Lead Software Engineer - Agentic AI development

J.P. MORGAN; Bournemouth; On-site; GBP 70,000 - 110,000; Full time

Job summary

J.P. Morgan seeks a Lead Software Engineer for its AI and Machine Learning Data Platform Team. You will lead efforts in enhancing ML workflows and developing intelligent agents. The role demands expertise in Python, ML algorithms, and a solid background in NLP and deep learning frameworks.

Qualifications

• Applied machine learning experience required.
• Proficiency in Python and knowledge of C/C++ preferred.
• Solid background in NLP and LLMs is a must.

Responsibilities

• Serve as subject matter expert on ML techniques and optimizations.
• Conduct experiments using latest ML technologies.
• Integrate Generative AI within the ML Platform.

Skills

Machine Learning Techniques

Python

Natural Language Processing

Deep Learning

Model Optimization

Education

MS and/or PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

AWS

MLFlow

Job description

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.

Job responsibilities

• Serve as a subject matter expert on a wide range of ML techniques and optimizations.
• Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conduct experiments using the latest ML technologies, analyze results, and tune models.
• Collaborate with engineering teams to bring experimental results into production solutions, owning end-to-end code development in Python for proof of concept, experimentation, and production-ready solutions.
• Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions.
• Integrate Generative AI within the ML Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with applied machine learning experience.
• Experience in programming languages like Python, Java, C/C++, with intermediate Python proficiency.
• Experience applying data science and 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 like GPU optimization, fine-tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work independently on tasks and projects through to completion.
• Strong attention to detail, excellent communication skills, and a team-oriented mindset.

Preferred qualifications, capabilities, and skills

• Master's degree in computer science, ML, or related areas.
• Experience with Ray, MLFlow, and/or other distributed training frameworks.
• Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• Deep knowledge of LLM techniques, including Agents, Planning, Reasoning.
• Experience deploying ML models on cloud platforms like AWS, Sagemaker, EKS.
• Experience with large-scale MLOps pipelines and deploying models to production.

About Us

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. Our approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We value diversity and inclusion and are an equal opportunity employer. We do not discriminate based on protected attributes and provide accommodations for religious practices, mental health, or physical disabilities. Visit our FAQs for more information about requesting accommodations.

About The Team

Our professionals in Corporate Functions cover areas from finance and risk to human resources and marketing. Our teams are essential for setting up our businesses, clients, customers, and employees for success.