✦ Luna Orbit — AI & Machine Learning

Senior Machine Learning Engineer/ Scientist - Servicing Platform

at Wise

📍 Tallinn Hybrid Posted March 10, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves developing and scaling machine learning and data engineering solutions within Wise’s Servicing tribe, focusing on ML experimentation, tooling, and governance.

  • Develop ML experimentation tools
  • Manage stakeholder expectations
  • Implement ML governance
  • Drive proof-of-concept projects
  • Maintain documentation

The technical environment includes AWS cloud infrastructure, Terraform for infrastructure as code, distributed data processing, and ML model development and deployment pipelines.

The ideal candidate is a senior machine learning engineer with extensive experience in ML experimentation, data engineering, and cloud infrastructure, particularly AWS and Terraform. They are skilled in developing scalable ML solutions and collaborating with cross-functional teams to drive impactful projects.

Machine LearningData EngineeringAWSTerraformML experimentationPython
MLOpsDistributed ProcessingModel MonitoringDisaster RecoveryML Governance
AWSAmazon Web ServicesTerraform
Machine LearningMLData EngineeringMLOpsTerraformAWSAmazon Web ServicesDistributed ProcessingExperimentationModel DevelopmentPythonCI/CDMonitoringAlertingDisaster RecoveryML Governance
Machine LearningMLData EngineeringMLOpsTerraformAWSAmazon Web ServicesDistributed ProcessingExperimentationModel DevelopmentPythonCI/CDMonitoringAlertingDisaster RecoveryML Governance
Stakeholder ManagementPresentationDemoWorkshop FacilitationDocumentationTeam CollaborationImpact-driven Thinking
Industry Fintech
Job Function Design and implement scalable ML and data engineering solutions for Wise’s Servicing platform
Machine LearningMLData EngineeringMLOpsTerraformAWSAmazon Web ServicesDistributed ProcessingExperimentationModel DevelopmentPythonCI/CDMonitoringAlertingDisaster RecoveryML Governance

Lack of experience with AWS or Terraform, No background in ML experimentation or data engineering, Inability to communicate technical concepts effectively

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