SWE Data/AI Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and proficient applied experience
• Strong hands-on data engineering experience with Databricks and AWS
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in Python
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• Overall knowledge of the Software Development Life Cycle
• Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Experience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions
• Familiarity with enterprise-scale data pipelines and event-driven architectures
• Exposure to audit-ready reporting frameworks or financial data governance practices
• Experience contributing to or leading engineering communities of practice

Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Technologies:

• AI
• AWS
• CI/CD
• Databricks
• Marketing
• Python
• Security
• Cloud
• Support

More:

We are JPMorganChase, a global leader in financial services with a first-class business in a first-class way approach to serving clients. Within our CT AWM Finance platform, we operate at enterprise scale, supporting MIS Finance, Product Controllers, and Regional CFO teams with reliable, audit-ready reporting across approximately 42M accounts, 87M positions, 8M transactions, and 700k manual adjustments. We offer a collaborative corporate functions environment that spans finance, risk, human resources, and marketing, and we value diversity, inclusion, and reasonable accommodations. This is a full-time role.

last updated 36 week of 2026