Senior Software Engineer β€” AI/ML Data Platform in Glasgow

Senior Software Engineer β€” AI/ML Data Platform in Glasgow

Glasgow Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Design and develop cutting-edge software for AI/ML and Data Platforms.
  • Company: Join JPMorganChase, a leader in tech innovation and finance.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
  • Other info: Be part of a dynamic team with great career growth potential.
  • Why this job: Make an impact in AI/ML while working with top-notch tech and teams.
  • Qualifications: Experience in software engineering and a passion for secure coding.

The predicted salary is between 60000 - 80000 Β£ per year.

JPMorgan Chase in Glasgow seeks a Software Engineer III to advance trusted, scalable tech in the AI/ML and Data Platform space.

You will design, develop, and troubleshoot production-grade software while collaborating with data science and engineering teams to optimize deployments and security.

The role emphasizes secure coding, automated testing, and responsible AI use, with a strong focus on CI/CD, resilience, and platform reliability.

A dynamic, cross-functional team environment awaits.

#J-18808-Ljbffr

Senior Software Engineer β€” AI/ML Data Platform 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 Software Engineer β€” AI/ML Data Platform in Glasgow

Software Development
AI/ML Technologies
Production-Grade Software Design
Troubleshooting
Collaboration with Data Science Teams
Optimisation of Deployments
Security Best Practices