Applied AI ML Associate - Agentic AI and Python

JPMorgan Chase & Co.; Auchentibber; On-site; GBP 60,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. in the United Kingdom seeks an Applied AI ML Engineer – Associate to design, develop, and deliver agentic AI and ML products for IPB advisors and clients across international markets.

You will work under senior engineers and the AIML Team Lead to turn well-defined problems into production-quality code. This is an Associate-level role and part of the IPB Tech AIML team, reporting to the AIML Team Lead.

Qualifications

• Formal training or certification in AI/ML engineering concepts.
• Proficiency in Python and modern software engineering practices (testing, version control, code reviews).
• Hands-on experience with ML/LLMs through studies, projects or work.
• Familiarity with AI coding tools as part of the workflow.
• Understanding of CI/CD, containerisation, or cloud-native deployment concepts.
• Ability to communicate technical concepts clearly to teammates and stakeholders.
• BSc in Computer Science, Data Science, Engineering, or a related field.

Responsibilities

• Executes standard software solutions, design, development, and troubleshooting for AI/ML products.
• Builds and tests features of agentic AI, LLM-powered and ML applications under supervision.
• Writes secure, production-quality code and maintains algorithms in sync with systems.
• Contributes to model evaluation, guardrail testing, and observability per Responsible AI standards.
• Participates in agile ceremonies, code reviews, and technical design discussions.
• Gathers and analyzes data to support feature delivery and troubleshooting.
• Learns continuously, using AI coding tools as part of day-to-day development.

Skills

Python

ML engineering

LLMs

Prompt engineering

CI/CD

Cloud concepts

Version control

Data analysis

Communication

Education

BSc in Computer Science, Data Science, Engineering, or related field

Tools

Databricks

Kubernetes

GitHub Copilot

Job description

We're looking for a hands-on AI engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies.

As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop, and deliver components of our agentic AI and machine learning products. Working under the direction of senior engineers and the AIML Team Lead, you will turn well-defined problems into production-quality code, contributing to solutions that support IPB advisors and clients across international markets.

This is an Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products
• Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers
• Writes secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Contributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standards
• Participates in agile ceremonies, code reviews, and technical design discussions
• Gathers, analyses, and draws conclusions from data to support feature delivery and troubleshooting
• Learns continuously, using AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development
• Adds to the team culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML engineering concepts and applied experience
• Proficiency in Python and a working grasp of modern software engineering practices (testing, version control, code review)
• Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks) through study, projects, or work experience
• Familiarity with AI coding tools as part of the development workflow
• Understanding of CI/CD, containerisation, or cloud-native deployment concepts
• Ability to communicate technical concepts clearly to teammates and stakeholders
• BSc in Computer Science, Data Science, Engineering, or a related quantitative field

Preferred qualifications, capabilities, and skills

• Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
• Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)
• Exposure to financial services technology
• Familiarity with Databricks, Kubernetes, or comparable ML / cloud platforms
• Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates