Senior AI/ML Scientist: Scalable Investment Tools

Aumni

Greater London

On-site

GBP 120,000 - 180,000

Full time

8 days ago

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Job summary

JPMorgan Chase seeks an Applied AI & Machine Learning Senior Associate to build intelligent investor tools within the Asset Management Data Science Team. You will design context-management, develop LLM-powered applications, and create reliable pipelines for enterprise data, collaborating with investment, data science, engineering, product, and control teams.

You will design scalable architectures, implement governance, and deliver observable AI systems while translating complex financial

Qualifications

  • Advanced degree in CS/stat/math/engineering/econometrics or related field.
  • Strong foundation in statistics, probability, experimental design, and ML.
  • Hands-on experience deploying and scaling LLM-powered apps.

Responsibilities

  • Design scalable architecture for LLM-powered investment tools with governance and access control.
  • Build AI apps and workflows using models, retrieval, and tool orchestration with state management.
  • Develop RAG capabilities including ingestion, embeddings, search, and grounded outputs.
  • Create reliable data pipelines transforming enterprise content into high-quality AI inputs.
  • Establish standards for reusable tools and model integrations with testing and docs.
  • Implement end-to-end observability and evaluate AI systems for quality and cost.

Skills

Statistics fundamentals
Python
SQL
LLM development
Prompt design
Knowledge of financial markets
Communication to stakeholders

Education

Master’s degree or PhD in a quantitative field

Tools

LangGraph
Semantic Kernel
LlamaIndex

Job description

JPMorgan Chase seeks an Applied AI & Machine Learning Senior Associate to build intelligent investor tools within the Asset Management Data Science Team. You will design context-management, develop LLM-powered applications, and create reliable pipelines for enterprise data, collaborating with investment, data science, engineering, product, and control teams.

You will design scalable architectures, implement governance, and deliver observable AI systems while translating complex financial

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