At a Glance
- Tasks: Create and deploy cutting-edge machine learning models for gaming environments.
- Company: Epic Games, a leader in interactive entertainment and game development.
- Benefits: Comprehensive benefits package including health insurance, pension, and wellness perks.
- Other info: Inclusive culture with opportunities for professional growth and collaboration.
- Why this job: Join a creative team pushing the boundaries of gaming technology and innovation.
- Qualifications: PhD or 3+ years experience in machine learning and game development.
The predicted salary is between 63000 - 77000 £ per year.
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.
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 of 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.
- 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 behaviour, 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.
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.
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer.
Senior Machine Learning Engineer (M/F/D) in London employer: Epic Games
Epic Games is an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and collaboration among talented individuals. With a comprehensive benefits package covering 100% of health-related costs and a strong focus on employee well-being, including mental health support, Epic provides ample opportunities for professional growth in the cutting-edge field of machine learning and game development. Located in a dynamic environment, employees are empowered to innovate and contribute to groundbreaking projects that shape the future of interactive entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Epic Games or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Epic Games.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Epic Games.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Epic Games that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Epic Games.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Epic Games and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Epic Games
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Epic Games uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
