ZipRecruiter

Log In

1

Azure Machine Learning Jobs (NOW HIRING)

Cambro

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

ESSENTIAL JOB FUNCTIONS • Design and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio to deliver intelligent business applications. • ...

Cambro

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

ESSENTIAL JOB FUNCTIONS Design and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio to deliver intelligent business applications. Build ...

eTeam

Azure AI Engineer

Newark, NJ · On-site

$57.50 - $71.25/hr

Job Summary : eTeam is seeking an Azure AI Engineer to design, build, and deploy intelligent ... Machine Learning, and Microsoft Fabric • Strong focus on Responsible AI and Model Context ...

Accenture

$106.40K - $127.80K/yr

Exposure to Azure AI / Azure Machine Learning / Azure OpenAI is highly valued. Professional Skills * Strong analytical and problem-solving mindset, with the ability to structure ambiguous problems.

SmartIPlace

$117.20K - $140.70K/yr

Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search. * Determine effective data partitioning ...

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Azure SDK: programmed with at least one type of service. * Desire to learn. Must be a quick learner. * Should have at least 1 year of experience in below skills. * AI track. * Machine Learning, Deep ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

... leveraging Azure AI Foundry, Copilot Studio, and modern orchestration frameworks. You will ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Define and execute enterprise-wide AI strategies leveraging Azure AI , Azure OpenAI Service , Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive ...

Cayuse Holdings, LLC

$28 - $30/hr

Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices. Machine Learning Support * Collaboration with ML ...

Deloitte

Azure AI Security Manager

Tampa, FL · On-site

Lead end-to-end security architecture and delivery for Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ...

Deloitte

Azure AI Security Manager

Charlotte, NC · On-site

Lead end-to-end security architecture and delivery for Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ...

Deloitte

Azure AI Security Manager

Los Angeles, CA · On-site

Lead end-to-end security architecture and delivery for Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ...

next page

Showing results 1-20

People also search for

All JobsAzure Machine Learning Jobs

Azure Machine Learning information

See salary details

$10

$70

$96

How much do azure machine learning jobs pay per hour?

As of May 30, 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:
What job categories do people searching Azure Machine Learning jobs look for? The top searched job categories for Azure Machine Learning jobs are:
Azure Machine Learning jobs near you
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.
Senior .NET Azure AI Developer 102156 with Security Clearance

Senior .NET Azure AI Developer 102156 with Security Clearance

Information Technology Engineering Corporation

Woodlawn, MD • On-site

$57.25 - $71/hr

Other

Posted 9 days ago

Job description


Sr. .NET Azure AI Developer 
Location: Woodlawn, MD 
Required Clearance: Public Trust  Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.  U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.  Job Description: We are seeking a talented Senior .NET Azure AI Developer to join our team. In this role, you will design, develop, and maintain scalable software solutions leveraging the Microsoft Azure platform and cutting-edge AI technologies. The ideal candidate will demonstrate deep expertise in C#, NodeJS and possess strong experience with cloud services, AI/Machine Learning concepts, and modern DevOps practices.  Job Responsibilities: * Design, develop, and maintain robust, scalable applications using .NET and ASP.NET Core. * Implement and manage solutions on the Azure platform, including deployment, monitoring, and scaling of applications. * Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services. * Develop and secure RESTful APIs for seamless application integration. * Practice DevOps principles, utilizing Azure DevOps for CI/CD pipelines, version control (Git), and automated testing. * Create and maintain infrastructure as code using Bicep scripts for Azure resource provisioning and management. * Collaborate with cross-functional teams to define, design, and ship new features. 
Required Skills: Programming & Development: * Deep expertise in C# and the .NET framework, including modern features. * Experience with Python or Node.js for application development, data processing, or specific AI tasks. * Experience with client-side technologies and modern front-end frameworks such as Angular or React. * Strong SQL skills, including query optimization and database design. * Experience with commercial development processes, including Agile methodologies (Scrum/Kanban), unit testing, and debugging complex systems. 
Cloud & Infrastructure: * Proficiency in Microsoft Azure services, including App Services, Azure Functions, Blob Storage, and SQL/Cosmos DB. * Hands-on experience with Bicep scripting for infrastructure as code and Azure resource management. * Strong DevOps background with Azure DevOps, CI/CD pipeline development, and automation. * Experience with Kubernetes, Terraform, or other orchestration and infrastructure tools. * Working knowledge of Docker for containerizing and deploying applications. 
AI/ML & Data: * Familiarity with core AI/Machine Learning concepts and hands-on experience using Azure Open AI APIs and tools. * Experience with both relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB).

Apply