Senior AI Engineering Lead for Production Pipelines

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale.

The role collaborates with engineers, data scientists and product owners, builds data pipelines, and writes secure, high-quality production code while driving architectural improvements and governance across the enterprise.

Qualifications

  • Experience with Python, Golang, and TypeScript in production-grade systems.
  • Hands-on expertise with GPT/LLM/RAG and prompt engineering.
  • Experience in building and debugging code in large corporate environments.
  • Familiarity with CI/CD, security, and resiliency best practices.

Responsibilities

  • Collaborates with engineers, data scientists, and product owners, to deliver products to production.
  • Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation).
  • Writes secure, high-quality production code and reviews and debugs code written by others.
  • Provides technical guidance to support the business and its technical teams and vendors.

Skills

Python
Golang
TypeScript
GPT/LLM/RAG
Prompt Engineering
CI/CD
Agile
Security
APIs/Concurrency

Tools

AWS

Job description

JPMorgan Chase & Co. invites applications for an Applied Innovation Engineering role within the AI/ML group under the CDAO Technology umbrella. The team focuses on machine learning for software, cybersecurity and infrastructure, delivering production-ready solutions at scale.

The role collaborates with engineers, data scientists and product owners, builds data pipelines, and writes secure, high-quality production code while driving architectural improvements and governance across the enterprise.

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