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Azure Machine Learning Jobs (NOW HIRING)

Marquam Group

Azure AI Apps Architect

Dallas, TX · On-site

$63 - $82.25/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 ...

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 ...

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. • ...

Coca-Cola

Machine Learning Architect II

Atlanta, GA · On-site

Utilize Azure Machine Learning and Microsoft Fabric Data Science to manage the ML lifecycle. Adapt prior experience from other cloud platforms to effectively navigate and optimize our current stack.

Jobgether

$104 - $161/hr

Deploy and support machine learning workloads while assisting with lifecycle management across Azure environments. * Identify deployment challenges, operational bottlenecks, and enhancement ...

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Azure Machine Learning information

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How much do azure machine learning jobs pay per hour?

As of Aug 19, 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.

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $146,601 per year, or $70.5 per hour.

Senior .NET Azure AI Developer - Baltimore, MD

Accenture Federal Services

Baltimore, MD • On-site

$54.75 - $67.75/hr

Full-time

Re-posted 17 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

Job Summary:
Accenture Federal Services is a technology company committed to enhancing the capabilities of the US federal government. They are seeking a Senior .NET Azure AI Developer to design, develop, and maintain applications using .NET and Azure, while integrating AI capabilities and collaborating with cross-functional teams.
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.
• Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services.
• Develop and secure RESTful APIs for application integration.
• Apply DevOps best practices using Azure DevOps for CI/CD pipelines, Git‑based version control, and automated testing.
• Create and maintain Infrastructure‑as‑Code using Bicep for Azure resource provisioning and management.
• Collaborate with cross‑functional teams to define, design, and deliver new features.
Qualifications:
Required:
• US Citizen or Dual citizen (Public Trust eligible)
• 10+ years professional experience
• Deep expertise in C# and .NET framework, including modern language features.
• Strong experience working with Microsoft Azure services (App Services, Azure Functions, Blob Storage, SQL/Cosmos DB).
• Solid understanding of AI/Machine Learning concepts and ability to work with Azure OpenAI, Azure ML, or Cognitive Services.
• Experience developing and maintaining RESTful APIs.
• Strong SQL skills, including performance optimization and database design.
• Experience with modern DevOps practices, CI/CD, and automation using Azure DevOps.
• Working knowledge of Docker for containerization.
• Familiarity with Infrastructure as Code using Bicep.
Preferred:
• Bachelors degree highly desired.
• Experience with Python or Node.js for development, data processing, or AI‑related tasks.
• Background with modern front‑end frameworks such as Angular or React.
• Experience with Kubernetes, Terraform, or similar container orchestration and infrastructure‑management tools.
• Work experience with both relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB)
• Familiarity with Agile methodologies such as Scrum or Kanban, and experience debugging complex systems.
• Microsoft Azure certification
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

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