Machine Learning / MLOps Engineer
Core
Deploying, monitoring, and scaling machine learning systems into production using Google Cloud Platform.
Role type
MLOps Engineer
Builds
Scalable, low-latency prediction endpoints and CI/CD/CT pipelines for ML workflows.
Domain
US Data team operationalizing ML models for Bet365 on Google Cloud Platform.
Deliverable
production ML models
Required skills
Python, Google Cloud Platform (GCP), Vertex AI, Docker, Kubernetes, Terraform, API design, automated testing, CI/CD automation
Preferred skills
GKE, Apache Kafka, GCP Pub/Sub, real-time streaming platforms
Technologies
Vertex AI Pipelines, Cloud Build, Model Monitoring, GKE, Kafka, Pub/Sub
Responsibilities
Deploy ML models to production using Vertex AI; design and maintain CI/CD/CT pipelines; set up automated monitoring for data drift and model drift; promote software engineering practices across the Data Science team; collaborate with Data Science and AgentOps teams to speed up deployment cycles.
Seniority
Mid-level, hands-on IC
