IT & Software

Head of Engineering

Oscar

London · Greater London · United Kingdom

Overview

In this role you will own the platform architecture and establish a UK engineering function for an AI-enabled financial services platform. You will align the UK team with an overseas engineering group to deliver a secure, multi-tenant system handling sensitive data at scale. You’ll define architecture, coding standards, and security posture while expanding a cross-functional team across ML, frontend/backend, cloud, and security. The opportunity combines enterprise-grade platform work with cutting-edge AI/ML delivery in a regulated domain. You’ll play a pivotal role in shaping how AI is reliably used by investment professionals across the client base.

Responsibilities
  • Own architecture for a multi-tenant enterprise platform
  • Build out and lead the UK engineering function across ML, frontend/backend, cloud, and security
  • Define engineering standards, CI/CD, automated testing, static analysis, code review and release discipline
  • Ensure security posture and regulatory compliance readiness; manage enterprise client security reviews
  • Collaborate with overseas engineering team to scale and align practices
  • Design service boundaries focused on data ownership and separation between core systems and AI/ML components
  • Oversee AI/ML engineering work including agentic workflows, retrieval quality (RAG) and graph-backed retrieval
Key requirements
  • 5+ years of leading engineering teams, across multiple locations
  • Experience owning architecture for a multi-tenant enterprise platform
  • Experience building production LLM or agentic AI systems
  • Track record of raising engineering standards and driving adoption
  • Background in financial services or another regulated industry (plus)
  • Comfort with JVM and Python stacks
  • Understanding of AWS at scale, Kubernetes, and infrastructure as code
  • leadership across locations
  • stakeholder management
  • driving engineering standards
  • JVM
  • Python
  • AWS

Reference: WJ-747_30864917

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