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Azure Ml Engineer Jobs (NOW HIRING)

Northern Base

Azure AI/ML Engineer

Bellevue, WA · Remote

Azure ML Roles & Responsibilities An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems.

New

USM

JB061920 - AI/ML Engineer

$80K/yr

Deploy and maintain AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud ... Strong programming skills in Python, R, or similar languages. * Hands-on experience with cloud ...

InterSources Inc

Azure ML/AI Architect

Santa Clara, CA · On-site

$74.50 - $97.25/hr

They are seeking an Azure ML/AI Architect to design and develop AI applications on Azure cloud and ... DevOps architects/engineers and project managers. • Documentation and Knowledge Sharing:

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following ... Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or ...

SiloSmashers

Testing not a real job 1

Alexandria, VA · On-site

Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions. * Deploy and maintain models on Azure (Azure ML, Azure Databricks, and ...

SiloSmashers

Testing not a real job

Alexandria, VA · On-site

Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions.Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or ...

Techvilla Solutions

ML Ops Engineer

Muskego, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Fox Point, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

Greendale, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

Techvilla Solutions

ML Ops Engineer

New Berlin, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with AWS, Azure, or GCP. * Strong knowledge of Docker and Kubernetes. * Experience with ...

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Azure Ml Engineer information

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$39K

$101.8K

$137.5K

How much do azure ml engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for azure ml engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Azure Ml Engineer vs Data Scientist?

AspectAzure Ml EngineerData Scientist
Required CredentialsAzure certifications, programming skills, machine learning knowledgeStatistics, programming, data analysis, often with advanced degrees
Work EnvironmentCloud platforms, Azure services, deployment pipelinesData analysis, modeling, research environments, often using Python/R
Employer & Industry UsageTech companies, enterprises leveraging Azure cloudResearch institutions, tech firms, finance, healthcare

Azure Ml Engineers focus on deploying and managing machine learning models within Azure cloud environments, emphasizing cloud infrastructure and deployment. Data Scientists primarily analyze data, develop models, and generate insights, often working in research or analytical settings. While both roles require strong programming and ML knowledge, Azure Ml Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and model development.

Are Azure ML engineers still in demand?

Azure ML engineers are currently in high demand due to the growing adoption of cloud-based machine learning solutions and the need for expertise in Azure services, data modeling, and deployment. Organizations seek professionals with skills in Azure Machine Learning Studio, Python, and related tools to develop and manage AI models efficiently.

What is the salary of an Azure ML engineer?

The salary of an Azure ML engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those in high-demand areas may offer higher compensation, especially for professionals with strong skills in machine learning, cloud platforms, and data engineering.

What cities are hiring for Azure Ml Engineer jobs?

Cities with the most Azure Ml Engineer job openings:

What states have the most Azure Ml Engineer jobs?

States with the most job openings for Azure Ml Engineer jobs include:

What are popular job titles related to Azure Ml Engineer jobs?

For Azure Ml Engineer jobs, the most frequently searched job titles are:

Azure Ml Engineer jobs near you

Azure AI/ML Engineer

Bellevue, WA • Remote

Northern Base
See more jobs at Northern Baseexternal

Full-time

Posted yesterday

New

Job description

Job Description
Must Have Technical/Functional Skills
Azure; Core .NET Technologies; Azure ML
 
Roles & Responsibilities
An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems.
Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services).
Microsoft SFI knowledge and experience in creating secure ML infrastructure aligned with enterprise security standards.
Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access.
Good to have AI engineering skills as team is building custom co pilots and intelligent agents.
 
Generic Managerial Skills, If any
Open AI; DevOps