.
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- Location & working pattern
London, England, United Kingdom
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