Senior ML Engineer: Cloud-Native AI & Microservices in London

Senior ML Engineer: Cloud-Native AI & Microservices in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
JPMorgan Chase

At a Glance

  • Tasks: Design and deliver secure tech products while working on advanced AI/ML projects.
  • Company: Join JPMorgan Chase, a leader in financial technology with a focus on diversity.
  • Benefits: Enjoy a competitive rewards package, including health care and retirement savings.
  • Other info: Dynamic team environment with opportunities for professional growth and development.
  • Why this job: Be part of innovative projects that shape the future of finance with cutting-edge technology.
  • Qualifications: 3+ years of experience in Python, AWS, and cloud-native solutions required.

The predicted salary is between 60000 - 80000 £ per year.

JPMorgan Chase is looking for a Software Engineer III in Greater London to join their Markets Technology team. In this role, you will design and deliver secure and scalable technology products while collaborating on advanced AI/ML projects.

You are expected to have over 3 years of experience and proficiency in Python, AWS, and cloud-native solutions.

JPMorgan Chase values diversity and inclusion and offers a competitive rewards package including comprehensive health care, retirement savings, and more.

Senior ML Engineer: Cloud-Native AI & Microservices in London employer: JPMorgan Chase

JPMorgan Chase is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets collaboration. With a strong commitment to diversity and inclusion, employees benefit from a competitive rewards package that includes comprehensive health care and retirement savings, alongside ample opportunities for professional growth in cutting-edge AI/ML projects. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of excellence.

JPMorgan Chase

Contact Details:

JPMorgan Chase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer: Cloud-Native AI & Microservices in London

Tip Number 1

Network like a pro! Reach out to current or former employees at JPMorgan Chase on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.

Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your best projects in Python and cloud-native solutions. This is our chance to demonstrate what we can bring to the table beyond just a CV.

Tip Number 3

Ace the interview prep! Research common interview questions for ML Engineers and practice articulating our experience with AWS and AI/ML projects. The more prepared we are, the more confident we'll feel during the actual interview.

Tip Number 4

Apply through our website! It’s the easiest way to ensure our application gets seen. Plus, it shows we’re genuinely interested in joining the team at JPMorgan Chase.

We think you need these skills to ace Senior ML Engineer: Cloud-Native AI & Microservices in London

Python
AWS
Cloud-Native Solutions
AI/ML Projects
Software Design
Scalability
Security in Technology Products

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, AWS, and cloud-native solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at JPMorgan Chase and how your background in AI/ML can contribute to their Markets Technology team. Let us see your passion!

Showcase Your Projects:If you’ve worked on any advanced AI/ML projects, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work 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 a few clicks and you’re done!

How to prepare for a job interview at JPMorgan Chase

Know Your Tech Inside Out

Make sure you brush up on your Python skills and understand AWS thoroughly. Be ready to discuss your previous projects involving cloud-native solutions and how you've tackled challenges in AI/ML. This will show that you're not just familiar with the tech, but that you can apply it effectively.

Showcase Your Collaboration Skills

Since this role involves working with a team, be prepared to share examples of how you've collaborated on projects in the past. Highlight any experience you have in cross-functional teams, especially in delivering secure and scalable technology products.

Understand Their Values

JPMorgan Chase values diversity and inclusion, so it’s important to demonstrate your alignment with these principles. Think about how you can contribute to a diverse workplace and be ready to discuss your thoughts on fostering an inclusive environment.

Prepare Questions That Matter

At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about their AI/ML projects or the technology stack they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.