Senior VP AI Platform Engineer – Production ML Ops

Next Frontier Capital; Glasgow; On-site; GBP 150,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a hands-on Platform Engineer at Senior VP level to own the platform, tooling, and infrastructure for production AI/ML services within the IPB Tech AIML team. You will set engineering standards for deployment, scalability, security, and reliability and lead practices that keep services running.

You will mentor engineers, lead cost and performance management, and collaborate across data/AI teams to productionise models, ensuring robust and secure production platforms.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years 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)
• Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)

Responsibilities

• Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
• Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
• Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
• Implements platform-level security, secrets management, and access controls to firm-wide standards
• Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
• Leads capacity, cost, and performance management for the team's compute and inference workloads
• Mentors platform and DevOps engineers and sets engineering standards through design and code review
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Skills

Python

Infrastructure as Code

Kubernetes

Containerisation

CI/CD

MLOps

LLMOps

Observability

Incident Response

Communication

CKAD

Education

Master's degree in Computer Science or related field

Tools

CKAD

Job description

JPMorgan Chase is seeking a hands-on Platform Engineer at Senior VP level to own the platform, tooling, and infrastructure for production AI/ML services within the IPB Tech AIML team. You will set engineering standards for deployment, scalability, security, and reliability and lead practices that keep services running.

You will mentor engineers, lead cost and performance management, and collaborate across data/AI teams to productionise models, ensuring robust and secure production platforms.