Lead AI/ML Data Platform Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 100,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the AMDP (AIML Data Platforms) group to advance trusted, scalable technology across business functions.

You will design, implement, and review secure software solutions while guiding a team toward best practices in AI-assisted engineering. The role emphasizes collaboration with product managers, data strategists, and external partners, with a focus on high-quality code, operational stability, and continuous learning in a fast-paced

Qualifications

• Hands-on experience delivering system design, development, testing, and operations.
• Advanced Python development in containerized environments.
• Experience leading the use of approved AI-assisted coding and testing tools.
• Strong understanding of responsible AI use, data sensitivity, security, and resiliency.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Works with product managers and data strategy teams on AI for Data.
• Develops secure, high-quality production code and reviews others' code.
• Drives enterprise AI engineering practices to improve quality, speed, and stability.
• Applies SDLC tools and AI-assisted automation to boost value and reuse.
• Identifies and automates recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Mentors junior engineers in the team.

Skills

Python development

Containerization

AI-assisted tooling

Security best practices

SDLC proficiency

CI/CD

Cloud native

Mentoring

Tools

Docker

CI/CD tooling

AI-assisted dev tools

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the AMDP (AIML Data Platforms) group to advance trusted, scalable technology across business functions.

You will design, implement, and review secure software solutions while guiding a team toward best practices in AI-assisted engineering. The role emphasizes collaboration with product managers, data strategists, and external partners, with a focus on high-quality code, operational stability, and continuous learning in a fast-paced