Software Engineer III - AI Engineering

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an AI/ML Software Engineer to deliver production-grade AI/ML solutions. You will transform business requirements into technical specs, define milestones, and ensure timely delivery within an Agile framework.

You will build secure, high-quality code and develop architecture artifacts for complex systems. This role involves creating visualizations from large, diverse datasets, exploring emerging technologies, and contributing to engineering communities.

Qualifications

• Hands-on practitioner developing production AI/ML solutions.
• Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT.
• Strong knowledge of machine learning and artificial intelligence concepts.
• Knowledge of data structures, algorithms, and statistics.

Responsibilities

• Deliver AI/ML projects through the ML development life cycle using Agile methodology.
• Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
• Execute solutions, design, development, and technical troubleshooting with innovative approaches.
• Create secure, high-quality production code and maintain algorithms that run with systems.
• Produce architecture and design artifacts for complex applications and ensure constraints are met.
• Gather, analyze, and visualize data to produce reporting from large datasets.
• Identify hidden problems and patterns in data to improve coding hygiene and architecture.
• Contribute to software engineering communities and events exploring emerging technologies.

Skills

Python programming

Machine learning

AI/ML

Distributed computation

CI/CD

Education

Formal training or certification in software engineering concepts

Tools

Tensorflow

Pytorch

pyG

Keras

MXNet

Scikit-Learn

Job description

As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements into technical specifications, define milestones, and ensure timely delivery. You will create secure, high-quality production code and maintain algorithms that integrate seamlessly with our systems. Your role includes producing architecture and design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies.

• Deliver AI/ML projects through the ML development life cycle using Agile methodology
• Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery
• Execute solutions, design, development, and technical troubleshooting with innovative approaches
• Create secure and high-quality production code, maintaining algorithms that run synchronously with systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
• Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
• Contribute to software engineering communities of practice and events exploring new and emerging technologies
• Formal training or certification in software engineering concepts
• Experience as a hands-on practitioner developing production AI/ML solutions
• Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT
• Deep knowledge and experience in machine learning and artificial intelligence
• Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis
• Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
• Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn
• Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars
• Familiarity with AWS Cloud services such as EMR, Sagemaker
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies including CI/CD, application resiliency, and security

Preferred Qualifications, Capabilities, and Skills

• Exposure to cloud technologies
• Join us to shape the future of technology through AI and machine learning. You will have the opportunity to deliver projects that make a real difference, collaborate with talented teams, and grow your expertise in cutting-edge frameworks. We value your creativity and technical skills, empowering you to solve complex challenges. At JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter., 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 first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.