MLOps Engineer

Booksy is the world's leading hair & beauty app that connects clients with beauty professionals, helping them manage their businesses by automating everyday tasks.

• Track record of putting models into production alongside Data Scientists, including classic ML and LLM/GenAI.
• 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 with Vertex AI, Kubeflow pipelines, and BigQuery, or strong fluency on an equivalent cloud with ability to transition to Vertex AI.
• Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining.
• Conversational-level English language skills (English is the company language).

Nice to have:

• 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.

• Own the productionisation of machine learning work end to end, including real-time serving against SLAs, standardized CI/CD paths to production, GenAI and RAG system deployment, and monitoring infrastructure.
• Collaborate closely with Data Scientists, Platform, and Engineering teams.
• Act as a technical owner and advocate for Data Science needs across the organization.

• This is a fully remote position across the UK, Spain, and Poland.
• English language proficiency is required; applications and CVs must be submitted in English.
• Commitment to diversity and inclusion with support for accessibility needs during the interview process.