Senior Python AI Backend Engineer in Glasgow

Senior Python AI Backend Engineer in Glasgow

Glasgow Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Build AI-enabled software using Python, APIs, and microservices in a multi-cloud setup.
  • Company: Join JPMorganChase, a leading financial institution with a focus on innovation.
  • Benefits: Enjoy competitive pay, health perks, remote work options, and career development opportunities.
  • Other info: Be part of a dynamic team with excellent growth potential in enterprise-scale projects.
  • Why this job: Dive into hands-on AI engineering and make a real impact in the tech world.
  • Qualifications: Experience in Python development and familiarity with CI/CD pipelines required.

The predicted salary is between 70000 - 90000 Β£ per year.

JPMorgan Chase in Glasgow is seeking a Software Engineer III to build production software with a focus on AI-enabled capabilities.

You will develop Python backends, APIs, and microservices, and implement LLM-driven workflows in a multi-cloud environment using Terraform and Kubernetes.

You will work through the full software lifecycle and contribute to CI/CD pipelines, while ensuring secure data handling and robust observability.

This is a hands-on role in enterprise-scale AI engineering.

#J-18808-Ljbffr

Senior Python AI Backend Engineer in Glasgow employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

We think you need these skills to ace Senior Python AI Backend Engineer in Glasgow

Python
API Development
Microservices
AI-enabled Capabilities
LLM-driven Workflows
Terraform
Kubernetes