MLOps Engineer

Job Overview

Join Booksy as a Senior ML / MLOps Engineer and be part of a global team focused on helping people feel great about themselves every day. This is a foundational role in our new Data Science & Applied AI function, where you'll work closely with Data Scientists to take intelligent systems from prototype to production and maintain their performance once live.

Key Responsibilities

• Own the productionization of machine learning work end to end, including real-time serving against SLAs, standardized CI/CD path to production, GenAI and RAG system deployment, and monitoring infrastructure.


• Work on a GCP-native stack (Vertex AI, BigQuery, dbt, Airflow, and Terraform) on problems that matter from day one.


• Collaborate closely with Data Scientists, Platform, and Engineering teams.


• Act as both a technical owner and an advocate for Data Science needs across the organization.

Required Qualifications

• Track record of putting models into production alongside Data Scientists (classic ML, LLM/GenAI, or both).


• 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.


• Conversational-level English language skills.

Benefits

This is a fully remote position across the UK, Spain, and Poland. We offer a competitive salary, private health cover, life insurance, pension, enhanced parental leave, generous holiday allowance, and access to a global learning and development programme, wellbeing support, and discounts across partner platforms.