Senior VP of Applied AI & ML Engineering

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

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.