VP, Machine Learning Engineering & Applied AI Lead

Key responsibilities

• Lead machine learning engineering and applied AI delivery across business lines in the London region
• Drive end-to-end ML model development, deployment, and productionisation at enterprise scale
• Partner with the Chief Data and Analytics Office to align ML engineering with firm-wide AI strategy
• Navigate regulatory, governance, and risk frameworks inherent to deploying AI in a major financial institution
• Build and develop high-performing ML engineering teams and talent pipelines

Requirements

• Deep hands-on machine learning engineering expertise with track record of production AI/ML systems
• Senior leadership experience managing ML or applied AI teams at scale
• Ability to operate within complex regulatory and compliance environments (financial services preferred)
• Strong stakeholder communication skills — translating technical ML concepts for business audiences

Signals

• ⚠ No salary disclosed
• ⚠ Job description body is empty — scope and responsibilities must be inferred from context
• ⚠ VP title at JPMC carries variable seniority; actual authority level is unclear without org context
• ✓ Part of a coordinated, multi-role senior AI hiring surge across London, Glasgow, and APAC — signals serious organisational commitment
• ✓ Dedicated Chief Data and Analytics Office provides institutional backing and clear AI mandate
• ✓ JPMorganChase is one of the largest AI spenders in financial services globally
• ✓ London location places this role at the centre of JPMC's EMEA AI delivery hub

Company history