Skip to content
ComplyAdvantage logo

Principal Machine Learning Engineer

ComplyAdvantageRegulatory Technology company
London, United KingdomLead
Data & AI

About the role

Lead the engineering build-out of ML and agentic AI platforms.

  • Lead the engineering build-out of ML and agentic AI across AML/KYC and Fraud platform.
  • Key Responsibilities Architectural Leadership: Lead the architectural design and implementation of MLOps and agentic AI platforms.
  • Strategic Execution: Translate ML and agentic AI roadmaps into scalable engineering deliverables.
  • Engineering Rigor: Set the engineering bar for code quality and operational standards.
  • Advanced AI Implementation: Lead the end-to-end engineering build-out of AI systems.
  • Requirements Substantial experience in building and productionising machine learning models at scale.
  • Deep production Python experience and strong software engineering fundamentals.
  • Strong mathematical and statistical foundations.
  • Experience with cloud (GCP and AWS), containerised infrastructure, event brokers, and modern data engineering workflows.
  • Excellent written and verbal communication skills.
View original posting →

Tech stack

PythonGoogle CloudAWSDockerKubernetesApache Kafka

Match insights

Tech:Python, Google Cloud, AWS, Docker, Kubernetes
Level:Lead

More roles at ComplyAdvantage

View open roles at ComplyAdvantage