Maritime risk intelligence, vessel tracking and security alerting platform
Pole Star Global builds maritime intelligence products covering vessel monitoring, sanctions screening and security risk. Its stack pairs geospatial tooling (PostGIS, QGIS) with a full ML toolkit (PyTorch, TensorFlow, SageMaker, Databricks) on AWS, pointing to model-driven threat detection over vessel data. Accelerating hiring tilts toward operations and security analysts, matching active work on real-time alerts and daily intelligence briefs.
Pole Star Global is a London-headquartered, privately held maritime intelligence company with 51–200 employees. It serves governments, defense bodies, financial markets, commodity traders, ship owners and ports. Its offerings span fleet management, ship tracking, LRIT data centre and conformance testing services, maritime domain awareness, sanctions screening, environmental compliance and counter-piracy. The business runs on AWS with PostgreSQL, Spark and Databricks for data processing, and uses HubSpot and Salesforce for commercial operations. Current hiring is concentrated in the United Kingdom.
Pole Star Global runs on AWS (Glue, EMR, Athena, RDS, SageMaker) with PostgreSQL/PostGIS, Python, Spark and Databricks, ML libraries like PyTorch and TensorFlow, and Tableau and QuickSight for analytics.
Yes, hiring is accelerating, focused on operations, sales and security roles at mid and junior levels, all based in the United Kingdom.
Current work includes real-time maritime security alerts, route risk reporting, daily intelligence briefs, risk assessments and incident summaries for maritime stakeholders.
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Pole Star Global's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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