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Azure Machine Learning Jobs (NOW HIRING)

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 ...

ADDSOURCE

Sr Lead Engineer - I_Azure

Irving, TX · On-site

Skills: - Mandatory skills Min 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing. Hands-on experience with Azure AI Document Intelligence or a ...

ACI Infotech

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 ...

Koch Industries

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre ...

Posted today

Domino's

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and ... Develop and operationalize machine learning and Generative AI solutions that support business ...

New

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI

$100K - $132K/yr

Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and ... Develop and operationalize machine learning and Generative AI solutions that support business ...

New

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 ...

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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.

Sr. Artificial Intelligence & Machine Learning Developer

Ryerson Holding Corporation

Downers Grove, IL • On-site

$131K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Ryerson rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

131st of 419 rated retail wholesalers

Job description

Sr. Artificial Intelligence & Machine Learning Developer
Req Id: 2940
Workplace Type: Hybrid
Job Shift: 1st
Brand: Ryerson
Job Location: Downers Grove
Posting Start Date: 8/14/26
Summary
Welcome to Ryerson, where exceptional career opportunities await. As a leading provider of industrial and OEM metal products and services since 1842, we are committed to excellence and best-in-class customer service. Join our team and be a part of a legacy of excellence, where your contributions will be valued, and your development supported. Ryerson offers a dynamic, quality-focused, environment, ideal for advancing your career and making your mark in the metals industry.
As a Sr. Artificial Intelligence & Machine Learning Developer at Ryerson, you will lead the design, development, and support of AI and machine learning solutions that help improve business processes and decision-making. This role will own key AI/ML platforms, tools, and integrations while helping expand the use of automation, agents, and predictive models across the organization. You will work with business stakeholders to build scalable, secure, and practical AI solutions that deliver measurable value. This position follows a hybrid work schedule, with employees expected to work from the office Tuesday through Thursday each week.
Roles and Responsibilities
  • Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support
  • Build and maintain AI/ML infrastructure, products, models, and agents across business functions
  • Serve as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure services
  • Support agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools
  • Monitor changes in AI/ML technology and recommend tools or capabilities that support business needs
  • Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption
  • Document systems, models, decisions, and processes for technical and business users
  • Partner with stakeholders to define model goals, success measures, timelines, and delivery plans
  • Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements
  • All other duties as assigned or duties, responsibilities, and activities may change at any time with or without notice

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field
  • 4 plus years of experience developing, deploying, and supporting AI/ML applications
  • Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions
  • Experience building and deploying AI/ML models, agents, and algorithms
  • Strong knowledge of MLOps practices, including model versioning, automation, and monitoring
  • Experience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFace
  • Knowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle management
  • Strong organization, communication, and project management skills

Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale.
Ryerson offers eligible employees the following benefits:
  • Medical, dental, and vision insurance programs
  • 401K plans with employer-matching contributions
  • Paid vacation, sick, and holidays

#LI-GC1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex (including gender identity, sexual orientation or preference, and pregnancy), age, national origin, religion, disability or genetic information, marital status, status as a veteran, or any other federal, state or local protected class or artificial barrier.

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