Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)
Core
Build, deploy, and support production-ready machine learning solutions on Azure and Databricks, operationalizing models and managing the end-to-end ML lifecycle.
Role type
MLOps Engineer (IC)
Builds
Production ML pipelines, Databricks Workflows, and model deployment processes
Domain
Cloud (Azure) + Data Engineering + Machine Learning
Deliverable
production ML models
Required skills
Azure Cloud, Databricks, Python, PySpark, SQL, MLflow, CI/CD, Git, model monitoring, model versioning
Preferred skills
Generative AI/LLM frameworks (LangChain, LangGraph, RAG), Unity Catalog, Azure DevOps, GitHub Actions, Docker, Kubernetes, Terraform
Technologies
Azure, Databricks, Python, PySpark, SQL, MLflow, Git, Docker, Kubernetes, Terraform
Responsibilities
Deploy and operationalize ML models; Build and maintain ML/data pipelines; Develop and manage Databricks Workflows and MLflow; Implement CI/CD pipelines; Build monitoring for model performance and data quality; Manage model lifecycle activities; Collaborate with platform, cloud, and DevOps teams
Seniority
Mid-level IC