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.
Tech stack
PythonGoogle CloudAWSDockerKubernetesApache Kafka
Match insights
Tech:Python, Google Cloud, AWS, Docker, Kubernetes
Level:Lead