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Azure Machine Learning Jobs (NOW HIRING)

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

Azure .Net Architect

Plano, TX · On-site

$60.75 - $79.25/hr

Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning. * Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services. * Experience ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache Kafka, * Strong experience in scripting languages (Perl, JavaScript, Shell) * Well versed in ...

Sr. Azure MLOps Engineer

$133.10K - $170.90K/yr

Seattle, WA (Remote - Local Candidates Preferred) Duration: 6-12 Months Plus Must have - • 5 Plus years of Strong expertise in Azure Machine Learning Service (AMLS), Kubernetes (AKS), and MLOps ...

Azure AI Foundry Architect (Remote)

$65 - $84.75/hr

... Machine Learning, Cognitive Search, AKS, Azure Functions, Event Grid, and API Management. • Create architectural blueprints, reusable components, and reference implementations. • Hands‑on ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Microsoft Azure technologies like Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Databricks, Azure SQL Database, and Azure Cognitive Services. * Experience ...

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Azure Machine Learning information

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$10

$70

$96

How much do azure machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for azure machine learning in the United States is $70.48, according to ZipRecruiter salary data. Most workers in this role earn between $61.06 and $79.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Machine Learning Engineer, and why are they important?

To thrive as an Azure Machine Learning Engineer, you need a strong background in data science, programming (Python or R), statistics, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with Azure Machine Learning Studio, cloud platforms, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams are valuable soft skills. These skills ensure effective deployment and management of machine learning solutions that align with business objectives and operate efficiently in cloud environments.

What are the common challenges faced by professionals working with Azure Machine Learning, and how can they be addressed?

Professionals working with Azure Machine Learning often encounter challenges like integrating diverse data sources, managing computational resources efficiently, and ensuring model scalability in production environments. Collaboration with data engineers and DevOps teams is crucial to streamline data pipelines and automate deployment workflows. Staying current with Azure updates and best practices, as well as leveraging built-in tools like ML pipelines and version control, helps address these challenges and improves project outcomes.

What is Azure Machine Learning?

Azure Machine Learning is a cloud-based service provided by Microsoft that enables data scientists and developers to build, train, and deploy machine learning models efficiently. It offers a suite of tools for automating the machine learning lifecycle, including data preparation, model training, and deployment to production environments. Azure Machine Learning supports popular frameworks such as TensorFlow, PyTorch, and scikit-learn, and integrates with other Azure services for scalable and secure solutions.

What is the difference between Azure Machine Learning vs Data Scientist?

AspectAzure Machine LearningData Scientist
Required CredentialsAzure certifications, data science, machine learning skillsStatistics, programming, data analysis degrees
Work EnvironmentCloud platforms, AI/ML projects, collaboration toolsResearch, data analysis, modeling in various settings
Industry UsageTech, finance, healthcare using cloud-based ML solutionsBroad industry application including research and business

Azure Machine Learning specialists focus on deploying and managing ML models on Azure cloud, often requiring cloud certifications. Data Scientists analyze data, build models, and interpret results across industries. While both roles involve machine learning, Azure Machine Learning professionals specialize in cloud-based solutions, whereas Data Scientists focus on data analysis and model development in diverse environments.

More about Azure Machine Learning jobs
What states have the most Azure Machine Learning jobs? States with the most job openings for Azure Machine Learning jobs include:
Infographic showing various Azure Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $146,601 per year, or $70.5 per hour.

Full-time

Posted 15 days ago


Job description

ML Engineer
Preferred location - Seattle USA
Skillsets:
Must have:
Azure Machine Learning - building , training, testing models
Python Programming & associated libraries (scikit learn, PyTorch, TensorFlow etc)
Nice to have:
Understanding of ML algorithms, frameworks and libraries, statistical modeling, and predictive analytics techniques.
Knowledge of open source model repositories like hugging face.
Knowledge of inference runners for evaluating model performance.
Develop and maintain the machine learning system and platform, including training, inference, pipeline orchestration.
Knowledge on Azure ML SDK or the Azure ML Studio.