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- Tasks: Lead AI/ML projects and develop high-quality applications using Python.
- Company: Join the world's largest bank and transform its operations.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in AI/ML while mentoring future tech leaders.
- Qualifications: Strong Python skills and experience with cloud platforms like AWS.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking. You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries.
Job Responsibilities:
- Develop and maintain high-quality applications using Python.
- Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS.
- Design and deploy solutions with MLOps best practices.
- Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems.
- Mentor and guide junior team members, lead initiatives to promote best practices and automation.
- Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.
Required Qualifications, Capabilities and Skills:
- Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts.
- Proven hands-on experience with Python and Kubernetes or ECS.
- Experience with cloud platforms such as AWS.
- Ability to work independently to understand and integrate with other systems within a bank.
- Excellent communication and collaboration skills.
Preferred Qualifications, Capabilities and Skills:
- Practical understanding of MLOPS.
- Hands-on experience with Terraform.
Lead Software Engineer - Applied AI/ML Python Engineer in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Applied AI/ML Python Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI/ML or banking. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets 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 and be ready to discuss how you've integrated AI/ML solutions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks 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 Lead Software Engineer - Applied AI/ML Python Engineer 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 excited about the Lead Software Engineer position and how your background in AI/ML can contribute to our team. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and other teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork at StudySmarter!
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 Inside Out
Make sure you brush up on your Python skills and get familiar with AWS, Kubernetes, and MLOps. 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 closely with Data Scientists and other teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication style and how you ensure everyone is on the same page.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design solutions on the spot. Practice articulating your thought process clearly, especially when it comes to integrating AI/ML solutions and creating robust APIs.
✨Demonstrate Leadership and Mentorship
As a Lead Software Engineer, you'll be expected to guide junior team members. Think of instances where you've mentored others or led initiatives. Be ready to discuss your approach to fostering best practices and promoting automation within a team.
