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For Companies At a Glance
- Tasks: Lead AI/ML projects, develop robust APIs, and mentor junior engineers.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Transform banking operations with cutting-edge AI/ML technology.
- Qualifications: Experience in Python, Kubernetes, and cloud platforms like AWS.
- Other info: Dynamic team environment with a focus on diversity and inclusion.
The predicted salary is between 48000 - 72000 £ 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.
- Proven hands-on experience with infrastructure-as-code tools such as Terraform or equivalent.
- 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.
Lead Software Engineer - Applied AI/ML Python Engineer in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan 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, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI, and cloud solutions. We recommend using GitHub to share your code and demonstrate your expertise. It’s a great way to catch the eye of recruiters!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI/ML. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a straightforward way to ensure your application gets noticed 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 reflects the skills and experiences that match the Lead Software Engineer role. Highlight your Python expertise, cloud experience, and any MLOps knowledge to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI/ML and how you can contribute to our team. Share specific examples of your past projects and how they relate to the job description.
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and other teams, emphasise your teamwork and communication skills in your application. We love seeing candidates who can work well with others!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Kubernetes, and AWS. Brush up on your knowledge of MLOps and infrastructure-as-code tools like Terraform. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Collaboration Skills
Since this 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 any mentoring experiences too, as they’ll want to see your leadership potential.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific challenges, such as integrating AI/ML solutions or ensuring system reliability. Think through some scenarios beforehand and be ready to explain your thought process and decision-making.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in AI/ML or how they measure success in the team. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
