Senior AI/ML Data Platforms Engineer

JPMorganChase

Greater London

On-site

GBP 90,000 - 140,000

Full time

2 days ago
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Job summary

J.P. Morgan is seeking a hands-on software engineer to design, develop, and operationalize AI-enabled software solutions. You will work with product managers and data strategy to advance the firm's AI for data agenda and deliver secure, production-grade code.

You will lead and participate in code reviews, champion CI/CD, cloud-native practices, and ensure resilience and security across the SDLC while adopting enterprise AI-assisted engineering tools.

Qualifications

  • Hands-on experience delivering system design, development, testing, and operational stability.
  • Strong Python architecture and development skills; containerized environments.
  • Experience leading AI-assisted development tools with validation for correctness, performance, and security.
  • Proficient in SDLC and agile methodologies including CI/CD, resiliency, and security.
  • Practical cloud native experience.

Responsibilities

  • Executes creative software solutions and troubleshooting, thinking beyond routine approaches.
  • Collaborates with product managers and data strategy to advance AI for Data.
  • Develops secure, production-grade code and reviews code written by others.
  • Drives adoption of enterprise AI-assisted engineering practices to improve quality and speed.
  • Identifies opportunities to automate remediation and improve operational stability.

Skills

Python
Containerization
AI-assisted tools
CI/CD
Security
Cloud native
SDLC
Agile

Tools

AWS Neptune
Gen AI frameworks

Job description

J.P. Morgan is seeking a hands-on software engineer to design, develop, and operationalize AI-enabled software solutions. You will work with product managers and data strategy to advance the firm's AI for data agenda and deliver secure, production-grade code.

You will lead and participate in code reviews, champion CI/CD, cloud-native practices, and ensure resilience and security across the SDLC while adopting enterprise AI-assisted engineering tools.

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