Job Opportunities API

Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their "me time" moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale — you'll feel right at home. The people you'll like to work with and the impact you'll enjoy driving: As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function — working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. 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 Essentially, to ensure you succeed in this role you're going to 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. It will also help you 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 Benefits Benefits Some of the benefits we offer are: This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary 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. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role — but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application — it won't affect your chances in any way. If y