Senior ML / MLOps Engineer at booksy-1

Setup: Remote - UK
Type: Full-time
Level: Senior
Posted: Jun 22, 2026

Description

Booksy is seeking a Senior ML/MLOps Engineer to join their Data Science & Applied AI function. The role involves taking intelligent systems from prototype to production, owning their end-to-end productionization, and ensuring continuous performance. The engineer will work with a GCP-native stack, collaborating closely with Data Scientists, Platform, and Engineering.

Required Skills

Python
SQL
Vertex AI
Kubeflow pipelines
BigQuery
CI/CD
production-monitoring

Additional Information

Required Previous Experiences: Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments.
Strong Python and SQL skills.
Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery.
Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining.
Preferred Qualifications: Experience with LLM evaluation, observability tooling, or RAG systems in production.
Experience defining MLOps standards across multiple teams.
Exposure to cost and latency management for GenAI systems.