Sr Lead AI Platform Engineer

Salary: £62,000 - 102,000 per year Requirements Formal training or certification on software engineering concepts and 5+ years of applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container/Kubernetes certification (e.g., CKAD or similar) Masters degree in Computer Science, Engineering, or a related technical field, or equivalent applied experience SRE experience and familiarity with reliability practices (SLOs, error budgets) is preferred Experience within financial services technology is preferred Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure is preferred for internal candidates Responsibilities Design and build our platform, including deployment pipelines, model serving, containerisation, orchestration, and environment management Set the standard for reliability, observability, and operational excellence across our production AI/ML services Build tooling and paved paths that help AI engineers ship agentic AI and ML products safely and quickly Implement platform-level security, secrets management, and access controls to firm-wide standards Partner with data and AI engineers to productionise models and coordinate with external infrastructure functions to reduce operational dependency and risk Lead capacity, cost, and performance management for our compute and inference workloads Mentor platform and DevOps engineers and set engineering standards through design and code review Champion our culture of diversity, opportunity, inclusion, and respect Technologies Agentic AI AI CI/CD Cloud DevOps Kubernetes LLM Machine Learning MLOps Model Serving Python Security Network More We are J.P.

Morgan Chase, a global leader in financial services, serving prominent corporations, governments, wealthy individuals, and institutional investors. Our International Private Bank Technology Artificial Intelligence and Machine Learning team is hiring a Senior VP Platform Engineer to help design and own the platform, tooling, and infrastructure behind our agentic AI and machine learning products.

This is a full-time role based within our Asset & Wealth Management business. We offer a first-class business in a first-class way approach, value long-term client partnerships, and are committed to diversity, inclusion, and equal opportunity, with reasonable accommodations available where needed. last updated 36 week of 2026

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