Applied AI/ML Scientist — Build & Deploy Production Systems

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking an Applied AI Scientist to join our AI Technologies team.

You will build practical ML and generative AI solutions that move from experimentation into production, collaborating with product owners, data engineers, software engineers, and other ML practitioners to deploy AI/ML capabilities at scale. This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable

Qualifications

• STEM degree or equivalent practical experience.
• Applied experience with machine learning and deep learning methods.
• Ability to take ownership of tasks and deliver results with limited supervision.

Responsibilities

• Apply machine learning, deep learning, and generative AI techniques to business problems.
• Design, run, and evaluate ML experiments using current tools and frameworks.
• Work with large language models, AI agents, and related methods to enhance ML workflows.
• Write production-quality code and own solutions from proof of concept to deployment.
• Improve model accuracy, reliability, and performance by identifying optimization opportunities.
• Partner with product and engineering teams to build scalable and maintainable solutions.
• Contribute technical expertise to model design and platform implementation decisions.
• Share knowledge and help elevate the technical standard of our ML work.

Skills

ML & DL

Python

Java/C++

Ownership

Communication

Education

STEM degree or equivalent

Tools

AWS SageMaker

Cloud deployment

Job description

JPMorgan Chase & Co. in London is seeking an Applied AI Scientist to join our AI Technologies team.

You will build practical ML and generative AI solutions that move from experimentation into production, collaborating with product owners, data engineers, software engineers, and other ML practitioners to deploy AI/ML capabilities at scale. This is a hands-on role for someone who enjoys solving technical problems, writing code, experimenting with new approaches, and turning ideas into reliable