Lead Cloud ML Engineer — Python & AWS AI/ML in London

Lead Cloud ML Engineer — Python & AWS AI/ML in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Engineer and deploy innovative machine learning solutions using AWS and Python.
  • Company: Join JPMorganChase, a leader in tech innovation and finance.
  • Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
  • Other info: Collaborate with Data Scientists and Applied AI/ML teams for career growth.
  • Why this job: Make an impact by integrating AI/ML solutions in a dynamic environment.
  • Qualifications: Bachelor’s degree and proven experience in application development required.

The predicted salary is between 70000 - 90000 £ per year.

JPMorganChase is seeking a Lead Software Engineer with expertise in AWS and Python. This role involves engineering and deploying innovative machine learning solutions in collaboration with Data Scientists and Applied AI/ML teams.

Applicants should have a Bachelor’s degree and proven experience in application development, along with strong problem-solving and communication skills. The position requires experience in cloud services and a passion for continuous learning, encompassing responsibilities that include maintaining secure applications and integrating AIML solutions into processing systems.

Lead Cloud ML Engineer — Python & AWS AI/ML in London employer: JPMorganChase

JPMorganChase is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of cloud-based machine learning. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive environment that encourages continuous learning. Located in a vibrant city, our team enjoys a diverse workplace that values creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in technology.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Cloud ML Engineer — Python & AWS AI/ML in London

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Python. We want to see your innovative machine learning solutions in action, so make it easy for potential employers to see what you can do.

Tip Number 3

Prepare for the interview like it’s the final exam! Research JPMorganChase and their AI/ML initiatives. We suggest practising common technical questions and scenarios related to cloud services to demonstrate your problem-solving skills.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. We’re all about making connections, so don’t hesitate to follow up after applying to show your enthusiasm for the role.

We think you need these skills to ace Lead Cloud ML Engineer — Python & AWS AI/ML in London

AWS
Python
Machine Learning
Application Development
Problem-Solving Skills
Communication Skills
Cloud Services

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AWS and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a perfect fit for our team at StudySmarter. Keep it engaging and personal!

Showcase Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially in cloud services.

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 Inside Out

Make sure you brush up on your AWS and Python skills. Be ready to discuss specific projects where you've implemented machine learning solutions. This shows not only your technical expertise but also your hands-on experience.

Showcase Your Problem-Solving Skills

Prepare examples of challenges you've faced in previous roles, especially those related to cloud services or AI/ML. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking.

Communicate Clearly and Confidently

Since this role involves collaboration with Data Scientists and Applied AI/ML teams, practice explaining complex concepts in simple terms. Good communication can set you apart, so be sure to articulate your thoughts clearly during the interview.

Demonstrate Your Passion for Learning

JPMorganChase values continuous learning, so be prepared to discuss how you stay updated with the latest trends in AI/ML and cloud technologies. Mention any courses, certifications, or personal projects that showcase your commitment to growth in this field.