Lead AI/ML Software Engineer - Cloud & Data Platforms

JPMorganChase

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Lead Software Engineer within the AI and Machine Learning Data Platforms team in the United Kingdom. You will be a core technical contributor, delivering trusted market-leading technology products in a secure, scalable manner.

You will lead architectural discussions, mentor junior engineers, and drive the adoption of enterprise-authored AI-assisted development practices to improve code quality, delivery speed, and operational outcomes across teams.

Qualifications

  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Demonstrated strength in a cloud-based engineering environment.
  • Advanced Python - additional programming languages a plus.
  • Experience leading use of AI-assisted software development tools with validation of AI outputs.

Responsibilities

  • Executes creative software solutions, design, development, and debugging.
  • Develops secure production code and conducts code reviews.
  • Leads evaluation sessions with vendors and internal teams on architecture and tooling.
  • Provides technical leadership on data projects across engineers, PMs, and stakeholders.
  • Mentors a couple of junior engineers.
  • Drives adoption of AI-assisted engineering practices to improve quality, speed, and reliability.

Skills

Advanced Python
AI-assisted development tools
Cloud-based engineering
CI/CD
Databases / data structures
Agile methodologies
Security / secure coding
Mentoring junior engineers

Tools

CI/CD tools
Cloud platforms
AI-assisted development tools

Job description

JPMorganChase is seeking a Lead Software Engineer within the AI and Machine Learning Data Platforms team in the United Kingdom. You will be a core technical contributor, delivering trusted market-leading technology products in a secure, scalable manner.

You will lead architectural discussions, mentor junior engineers, and drive the adoption of enterprise-authored AI-assisted development practices to improve code quality, delivery speed, and operational outcomes across teams.

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