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For Companies At a Glance
- Tasks: Develop cloud-based frameworks for machine learning models and collaborate with tech teams.
- Company: Leading financial institution in Greater London with a focus on innovation.
- Benefits: Competitive salary, continuous learning opportunities, and a dynamic work environment.
- Why this job: Join a cutting-edge team and contribute to impactful AI/ML projects.
- Qualifications: Degree in a relevant field and hands-on experience in Python and AWS.
- Other info: Great opportunities for career growth and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial institution in Greater London is seeking a Software Engineer II with a strong background in AWS and Python to work within the Applied AI/ML group. The role involves developing cloud-based frameworks for machine learning models and collaborating with technical teams to ensure efficient deployment of solutions.
Candidates should possess a relevant degree and hands-on experience in software development, particularly in Python and cloud services. This position offers opportunities to embrace continuous learning and contribute to innovative projects.
Cloud ML Engineer (Python/AWS) – Production‐Ready AI in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud ML Engineer (Python/AWS) – Production‐Ready AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the 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 Cloud ML Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AWS work you've done. We want to see your hands-on experience, so make sure it’s easy for potential employers to find your best work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with machine learning models. We suggest practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you into that role where you can thrive in AI and ML!
We think you need these skills to ace Cloud ML Engineer (Python/AWS) – Production‐Ready AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cloud-based ML projects, make sure to mention them! We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and creativity.
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 J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working with technical teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you ensure everyone is on the same page during projects.
✨Prepare for Technical Questions
Expect some technical questions related to cloud-based frameworks and machine learning models. Review common algorithms and deployment strategies, and be ready to explain your thought process when solving problems.
✨Emphasise Continuous Learning
This position values continuous learning, so be sure to mention any recent courses, certifications, or personal projects that demonstrate your commitment to staying updated in the field of AI and ML.
