Machine Learning Engineering & Applied AI ML Lead - Vice President

Next Frontier Capital; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

J.P. Morgan is seeking a Machine Learning Engineer to design and deliver production-grade AI solutions, bridging software engineering and research to scale enterprise applications.

You will collaborate with cloud and SRE teams to build robust architectures, mentor teammates, and translate research into business-ready ML systems across a highly secure enterprise environment.

This role offers opportunities for career growth and impactful work shaping banking operations.

Qualifications

• Experience in ML engineering roles.
• Degree in a quantitative discipline (CS, Math, Stats).
• Proven ability to develop and deploy business-critical, data-intensive applications.
• Extensive experience with AWS and Kubernetes.
• Proficiency with PyTorch and NumPy.
• Hands-on experience implementing distributed, multi-threaded, scalable applications.
• Experience with automated build, test, and deployment pipelines.
• Familiarity with Pydantic AI and Langraph.
• Strong CS fundamentals and development best practices.
• Broad knowledge of MLOps tooling for versioning, reproducibility, and observability.
• Ability to align ML definitions with business objectives.

Responsibilities

• Design and deliver enterprise-grade machine learning systems.
• Collaborate with cloud and SRE teams to build robust production architectures.
• Translate scientific research into scalable ML solutions.
• Develop and deploy business-critical, data-intensive applications.
• Implement distributed, multi-threaded, and scalable applications.
• Build, test, and deploy automated pipelines for ML solutions.
• Leverage foundational libraries and services for reuse across teams.
• Apply best practices in software engineering and CS.

Skills

ML engineering experience

Software development

Align ML with business objectives

Distributed systems

Education

Bachelor's degree in Computer Science, Mathematics, Statistics

Tools

AWS

Kubernetes

PyTorch

NumPy

Pydantic AI

Langraph

Job description

Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.

We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.

As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.

Job Responsibilities:

• Design and deliver enterprise-grade machine learning systems
• Collaborate with cloud and SRE teams to build robust production architectures
• Translate scientific research into scalable ML solutions
• Develop and deploy business-critical, data-intensive applications
• Implement distributed, multi-threaded, and scalable applications
• Build, test, and deploy automated pipelines for ML solutions
• Leverage foundational libraries and services for re-use across teams
• Apply best practices in software engineering and computer science
• Utilize MLOps tools for versioning, reproducibility, and observability
• Align ML problem definitions with business objectives
• Mentor and support team members, with optional management responsibilities

Required Qualifications, Capabilities, and Skills:

• Experience in machine learning engineering roles
• Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
• Proven ability to develop and deploy business-critical, data-intensive applications
• Extensive experience with AWS and Kubernetes
• Proficiency with lower-level libraries such as PyTorch and NumPy
• Hands-on experience implementing distributed, multi-threaded, and scalable applications
• Experience with automated building, testing, and deployment pipelines
• Familiarity with higher-level interfaces like Pydantic AI and Langraph
• Strong understanding of computer science fundamentals and development best practices
• Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
• Ability to understand business objectives and align ML problem definitions

Preferred Qualifications, Capabilities, and Skills:

• Experience mentoring or leading teams
• Knowledge of agentic AI concepts
• Experience designing reusable libraries and services
• Interest in bridging scientific theory and 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. 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.

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.

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. Drive innovation by designing and delivering enterprise-grade AI solutions that transform banking operations.