Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.
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
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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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