Lead AI/ML Data Platform Engineer

JPMorganChase; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

J.P. Morgan is seeking a Lead Software Engineer within AMDP (AIML Data Platforms) in Greater London. You will be a core technical contributor delivering trusted market-leading tech products in a secure, scalable way. You will influence design, drive AI-assisted engineering practices, and mentor junior engineers.

You will collaborate with product and data strategy teams, develop high-quality production code, and ensure security and resiliency across the software lifecycle.

Qualifications

• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced Python architecture and development skills, containerized environments.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with non-routine approaches.
• Works with product managers and data strategists to advance AI for data initiatives.
• Develops secure, high-quality production code and reviews peers.
• Leads adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed.
• Applies SDLC tools and AI-assisted development for automation and value.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads evaluation sessions with vendors and teams on architecture and applicability.
• Mentors junior engineers on the team.

Skills

Python

AI-assisted development

CI/CD

Cloud

Security

Containerization

SDLC

Agile

Mentoring

Tools

Docker

Kubernetes

Git

Job description

J.P. Morgan is seeking a Lead Software Engineer within AMDP (AIML Data Platforms) in Greater London. You will be a core technical contributor delivering trusted market-leading tech products in a secure, scalable way. You will influence design, drive AI-assisted engineering practices, and mentor junior engineers.

You will collaborate with product and data strategy teams, develop high-quality production code, and ensure security and resiliency across the software lifecycle.