At a Glance
- Tasks: Build cutting-edge AI tools and develop APIs for enterprise solutions.
- Company: Join EPAM Systems, a leader in innovative technology.
- Benefits: Enjoy stock options, medical benefits, and endless learning opportunities.
- Other info: Be part of a dynamic team focused on scalable AI solutions.
- Why this job: Make an impact in AI while working in a hybrid, tech-savvy environment.
- Qualifications: Experience in machine learning and backend engineering is a plus.
The predicted salary is between 60000 - 80000 £ per year.
EPAM Systems is seeking a Machine Learning Engineer to join the team in London, United Kingdom, in a hybrid working mode. This role involves contributing to an enterprise AI program by building MCP Servers and Tools, developing APIs, and implementing evaluation mechanisms for language models.
The successful candidate will work in a highly technical environment focusing on backend engineering, AI architecture, and integration to deliver scalable AI solutions.
Perks include a stock purchase plan, medical benefits, and various learning opportunities.
Enterprise AI Engineer — LLM, MCP, Kubernetes (Hybrid) in London employer: EPAM Systems
EPAM Systems is an excellent employer for those looking to thrive in a cutting-edge technical environment. With a strong focus on employee growth, the company offers numerous learning opportunities and benefits such as a stock purchase plan and comprehensive medical coverage. The hybrid working model in London fosters a collaborative work culture that encourages innovation and professional development, making it an ideal place for aspiring Machine Learning Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Engineer — LLM, MCP, Kubernetes (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at EPAM Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, LLMs, and Kubernetes. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on backend engineering concepts and AI architecture. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Enterprise AI Engineer — LLM, MCP, Kubernetes (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and backend engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Enterprise AI Engineer position and how your background makes you a perfect fit for our team at EPAM Systems.
Showcase Your Technical Skills:Since this role is highly technical, be sure to mention your experience with MCP Servers, APIs, and Kubernetes. We love seeing specific examples of how you've used these technologies in past projects!
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!
How to prepare for a job interview at EPAM Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like MCP Servers, APIs, and Kubernetes. Brush up on your knowledge of AI architecture and backend engineering, as these will likely come up during technical questions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving language models or scalable AI solutions. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the enterprise AI program and the team’s goals. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online platforms to practice common interview questions related to machine learning and AI. The more comfortable you are with your responses, the more confident you'll feel during the actual interview.
