Senior Full-Stack ML Platform Engineer, Applied AI

JPMorgan Chase & Co.; United Kingdom; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Mentorship

Mobility opportunities

Job summary

JPMorganChase is seeking a Full Stack Engineer - ML Platform in the Doc AI team to design and deliver production AI architectures at scale. You will bridge software engineering with applied research, contributing to a secure, regulated environment while collaborating with global teams.

The role offers an individual contributor path with potential people leadership opportunities, focusing on robust, enterprise-grade AI solutions across cloud and desktop platforms.

Qualifications

• Degree in computer science, mathematics, or statistics.
• Strong knowledge of Python and software development practices.
• Experience with AWS and Kubernetes and cloud architectures.

Responsibilities

• Design and deliver enterprise-grade machine learning systems.
• Implement distributed, scalable applications.
• Build secure pipelines for cloud systems and ML solutions.
• Apply software engineering and CS best practices.
• Develop data-intensive applications with robust observability.
• Collaborate with cloud and SRE teams to ensure robust production architectures.

Skills

Python

AWS

Kubernetes

Distributed systems

Security

Cloud architecture

CS fundamentals

Business alignment

Education

Computer Science degree

Job description

JPMorganChase is seeking a Full Stack Engineer - ML Platform in the Doc AI team to design and deliver production AI architectures at scale. You will bridge software engineering with applied research, contributing to a secure, regulated environment while collaborating with global teams.

The role offers an individual contributor path with potential people leadership opportunities, focusing on robust, enterprise-grade AI solutions across cloud and desktop platforms.