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# Senior Machine Learning Engineer

- **Company:** Epic Games, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £135,000.0 - £175,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, SciPy, Reinforcement Learning, Pytorch, Deep Learning, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** August 14, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5841744810

## About the Role

* We require a PhD in Computer Science, Mathematics, or a related field, or 3+ years of relevant industry experience.
 * We are looking for experience creating and applying machine learning algorithms for bot action modeling, including vision-based or language-instructed systems, and deploying them as production-level in-game systems.
 * We need expert, hands-on knowledge of deep learning, including applications in the gaming industry.
 * We need experience with foundational models and vision and/or language, especially vision-language-action models and reinforcement learning agents, including local deployment and post-training of open-weights models.
 * We need experience in reinforcement learning, including agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents.
 * We need strong Python skills and experience with ML tools and frameworks such as numpy, scipy, sklearn, and pytorch.
 * We value experience working collaboratively with other developers in a flexible, agile, or lean environment.

## Description

* We work with applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools for game developers.
 * We focus on bots, including trained gameplay agents, intelligent NPCs, companions, and world modeling, as well as automation across moderation, security, and QA testing.
 * We design, implement, and deploy production-ready machine learning models that can be integrated into our ecosystem.
 * We create and deliver scalable, high-quality machine learning models and associated algorithms that can make actions in game environments.
 * We critically assess model effectiveness and make recommendations for the ongoing roadmap.
 * We methodically understand and evaluate new data channels and support the collection and creation of new ones.

Technologies:

 * 3D
 * Computer Vision
 * Support
 * Machine Learning
 * Mobile
 * PyTorch
 * Python
 * QA Testing
 * Security
 * Unreal
 * VR
 * numpy
 * GameDev


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