Applied AI ML Engineer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Bournemouth, Dorset, United Kingdom
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $194k
$147k most similar roles pay here $244k

This listing doesn't post a salary. Most similar roles pay $163,496–$225,400.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Applied AI ML Engineer

As a Senior Associate in the Applied AI/ML team, you will assist customers in building and deploying models and agents across various frameworks while ensuring secure deployment practices. Your day-to-day responsibilities include implementing observability for AI/ML systems, optimizing large-scale data processing pipelines using distributed computing tools like Ray or Spark, and leveraging coding assistants to enhance engineering efficiency. You will also develop robust technical documentation and runbooks to support repeatable delivery processes. The role requires hands-on experience with AI/ML products, familiarity with observability platforms, strong software engineering skills, and the ability to integrate AI/ML into production systems securely. Preferred candidates have experience in responsible AI governance and lifecycle controls within a financial services context, emphasizing secure-by-design practices and environment separation.

What you'll do

  • Assist customers in building and deploying models and agents across multiple frameworks.
  • Implement and operate AI/ML observability for experimentation management and monitoring.
  • Build large-scale data processing pipelines using distributed computing technologies like Ray or Spark.
  • Develop AI/ML systems using coding assistants to enhance engineering efficiency.
  • Ensure secure deployment of AI/ML services with access controls and environment separation.

What we're looking for

  • Hands-on experience in building and deploying models and agents across multiple frameworks.
  • Expertise in implementing observability for AI/ML systems including experimentation management and monitoring.
  • Proficiency in large-scale data processing using distributed computing technologies like Ray or Spark.
  • Strong software engineering background with skills in clean coding, testing, and API/service development.
  • Experience in secure deployment practices for AI/ML services, ensuring access controls and environment separation.
  • Ability to translate technical requirements into practical engineering solutions with clear documentation.

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