MLOps Engineer

Booksy

Senior ML / MLOps Engineer at Booksy working with Data Scientists on intelligent systems from prototype to production. Owning the end-to-end productionisation of machine learning work.

Posted 6/22/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move.
You'll work on a GCP-native stack — Vertex AI, BigQuery, dbt, Airflow, and Terraform — on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next.
You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation.

Requirements

What you’ll need

A 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 — or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast
Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining
At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication.

Benefits

Comp & perks

This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team.
Competitive salary plus bonus.
Private health cover, life insurance, pension, and enhanced parental leave — with specifics tailored to your location.
A generous holiday allowance plus public holidays.
Access to a global learning and development programme, wellbeing support, and discounts across partner platforms.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningreal-time servingCI/CDPythonSQLGCPVertex AIBigQuerydrift detectionautomated retraining

Soft Skills

collaborationadvocacycommunication