At a Glance
- Tasks: Build and enhance enterprise AI solutions using cutting-edge technologies.
- Company: Join EPAM Systems, a leader in innovative tech solutions.
- Benefits: Enjoy competitive pay, stock options, private health insurance, and exciting perks.
- Other info: Hybrid role with opportunities for growth in a dynamic environment.
- Why this job: Make an impact in AI while working with the latest tools and technologies.
- Qualifications: Experience in machine learning, API development, and containerization is essential.
The predicted salary is between 60000 - 80000 £ per year.
EPAM Systems, Inc. is seeking a Machine Learning Engineer in London, United Kingdom. This hybrid role involves contributing to an enterprise AI program by building and surfacing MCP Servers and Tools and implementing evaluation mechanisms for large language models.
Key responsibilities include:
- API development with FastAPI
- Containerization using Kubernetes
- Applying prompt engineering principles
The successful candidate will engage in Agile processes to deliver scalable AI solutions.
Competitive benefits include a stock purchase plan, private medical insurance, and various perks.
Enterprise AI Engineer: LLM + MCP Integration in London employer: EPAM Systems, Inc.
EPAM Systems, Inc. is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong focus on employee growth, we offer competitive benefits such as a stock purchase plan and private medical insurance, alongside opportunities to engage in cutting-edge AI projects. Join us to be part of a collaborative team that values creativity and professional development in a thriving tech environment.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Engineer: LLM + MCP Integration in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with EPAM Systems employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, LLMs, and MCP integration. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of FastAPI, Kubernetes, and prompt engineering principles. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise AI Engineer: LLM + MCP Integration in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your work with FastAPI, Kubernetes, and prompt engineering.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our enterprise AI programme. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any projects related to LLMs or MCP integration, make sure to mention them. We’re keen to see practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at EPAM Systems, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in FastAPI, Kubernetes, and prompt engineering principles. Brush up on your knowledge of API development and containerization, as these are crucial for the role. Being able to discuss specific projects where you've applied these technologies will really impress the interviewers.
✨Showcase Your Agile Experience
Since this role involves Agile processes, be prepared to talk about your experience working in Agile teams. Share examples of how you've contributed to sprints, collaborated with cross-functional teams, and adapted to changing requirements. This will demonstrate your ability to thrive in a dynamic environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of machine learning concepts. Practice coding challenges related to AI and ML, and be ready to explain your thought process. This will show that you can think critically and apply your knowledge effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI integration, the team dynamics, or future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
