Full-Stack Engineer - ML Platform, Applied AI - Vice President

JPMorganChase; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorganChase seeks a Full Stack Engineer - ML Platform in its DocAI team to design and deliver production architectures for AI-powered products, blending software engineering with applied research to scale enterprise-grade AI securely.

You will collaborate with cloud and SRE teams, contributing to a team culture that values ownership, learning, and impact, with optional people leadership paths.

Qualifications

• Degree in Computer Science, Mathematics, or Statistics.
• Strong knowledge of Python and software engineering principles.
• Broad understanding of frontend/backend, cloud architecture, databases, security and networks.
• Experience with AWS and Kubernetes.
• Ability to develop and deploy business-critical, data-intensive applications.
• Understanding of CS fundamentals and development best practices.
• Ability to align ML problems with business objectives.

Responsibilities

• Design and deliver enterprise-grade machine learning systems.
• Implement distributed, multi-threaded, and scalable applications.
• Build, test, and deploy secure pipelines for cloud systems, desktop apps, and ML solutions.
• Apply software engineering and CS best practices.
• Develop and deploy data-intensive applications.
• Leverage reusable libraries and services across teams.
• Use MLOps tools for versioning, reproducibility, and observability.
• Collaborate with cloud and site reliability teams to build robust production architectures.

Skills

Python

AWS

Kubernetes

Frontend

Backend

Software stack understanding

CS fundamentals

Education

Quantitative degree (CS/Math/Stats)

Tools

Pydantic AI

Langraph

TypeScript

Kubernetes

Job description

Job Description

Drive innovation by designing and delivering enterprise-grade AI solutions that transform banking operations. Join a pioneering team at JPMorganChase where you can build autonomous agents to solve meaningful, complex challenges. You will collaborate with talented teams globally, bridging research and real-world engineering to deliver next-generation solutions. We value your expertise and support your growth through mentorship and mobility. Help shape how AI scales securely in a highly regulated environment.

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.

Job Responsibilities

• 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

Required Qualifications, Capabilities, And Skills

• 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

Preferred Qualifications, Capabilities, And Skills

• 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

Why Join Us?

You will be part of a pioneering team that is transforming banking with AI.

The DocAI team is responsible for building, deploying, and maintaining advanced document processing models and platforms that support colleagues across the firm. The team is currently developing a next-generation AI platform and desktop application that enables users to automate document-centric workflows at enterprise scale, leveraging secure, agentic AI systems capable of processing hundreds of documents per second while operating within one of the world's most demanding and highly regulated environments.

#CIBAppliedAI

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

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.