MLOps Engineer

Segment

REMOTE · OXFORD · US

$46K–$78K

Full-time

SENIOR

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About the Role

Booksy is hiring a Senior ML/MLOps Engineer to be a foundational member of its new Data Science & Applied AI function. You will productionise ML and GenAI/RAG systems end-to-end on a GCP-native stack with real-time serving, CI/CD, and robust monitoring. This is a fully remote role open to candidates across the UK, Spain, and Poland.

Responsibilities

Own productionisation of ML work end to end: real-time serving against SLAs, standardised CI/CD to production, and GenAI/RAG deployment.
Build monitoring infrastructure for drift detection and quality degradation.
Collaborate with Data Scientists, Platform, and Engineering to shape the ML platform and function.

Requirements

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 with Vertex AI, Kubeflow Pipelines, and BigQuery (or strong equivalent cloud fluency).
Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining.
Conversational English language skills.

Segment

San Francisco · US · 197+ employees

Twilio Segment is a customer data platform (CDP) that helps companies harness first-party customer data by standardizing data collection, unifying user records, and routing data into various systems. It was acquired by Twilio in 2020.

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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.