MLOps Engineer

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Booksy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

Beauty • Wellness • SaaS

Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

📋 Description

• 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

• 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

• 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.