AI Research Senior Associate - Agents

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 60,000 - 80,000; Full time

Job summary

A major financial services firm in Westminster is seeking a PhD-level candidate with expertise in AI and ML to contribute research and prototypes. The role demands strong programming skills in Python and collaboration with multi-disciplinary teams. Ideal candidates will have a background in statistics and experience with ML platforms like TensorFlow or PyTorch. This opportunity promotes diversity and inclusion, aligning with the company's commitment to equal opportunity.

Qualifications

• PhD in Computer Science, Statistics, Engineering, or related fields.
• Programming skills in Python.
• Proficient understanding of fundamental AI and ML techniques.

Skills

Programming skills in Python

Understanding of AI and ML techniques

Statistical data analysis

Effective communication skills

Team collaboration

Education

PhD in Computer Science or related fields

Tools

TensorFlow

Keras

PyTorch

Job description

data, build prototypes, and communicate research significance. Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents. Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions.

Required Qualifications

• PhD in Computer Science, Statistics, Engineering, or related fields.
• Programming skills in Python.
• Proficient understanding of fundamental AI and ML techniques (e.g., regularization).
• Practical experience with statistical data analysis and experimental design.
• Curiosity, creativity, resourcefulness, and a collaborative spirit.
• Effective verbal and written communication skills with technical and business audiences.
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
• Interest in problems related to the financial services domain.

Preferred Qualifications

• Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals).
• Strong expertise in specialized areas such as deep learning (DL) or AI agents.
• Practical experience with ML platforms such as TensorFlow/Keras, PyTorch.
• Comfort with rapid prototyping and disciplined software development processes.
• Practical software engineering experience in collaborative project settings.
• Hands‑on experience developing and using AI agents in a professional setting.

About Us

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.

About the Team

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.