Senior MLOps Engineer — AI/ML Cloud Solutions in London
Senior MLOps Engineer — AI/ML Cloud Solutions

Senior MLOps Engineer — AI/ML Cloud Solutions in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deploy scalable AI/ML solutions to enhance customer experiences.
  • Company: Leading global financial institution with a commitment to innovation.
  • Benefits: Competitive salary, diverse team, and opportunities for professional growth.
  • Why this job: Join a dynamic team and work on cutting-edge generative AI applications.
  • Qualifications: Strong Java and Python skills, plus experience with cloud technologies.
  • Other info: Be part of a diverse team delivering intelligent banking solutions.

The predicted salary is between 43200 - 72000 £ per year.

A leading global financial institution seeks a Software Engineer III to design and deploy scalable AI/ML solutions. You will work collaboratively to enhance customer experiences through innovative technology.

Ideal candidates have:

  • Strong Java and Python skills
  • Experience with cloud technologies
  • A passion for generative AI applications

Join a diverse team committed to delivering intelligent banking solutions.

Senior MLOps Engineer — AI/ML Cloud Solutions in London employer: JPMorganChase

As a Senior MLOps Engineer at our leading global financial institution, you'll be part of a dynamic and inclusive work culture that values innovation and collaboration. We offer competitive benefits, continuous professional development opportunities, and the chance to work on cutting-edge AI/ML projects that enhance customer experiences. Join us in a location that fosters creativity and growth, making your contributions truly impactful in the world of intelligent banking solutions.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior MLOps Engineer — AI/ML Cloud Solutions in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Java and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to MLOps and be ready to discuss your experience with cloud technologies and generative AI applications.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Senior MLOps Engineer — AI/ML Cloud Solutions in London

Java
Python
Cloud Technologies
AI/ML Solutions
Generative AI Applications
Software Design
Scalability
Collaboration
Customer Experience Enhancement
Innovative Technology

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your strong Java and Python skills in your application. We want to see how you can leverage these languages to design and deploy scalable AI/ML solutions.

Cloud Experience is Key: Don’t forget to mention your experience with cloud technologies! We’re looking for someone who can navigate the cloud landscape effortlessly, so share any relevant projects or tools you've used.

Passion for Generative AI: Let your enthusiasm for generative AI applications shine through. We love candidates who are excited about innovative technology, so share any personal projects or insights you have in this area.

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at JPMorganChase

Know Your Tech Stack

Make sure you’re well-versed in Java and Python, as these are crucial for the role. Brush up on your cloud technologies too, as they’ll likely ask you about your experience with deploying AI/ML solutions in a cloud environment.

Showcase Your Projects

Prepare to discuss specific projects where you've implemented AI/ML solutions. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.

Understand Generative AI

Since the job mentions a passion for generative AI applications, be ready to talk about your knowledge in this area. Share any relevant experiences or insights you have, and don’t hesitate to discuss the latest trends and technologies in generative AI.

Collaborative Mindset

This role involves working within a diverse team, so be prepared to discuss how you’ve collaborated with others in past projects. Emphasise your communication skills and your ability to work effectively in a team setting to enhance customer experiences.

Senior MLOps Engineer — AI/ML Cloud Solutions in London
JPMorganChase
Location: London

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