Lead AI/ML Software Engineer (Python)

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase in the United Kingdom seeks a senior software engineer to lead design, development, and operational stability within AI/ML data platforms. You will influence architectural decisions, drive secure production code, and mentor engineers in a fast-paced financial services environment.

You will champion enterprise AI practices, validate AI outputs for accuracy and security, and partner with product managers to deliver high-impact data-driven solutions across the organization.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Demonstrable strength in a cloud-based engineering environment.
• Advanced Python; additional programming languages are a plus.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools within delivery practices.
• Proficient in all aspects of the Software Development Life Cycle
• Good understanding of databases and data structures
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
• In-depth knowledge of the financial services industry and its IT systems
• Practical cloud-native experience

Responsibilities

• Execute creative software solutions, including design, development, and technical troubleshooting, using approaches that go beyond routine or conventional methods.
• Develop secure, high-quality production code and review and debug code written by others.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture.
• Provide technical leadership on data projects across engineers, product managers, and stakeholders.
• Mentor and guide junior engineers.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish consistent validation standards, including secure coding, peer review, and automated testing.
• Promote reuse of effective patterns across the team.
• Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems

Skills

Python

CI/CD

Cloud

AI tooling

Security

SDLC

Data structures

Databases

Agile

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrable strength in a cloud-based engineering environment
• Advanced Python; additional programming languages are a plus
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
• Experience coaching engineers on safe, compliant adoption of AI-assisted tools within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Good understanding of databases and data structures
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
• In-depth knowledge of the financial services industry and its IT systems
• Practical cloud-native experience

Responsibilities:

• Execute creative software solutions, including design, development, and technical troubleshooting, using approaches that go beyond routine or conventional methods
• Develop secure, high-quality production code and review and debug code written by others
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within existing systems and information architecture
• Provide technical leadership on data projects across engineers, product managers, and stakeholders
• Mentor and guide junior engineers
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Establish consistent validation standards, including secure coding, peer review, and automated testing
• Promote reuse of effective patterns across the team
• Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems

Technologies:

• AI
• CI/CD
• Cloud
• Machine Learning
• Marketing
• Python
• Security
• Support

More:

We are JPMorganChase, a global leader in financial services providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. We take a first-class business in a first-class way approach to serving clients and build trusted, long-term partnerships to help our clients achieve their business objectives. Our people are our strength, and we value diversity and inclusion across our global workforce. We are an equal opportunity employer and provide reasonable accommodations for religious practices, beliefs, mental health, and physical disability needs. Our Corporate Functions teams span areas including finance, risk, human resources, and marketing, supporting our businesses, clients, customers, and employees for success. This is a full-time role in our AI and Machine Learning Data Platforms team.

last updated 37 week of 2026