MLOps Engineer in London

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.

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.

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:

• 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.

Our Diversity and Inclusion Commitment: We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us so we can best support you.

Kindly submit your application and CV in English to ensure it is successfully reviewed.