About this role
Salary: £62,000 - 102,000 per year
Requirements: Formal training or certification in software engineering concepts and expert applied experienceAdvanced proficiency in Python and modern software engineering practices, including testing, design patterns, code review, and version controlFluent 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 themHands-on experience building, evaluating, and deploying machine learning models into productionPractical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworksDemonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systemsStrong communication skills and confidence engaging senior business stakeholders and translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions for complex technology problems across multiple technical disciplinesMSc in Computer Science, Data Science, Engineering, or a related quantitative fieldPreferred: postgraduate-level qualification in data science, artificial intelligence, or machine learningPreferred: practical experience with CI/CD, containerization, and cloud-native deployment patternsPreferred: experience within financial services technology, particularly wealth, private banking, or asset managementPreferred: experience with Databricks, Kubernetes, or comparable ML / cloud platformsPreferred: 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 impactLead the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globeSet the engineering quality bar for the teams AI products through code reviews, technical design, and pairing with peers and junior engineersEstablish and operate Responsible AI controls in production, including guardrails, evaluation frameworks, observability, and model risk controls to firm-wide standardsAct as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreamsRepresent the AIML team in firm-wide AI/ML governance and engineering forums, ensuring cross-border, regulatory, and data-privacy considerations are reflected in solution designContribute to the teams GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and internsChampion the firms culture of diversity, opportunity, inclusion, and respect Technologies: Agentic AIAICI/CDClaude CodeCloudCopilotDatabricksFine-tuningGitHubKubernetesLLMMachine LearningNetworkPythonRAG 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