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Azure Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

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. • ...

RIT Solutions, Inc.

Data Engineer (763232)

Richmond, VA · On-site

$112K - $134K/yr

The role involves utilizing big data frameworks, training LLMs with structured and unstructured datasets, and implementing Azure machine learning services. Responsibilities : • Strong Data ...

Cognizant

Gen AI Developer/Lead

Washington, DC · On-site

$125 - $150/hr

Job Summary We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong expertise in Python, PySpark, Azure Machine Learning, Generative AI, and Full Stack Development to design ...

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How much do azure machine learning jobs pay per hour?

As of Sep 9, 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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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.

Lead Machine Learning Engineer

Ann Arbor, MI • On-site

Domino's
Food and Beverage Stores • 10K+ employees
Learn more about Domino'sexternal

$100K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,944 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Leads the design, development, and deployment of machine learning models to address moderately complex to complex business challenges. Applies advanced technical expertise and organizational knowledge to independently solve problems that may lack well-defined solutions, ensuring alignment with strategic objectives and operational requirements.
Responsibilities
  • Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives.
  • Provide technical leadership and mentorship to engineers and data scientists.
  • Translate business requirements into scalable, maintainable technical solutions.
  • Promote engineering best practices across software development, MLOps, and cloud-native platforms.
  • Collaborate with cross-functional teams to deliver business value through AI and data-driven solutions.
  • Contribute to the design and evolution of scalable ML/AI architectures and operational processes.
  • Evaluate emerging technologies and recommend opportunities for adoption when appropriate.

Job Tasks
  • Conduct code reviews, design discussions, and technical troubleshooting sessions.
  • Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and containerized services.
  • Build reusable frameworks, APIs, deployment patterns, and automation capabilities.
  • Partner with architects, engineers, and platform teams to deliver secure, scalable, and maintainable solutions.
  • Develop and operationalize machine learning and Generative AI solutions that support business objectives.
  • Integrate AI services, APIs, and enterprise data sources into production applications and workflows.
  • Contribute to model deployment, monitoring, and lifecycle management activities.
  • Participate in Agile ceremonies, technical planning, and solution design reviews.
  • Contribute to shared code repositories through peer reviews, testing, and continuous integration practices.
  • Support production deployments, incident response, troubleshooting, and root cause analysis efforts.

Qualifications
  • 5 to 8 years of professional experience in machine learning engineering or related fields demonstrating mastery of advanced technical skills and independent project leadership.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline; advanced degrees preferred.

Skills
  • Advanced proficiency in machine learning algorithms, model development, and evaluation techniques.
  • Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Ability to independently solve complex problems with limited guidance, leveraging deep organizational and functional knowledge.
  • Effective communication skills, with the ability to articulate technical concepts and collaborate across teams.
  • Experience designing scalable machine learning systems and integrating them into production workflows.

Software Application
  • Microsoft Azure (Azure Container Apps, Azure AI Services, Azure Storage, Azure Key Vault, Azure Monitor, Event Hubs, and related cloud services)
  • Azure Machine Learning for model development, deployment, monitoring, and lifecycle management
  • Databricks for data engineering, machine learning, and large-scale analytics
  • GitHub (GitHub Enterprise, Actions, and repository management) for source control, CI/CD, and DevOps automation
  • Python and associated ML libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy)
  • Containerization and orchestration technologies (Docker, Kubernetes, Azure Container Apps)
  • REST APIs and integration frameworks for connecting AI services, enterprise applications, and data platforms

Additional Information
Location: Must reside in the Ann Arbor area or be willing to relocate
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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