Bulge Bracket Investment Banks

Posted a month ago

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**Full-Stack Engineer – ML Platform, Applied AI – Vice President (UK)**: Drive innovation in enterprise AI for banking operations. Design and deliver ML systems, build scalable applications, and deploy secure pipelines. Must have: Python proficiency, broad software stack knowledge, AWS & Kubernetes experience, computer science fundamentals. Preferred: ML eng. experience, mentoring skills, TypeScript proficiency. Join a pioneering team and shape AI scaling in a regulated environment.

Compensation: Not specified
City: Not specified
Country: United Kingdom

Full Job Description

Location: United Kingdom

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.

We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.

#CIBAppliedAI

Design and deliver enterprise AI platforms and autonomous agents that transform secure document workflows at scale.

Full Job Description

Location: United Kingdom

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.

#CIBAppliedAI

Design and deliver enterprise AI platforms and autonomous agents that transform secure document workflows at scale.

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

Full Job Description

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