Applied AI ML Lead - Agentic AI & Python

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification in software engineering concepts and expert applied experience
• Advanced proficiency in Python and modern software engineering practices, including testing, design patterns, code review, and version control
• Fluent with AI coding tools such as Claude Code and GitHub Copilot as part of day-to-day software development, with sound judgment on when to use them
• Hands-on experience building, evaluating, and deploying machine learning models into production
• Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworks
• Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems
• Strong communication skills and confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences
• Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines
• MSc in Computer Science, Data Science, Engineering, or a related quantitative field
• Preferred: postgraduate-level qualification in data science, artificial intelligence, or machine learning
• Preferred: practical experience with CI/CD, containerization, and cloud-native deployment patterns
• Preferred: experience within financial services technology, particularly wealth, private banking, or asset management
• Preferred: experience with Databricks, Kubernetes, or comparable ML / cloud platforms
• Preferred: experience designing or contributing to AI governance, model validation, or guardrail frameworks

Responsibilities:

• Own end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact
• Lead the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe
• Set the engineering quality bar for the teams AI products through code reviews, technical design, and pairing with peers and junior engineers
• Establish and operate Responsible AI controls in production, including guardrails, evaluation frameworks, observability, and model risk controls to firm-wide standards
• Act as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams
• Represent the AIML team in firm-wide AI/ML governance and engineering forums, ensuring cross-border, regulatory, and data-privacy considerations are reflected in solution design
• Contribute to the teams GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
• Champion the firms culture of diversity, opportunity, inclusion, and respect

Technologies:

• Agentic AI
• AI
• CI/CD
• Claude Code
• Cloud
• Copilot
• Databricks
• Fine-tuning
• GitHub
• Kubernetes
• LLM
• Machine Learning
• Network
• Python
• RAG

More:

We are J.P. Morgan Chase, a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Within our International Private Bank Technology Artificial Intelligence and Machine Learning team, we build trusted, market-leading AI products in a secure, stable, and scalable way, with a focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. We value diversity and inclusion, offer reasonable accommodations where needed, and operate within our Asset & Wealth Management business, which delivers investment management and private banking solutions through our global network. This is a full-time role.

last updated 36 week of 2026