Senior Python AI/ML Data Platform Engineer (Cloud Native)

Next Frontier Capital; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

J.P. Morgan is seeking a Software Engineer (Python) within the AI/ML Data Platform group in London to help build, enhance and operate trusted data-driven products in a secure, scalable environment.

You will be a core technical contributor, delivering across multiple domains and contributing to robust production solutions. You will collaborate with product managers, data strategy professionals and DevOps to advance AI-assisted engineering practices, improve code quality, and ensure secure,

Qualifications

• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong Python Architecture and Development skills. Must also be familiar with developing solutions in a containerized environment.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Works closely with product managers and data strategy professionals to advance the firm’s agenda in AI for Data
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Job description

J.P. Morgan is seeking a Software Engineer (Python) within the AI/ML Data Platform group in London to help build, enhance and operate trusted data-driven products in a secure, scalable environment.

You will be a core technical contributor, delivering across multiple domains and contributing to robust production solutions. You will collaborate with product managers, data strategy professionals and DevOps to advance AI-assisted engineering practices, improve code quality, and ensure secure,