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# Full-Stack Engineer - ML Platform

- **Company:** J.p. Morgan's Commercial & Investment Bank
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Software Applications, Big Data, Cloud Engineering, Databases, Python (Programming Language), Machine Learning, Network Configuration and Change Management, Reliability Engineering, Software Engineering, TypeScript, Management of Software Versions, AI Platforms, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** October 23, 2026
- **Apply:** https://www.themuse.com/jobs/jpmorganchase/fullstack-engineer-ml-platform-applied-ai-vice-president

## About the Role

* Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
 * Strong knowledge of and hands-on experience with Python
 * Broad understanding of the software stack, including front end, back end, cloud architecture, messaging and queue systems, databases, security, and network configurations
 * Experience with AWS and Kubernetes
 * Ability to develop and deploy business-critical, data-intensive applications
 * Strong understanding of computer science fundamentals and development best practices
 * Ability to understand business objectives and align machine learning problem definitions accordingly, * Experience in machine learning engineering roles
 * Familiarity with higher-level interfaces such as Pydantic AI and Langraph
 * Proficiency in TypeScript
 * Experience mentoring others or leading teams
 * Experience designing reusable libraries and services
 * Interest in bridging scientific theory with enterprise-grade systems
 * Passion for innovation and continuous learning

## Description

As a Full Stack Engineer - ML Platform, Applied AI in the Doc AI team within Commercial and Investment Banking, you will design and deliver production architectures for AI-powered products and services. You will work at the intersection of software engineering and applied research to translate innovative ideas into scalable, enterprise-grade solutions. You will collaborate closely with cloud and site reliability engineering teams to build robust, secure systems. You will contribute to a team culture that values ownership, learning, and impact. Depending on your interests and experience, the role offers flexibility for an individual contributor path and optional people leadership opportunities., * Design and deliver enterprise-grade machine learning systems

 * Implement distributed, multi-threaded, and scalable applications
 * Build, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutions
 * Apply software engineering and computer science best practices
 * Develop and deploy business-critical, data-intensive applications
 * Leverage foundational libraries and services for reuse across teams
 * Utilize MLOps tools for versioning, reproducibility, and observability
 * Collaborate with cloud and site reliability engineering teams to build robust production architectures, J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.