2026 Machine Learning Center of Excellence Summer Associate - Time Series & Reinforcement Learning Internship - (6 months)
Software Engineering
London, UK
Posted on Jul 17, 2026
The Machine Learning Center of Excellence (MLCOE) is a world-class machine learning team which continually advances state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets.
As a 2026 Machine Learning Center of Excellence Summer Associate within our dynamic team, you will be given the chance to utilize advanced machine learning techniques across a range of intricate domains such as finance, banking, economics, marketing, natural language processing, reinforcement learning, accounting, operations management,
Job responsibilities:
- Create strategically important AI/ML application in the Chief Data & Analytics office. Our work spans across all of J.P. Morgan’s lines of business including Commercial & Investment Bank, Asset Wealth Management, Consumer & Community Banking, and through every part of the organization from front office sales and trading to operations, technology, finance and more.
- Embrace opportunity to explore novel and complex challenges that could profoundly transform how the firm operates.
- Collaborate closely with our MLCOE mentors, business professionals, and technologists, carrying out independent research and providing solutions to the business.
- Demonstrate deep passion for machine learning, robust expertise in deep learning with practical implementation experience, and a dedication to learning, researching, and experimenting with innovations in the field.
Required qualifications, capabilities and skills
- Enrolled in or completed a PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields), or equivalent research/industry experience. Post-doctoral candidates and career changers are also welcome.
- Expected PhD graduation between December 2026 and August 2027, or already graduated.
- Strong background in programming, mathematics, and statistics, including areas such as Stochastic Calculus, Bayesian techniques, State-Space Models, MCMC, and MCTS.
- Published research in machine learning, science, engineering, quantitative psychology, business, or related fields.
- Knowledge and experience in Machine Learning and Reinforcement Learning, along with familiarity with state-of-the-art practices and domains such as Finance, Economics, Accounting, Marketing, or Operations Research.
- Proficiency in Python and experience with machine learning/deep learning frameworks such as TensorFlow, TensorFlow Probability, and JAX.
- Scientific mindset with the ability to design experiments and training frameworks, and define and evaluate model performance metrics aligned to business objectives.
- Ability to develop, debug, and maintain production-quality code, including familiarity with continuous integration and unit testing practices.
- Strong written and verbal communication skills, with the ability to explain technical concepts and results to both technical and business audiences.
- Innovative, curious, hardworking, detail-oriented, and motivated by solving complex analytical problems; able to work independently and in highly collaborative team environments.
- Familiarity with the financial services industry and relevant certifications such as CFA, ACCA, PCAP, or other finance, accounting, programming, software engineering, Coursera, or equivalent professional qualifications.
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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Lead groundbreaking machine learning initiatives, leveraging unique datasets to solve complex financial problems