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For Companies At a Glance
- Tasks: As an ML Ops Engineer, you'll streamline and maintain machine learning models in a dynamic environment.
- Company: YouLend is a leading embedded financing platform for top e-commerce and tech companies worldwide.
- Benefits: Enjoy stock options, private medical insurance, enhanced leave, and a modern office with free gym access.
- Why this job: Join an award-winning fintech recognized for its supportive culture and impactful work in financial services.
- Qualifications: Proven experience in operational ML systems, strong Python skills, and a DevOps mindset are essential.
- Other info: Salary ranges from £65,000 to £95,000 plus a 20% annual bonus.
The predicted salary is between 65000 - 95000 £ per year.
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
Epic Games is looking for a Machine Learning Ops Engineer to support our team of Machine Learning engineers building solutions for internal use cases, such as classifiers for content moderation and security, semantic search, chatbots, etc. Your focus will be building reliable infrastructure for training, validating, serving, and monitoring our ML models at scale. This is an incredible opportunity to create a fun and safe environment for millions of players and make a positive impact on the Epic ecosystem.
In this role, you will
- Work directly with our ML engineering team to improve codebase architecture, performance, observability and scale.
- Operationalize proof of concept models into high availability production services, hosted on Amazon EKS, with a focus on factors such as latency, throughput and scalability.
- Build and optimize CI/CD pipelines to enable a team of 20+ engineers to ship ML models at scale, quickly and safely.
- Work with key stakeholders to identify technical debt and migrate legacy systems to the latest tools and platforms within Epic.
What we\’re looking for
- Experience with engineering, data analytics, and machine learning.
- Experience in building & maintaining technology used in ML development, with a focus on Python as the programming language.
- Experience in building and maintaining infrastructure for training and deployment of large-scale ML/DL models that scale across clusters with CPU/GPU machines.
- Experience in any of the following technologies and techniques is a plus: Pytorch, Torchserve, ONNX, Model quantization, TensorRT, OpenVINO, NVIDIA Triton.
- Fluency in Unix/Linux tooling, shell scripting and operating systems internal is a plus.
- Excellent communication and interpersonal skills.
- BS/BA degree or equivalent work experience.
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 spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 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 .
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Machine Learning Ops Engineer employer: Epic Games
Contact Detail:
Epic Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Ops Engineer
✨Tip Number 1
Familiarize yourself with YouLend's tech stack, especially Terraform, AWS, and Docker. Understanding these tools will not only help you in the interview but also show that you're proactive about integrating into our environment.
✨Tip Number 2
Highlight any experience you have with building and maintaining operational ML systems. Be ready to discuss specific projects where you've designed scalable ML pipelines or automated aspects of the ML lifecycle.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of how you've tackled complex issues in ML pipelines. This will showcase your ability to troubleshoot and optimize processes effectively.
✨Tip Number 4
Emphasize your collaborative mindset. Be prepared to discuss how you've worked with cross-functional teams, particularly with ML research engineers and software developers, to integrate new advancements into production.
We think you need these skills to ace Machine Learning Ops Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Ops Engineer position at YouLend. Understand the key responsibilities and required skills, especially around ML pipelines, data engineering, and collaboration with software engineers.
Tailor Your CV: Customize your CV to highlight relevant experience in building and maintaining operational ML systems. Emphasize your Python proficiency and any experience with DevOps practices, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your understanding of its application in financial services. Mention specific projects or experiences that align with YouLend's mission and values.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex issues in ML pipelines. Highlight your proactive approach to troubleshooting and optimizing processes, as this is a key aspect of the role.
How to prepare for a job interview at Epic Games
✨Showcase Your ML Pipeline Experience
Be prepared to discuss your previous experience with building and maintaining operational ML systems. Highlight specific projects where you designed, implemented, or optimized ML pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Python Proficiency
Since strong Python skills are essential for this role, make sure to brush up on relevant libraries used in ML and data engineering. You might be asked to solve coding problems or discuss your approach to writing efficient, maintainable code.
✨Understand CI/CD and DevOps Principles
Familiarize yourself with CI/CD practices, containerization tools like Docker and Kubernetes, and version control systems such as Git. Be ready to discuss how you've applied these principles in past projects to streamline deployment processes.
✨Prepare for Problem-Solving Scenarios
Expect to encounter hypothetical scenarios related to troubleshooting issues in complex ML pipelines. Practice articulating your problem-solving approach, including how you would identify bottlenecks and implement solutions effectively.
