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Azure Machine Learning Jobs (NOW HIRING)

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview This role is focused on developing, deploying, and optimizing machine learning ...

Perfict

Machine Learning Engineer

Responsibilities : • Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/Client based applications. • ...

1 point system

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 ...

1 point system

.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 ...

1 point system

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.

Lantern

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 ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions. • Experience with Microsoft Azure technologies like ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions. • Experience with Microsoft Azure technologies like ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions. • Experience with Microsoft Azure technologies like ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional machine learning solutions. • Experience with Microsoft Azure technologies like ...

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Azure Machine Learning information

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How much do azure machine learning jobs pay per hour?

As of Sep 8, 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 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 are the key skills and qualifications needed to thrive as an Azure Machine Learning engineer?

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 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.

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What states have the most Azure Machine Learning jobs?

States with the most job openings for Azure Machine Learning jobs include:

What job categories do people searching Azure Machine Learning jobs look for?

The top searched job categories for Azure Machine Learning jobs are:

What other helpful pages are available for Azure Machine Learning?

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Azure Machine Learning jobs near you
Infographic showing various Azure Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $146,601 per year, or $70.5 per hour.

Azure Machine Learning Engineer

Santa Clara, CA • On-site

InterSources Inc
Recruiting and Staffing Services • 51 - 200 employees
Learn more about InterSources Incexternal

$64.50 - $80.25/hr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
InterSources Inc is a Certified Diverse Supplier and Award-Winning Global Software Consultancy that offers innovative solutions for Digital Transformations. The Azure Machine Learning Engineer will design and implement scalable Azure cloud solutions, focusing on AI services and data analytics.
Responsibilities:
• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client platform.
• Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
• Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
• Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks
• Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Highly preferred experience on working with Azure OpenAI services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
Qualifications:
Required:
• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client platform.
• Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
• Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
• Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
• Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
Preferred:
• Highly preferred experience on working with Azure OpenAI services.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Social media

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