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# Machine Learning Engineer

- **Company:** Epic Games, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, NumPy, SciPy, Reinforcement Learning, Pytorch, Deep Learning, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** September 1, 2026
- **Apply:** https://www.gamesjobsdirect.com/details/redirect/senior-machine-learning-engineer/351777

## About the Role

+ 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:
o Deep learning, incl. but not limited to applications in the gaming industry
o 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
o Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents
o Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)

 + Experience with working collaboratively with other developers, following a flexible/agile/lean approach

## Description

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


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