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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, and mentoring junior team members. Candidates with a strong background in MLOps and Terraform are preferred.
Senior AI/ML Software Engineer - Python, AWS & Kubernetes in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at JPMorgan Chase & Co. Use LinkedIn to connect and engage with their posts. 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 projects in Python, AWS, and Kubernetes. This is your chance to demonstrate your expertise in AI/ML solutions and MLOps. Make sure it’s easy to access and share when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We all know that confidence is key, so get comfortable with your tech stack!
✨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 often have insider tips and updates on new roles that might suit your skills perfectly!
We think you need these skills to ace Senior AI/ML Software Engineer - Python, AWS & Kubernetes in London
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 some technical challenges during the interview. Think about how you would approach real-world problems in banking operations using AI/ML solutions. Practising coding problems or system design scenarios can really help you shine.
✨Demonstrate Leadership and Mentorship
Since this role involves mentoring junior team members, be prepared to share examples of how you've guided others in the past. Highlight your experience in leading projects and fostering a collaborative environment.
✨Research JPMorgan Chase & Co.
Familiarise yourself with the company’s values, recent projects, and their approach to AI/ML. This will not only help you tailor your answers but also show your genuine interest in being part of their team.