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- Tasks: Lead innovative software solutions in AI/ML for a global financial leader.
- Company: Join J.P. Morgan, a top player in financial services with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact with cutting-edge technology in a dynamic, agile environment.
- Qualifications: 5+ years in software engineering with strong Python skills and cloud experience.
- Other info: Collaborate with diverse teams and drive the future of financial technology.
The predicted salary is between 43200 - 72000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Applied AI/ML team, you are an integral part of an agile team that works and delivers trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high‑quality production code, and reviews and debugs code written by others.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Leads sessions with internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and on‑prem/cloud architecture.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Extensive experience in building and running AWS/public cloud based applications.
- Solid programming skills with Python.
- Hands‑on practical experience delivering system design, application development, testing, and operational stability.
- Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle.
- Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning).
- In‑depth knowledge of the financial services industry and their IT system.
Preferred qualifications, capabilities, and skills:
- Experience in leading a small team of engineers as tech lead and manager.
- Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development.
- Familiarity with AWS databases and AWS services such as S3, ECS, SageMaker, and Bedrock.
- Practical experience with Kubernetes, EKS, Docker, Kinesis, MLOps and Large Language Model Operations (LLMOps).
- Experience working on AIML systems and/or prior experience collaborating with data scientists.
Senior Lead Software Engineering - Applied AI ML employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineering - Applied AI ML
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing practical applications of your skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Senior Lead Software Engineering - Applied AI ML
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Lead Software Engineering role. Highlight your experience with AWS, Python, and any relevant AI/ML projects. We want to see how your skills align with what we’re looking for!
Showcase Your Achievements: Don’t just list your responsibilities; share your accomplishments! Use specific examples of how you’ve solved problems or improved processes in your previous roles. This helps us understand the impact you can bring to our team.
Be Authentic: Let your personality shine through in your application. We value diversity and inclusion, so don’t hesitate to share what makes you unique. This is your chance to show us who you are beyond your technical skills!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and machine learning concepts. Brush up on your coding skills and be ready to discuss your past projects where you’ve applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Think about how you approached the issue, the solutions you implemented, and the outcomes. This will demonstrate your ability to think creatively and lead technical discussions.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how technology plays a role in it. Be prepared to discuss how your technical skills can support the firm’s business objectives and improve operational stability.
✨Emphasise Team Collaboration
Since this role involves leading teams and driving community practices, be ready to share your experiences in team settings. Highlight how you fostered inclusion and respect within your teams, and how you’ve collaborated with data scientists or other engineers in the past.
