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- Tasks: Transform banking with AI/ML solutions and develop robust APIs.
- Company: Join JPMorgan Chase & Co., a leader in financial innovation.
- Benefits: Competitive salary, health benefits, and opportunities for mentorship.
- Other info: Dynamic team environment with excellent career growth potential.
- Why this job: Make a real impact in banking by integrating cutting-edge technology.
- Qualifications: Proven experience in Python, AWS, Kubernetes, and MLOps preferred.
The predicted salary is between 80000 - 100000 £ per year.
JPMorgan Chase & Co. is seeking a Lead Software Engineer to join their Applied Artificial Intelligence and Machine Learning team in Greater London. This role focuses on transforming banking operations by integrating AI/ML solutions and developing robust APIs and services.
The ideal candidate will have proven experience in Python, Kubernetes, and AWS. Responsibilities include:
- Developing applications
- Architecting cloud solutions
- Mentoring junior team members
Candidates with a strong background in MLOps and Terraform are preferred.
Senior AI/ML Software Engineer - Python, AWS & Kubernetes employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Software Engineer - Python, AWS & Kubernetes
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, AWS solutions, and Kubernetes deployments. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on MLOps and Terraform. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior AI/ML Software Engineer - Python, AWS & Kubernetes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and Kubernetes. 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 you can contribute to transforming banking operations. Let us know what excites you about this opportunity!
Showcase Your MLOps Knowledge: If you’ve got experience with MLOps and Terraform, make sure to mention it! We’re keen on candidates who can bring that expertise to the table, so don’t hold back on sharing your insights.
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 Jpmorgan Chase & Co.
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, AWS, and Kubernetes. Brush up on your knowledge of MLOps and Terraform too, as these are key areas for the role. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle technical challenges during the interview. Think of examples where you've solved complex problems using AI/ML solutions. This will demonstrate your ability to think critically and apply your skills effectively.
✨Highlight Your Mentoring Experience
Since mentoring junior team members is part of the role, be prepared to share your experiences in guiding others. Discuss how you’ve helped colleagues grow their skills and how you approach teaching complex concepts.
✨Understand the Company’s Vision
Research JPMorgan Chase & Co.'s initiatives in AI and ML. Knowing their goals and how your role fits into their strategy will show your genuine interest and help you align your answers with their objectives.