Azure Machine Learning
Azure's managed ML platform, with native MLflow tracking and Entra ID integration.
Azure Machine Learning organizes work in workspaces: notebooks and managed compute, AutoML and a drag-and-drop designer, jobs and pipelines defined in YAML or the Python SDK, MLflow-native tracking and model registry, then managed online and batch endpoints with blue-green deployment. It relies on Entra ID for identities and roles, on Azure DevOps or GitHub Actions for MLOps, and on Azure OpenAI and the Azure AI Foundry catalog for generative AI. It's our choice when the client's IT is standardized on Microsoft.
What Azure Machine Learning brings to your project.
Typical use cases: ML inside a Microsoft IT estate, governed MLOps, forecasting and scoring, predictive maintenance.
- 01
MLflow-native tracking and registry: existing MLflow code works as is.
- 02
AutoML and visual designer to prototype, SDK and YAML to industrialize.
- 03
Managed online and batch endpoints, blue-green deployment and traffic splitting.
- 04
Entra ID, RBAC, private networking and Azure DevOps: MLOps that fits corporate IT.
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.
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us.
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A project with Azure Machine Learning?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
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Describe your project and we'll get back to you with a costed estimate and a roadmap.