Applied AI ML - Associate/VP
Software Engineering, Data Science · Full-time
London, UK
Posted on Sep 3, 2026
We’re looking for an Applied AI Scientist with strong machine learning experience to join our AI Technologies team.
In this role, you’ll help build practical machine learning and generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and 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 systems.
Job 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
Required Qualifications, Capabilities, and Skills:
- STEM degree or equivalent practical experience
- Applied experience with machine learning and deep learning methods
- Proficiency in Python and programming experience in Java, C/C++, or similar languages
- Ability to take ownership of tasks and deliver results with limited supervision
- Strong attention to detail and follow-through
- Effective communication skills and ability to collaborate in a team environment
- Experience working with engineers, product managers, and ML practitioners
Preferred Qualifications, Capabilities, and Skills:
- Experience with large language models, including agents, planning, or reasoning techniques
- Experience building and deploying ML models on cloud platforms
- Familiarity with AWS tools such as SageMaker, EKS, or similar services
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.
You should enjoy learning new techniques, testing what works, and building ML systems that last.
