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Lead Software Engineer - Agentic AI development

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.
Bournemouth, UK
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Finance

Description For Lead Software Engineer - Agentic AI development

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.

You will serve as a subject matter expert on ML techniques and optimizations, providing in-depth knowledge of ML algorithms, frameworks, and techniques. Your role involves enhancing ML workflows through advanced proficiency in large language models (LLMs) and conducting experiments using the latest ML technologies. You'll be responsible for hands-on coding to bring experimental results into production solutions and optimizing system accuracy and performance.

The position requires strong expertise in Python programming, deep learning frameworks, and advanced ML areas such as GPU optimization, fine-tuning, embedding models, and RAG. You'll work with cutting-edge AI technologies and be part of a team that's pushing the boundaries of what's possible with machine learning in a financial services context.

We're looking for someone with a strong academic background in Computer Science or Machine Learning, combined with practical experience in applying ML techniques to solve real business problems. The ideal candidate will have deep understanding of NLP and LLMs, along with experience in deploying ML models in production environments.

At JPMorgan Chase, you'll be part of a global leader in financial services, working with the latest AI technologies while contributing to solutions that impact millions of customers worldwide. We offer a collaborative environment where you can grow your career while working on challenging and meaningful projects.

Last updated a day ago

Responsibilities For Lead Software Engineer - Agentic AI development

  • Serves as a subject matter expert on ML techniques and optimizations
  • Provides in-depth knowledge of ML algorithms, frameworks, and techniques
  • Enhances ML workflows through advanced proficiency in large language models (LLMs)
  • Conducts experiments using latest ML technologies, analyzing results, tuning models
  • Provides hands on coding to bring experimental results into production solutions
  • Optimizes system accuracy and performance
  • Integrates Generative AI within the ML Platform

Requirements For Lead Software Engineer - Agentic AI development

Python
  • MS and/or PhD in Computer Science, Machine Learning, or related field
  • Experience in Python, Java, C/C++, etc. Intermediate Python is a must
  • Experience in applying data science, ML techniques to solve business problems
  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods
  • Deep understanding of deep learning frameworks such as PyTorch or TensorFlow
  • Experience in advanced applied ML areas
  • Excellent communication skills and team player

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