Senior Applied AI/ML Associate — Time Series & Production ML

Testing Site - JPMC; Greater London; Hybrid; GBP 85,000 - 110,000; Full time

Job summary

JPMorgan Chase’s Chief Data & Analytics Office seeks an Applied AI ML Senior Associate to apply advanced ML methods to time series, reinforcement learning, causal inference, and NLP. You will collaborate with business, technologists and control partners to deploy production-ready solutions.

The role emphasizes hands-on implementation, rigorous experimentation, and ongoing learning to push innovative AI across the firm’s data-driven initiatives.

Qualifications

• PhD in a quantitative discipline (e.g., Econometrics, Finance, Mathematics, CS, OR).
• Hands-on ML/DL experience and ability to implement models.
• Experience with ML toolkits and practical model evaluation.

Responsibilities

• Research and test new ML methods via independent study and collaboration.
• Develop state-of-the-art ML models for real-world problems including time-series and forecasting.
• Collaborate with Business, Tech, Product, Legal, Compliance to deploy ML solutions.

Skills

Machine learning

Deep learning

Time series

NLP

Experiment design

Big data

Communication

Education

PhD in quantitative discipline

Tools

TensorFlow

PyTorch

NumPy

Pandas

Scikit-Learn

Job description

JPMorgan Chase’s Chief Data & Analytics Office seeks an Applied AI ML Senior Associate to apply advanced ML methods to time series, reinforcement learning, causal inference, and NLP. You will collaborate with business, technologists and control partners to deploy production-ready solutions.

The role emphasizes hands-on implementation, rigorous experimentation, and ongoing learning to push innovative AI across the firm’s data-driven initiatives.