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Azure Ml Jobs (NOW HIRING)

Yochana IT Solutions Inc

Azure Architect

Indianapolis, IN · On-site

$60.75 - $79/hr

... Azure ML, Power BI, Cortana) - Experience in handling Medium to Large scale transformation / Migration projects - Very good in articulation of Technology landscape to various stakeholders ...

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred Qualifications * Bachelor''s or Master''s degree in Computer Science, AI, Data Science, or related field. * Experience with ...

AMSYS Talent

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

Design, implement, and maintain Azure AI/ML environments * Deploy and manage Azure OpenAI services (GPT models, embeddings, etc.) * Build and optimize Azure ML pipelines, Cognitive Search, and data ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

How you will do it ML Platform Engineering & MLOps (Azure-Focused) * Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

... ML / AI or Any Analytical /Data Science (Python/R/SAS etc.) leveraged solutions o Data Governance Expertise with any of industry leading tools with training/exposure on Azure Purview Exposure to ...

VDart Inc

Azure HDInsight

Orange, CA · On-site

$58.75 - $73/hr

... Azure ML (Must have) Programming languages - Java/Python with experience REST API, Web API knowledge with JavaScript Qualifications Additional Information All your information will be kept ...

VDart Inc

Azure HDInsight

Orange, CA

$58.75 - $73/hr

... and Azure ML (Must have) Programming languages - Java/Python with experience REST API, Web API knowledge with JavaScript Additional Information All your information will be kept confidential ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions * Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms * AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

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How much do azure ml jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for azure ml in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure ML?

An Azure ML job refers to a machine learning task executed within Microsoft Azure Machine Learning, a cloud-based platform for building, training, and deploying ML models. Jobs can include data preprocessing, model training, hyperparameter tuning, and inference deployment. Users can run jobs using compute resources such as Azure Machine Learning compute clusters or virtual machines. Jobs are typically orchestrated using Azure ML Pipelines, SDKs, or Studio for automation and reproducibility.

What does an Azure ML do?

Professionals in Azure ML roles are typically responsible for designing and deploying machine learning models, pre-processing and analyzing large datasets, and monitoring model performance in Azure’s cloud environment. Daily tasks often include writing and optimizing code, integrating services and APIs, automating ML pipelines, and collaborating closely with data scientists, engineers, and business analysts. You may also be involved in troubleshooting production issues, conducting research to improve algorithms, and documenting your workflows. This role requires adaptability and good organizational skills to manage multiple projects in a dynamic, team-oriented setting.

What are the key skills and qualifications needed to thrive in the Azure ML position?

To thrive as an Azure ML professional, you need a strong background in machine learning, data science, and programming (commonly Python or R), often supported by a relevant degree or certifications such as Microsoft Certified: Azure AI Engineer Associate. Experience with Azure Machine Learning Studio, cloud computing environments, workflow orchestration, and automation tools is essential. Effective communication, problem-solving abilities, and a collaborative mindset further distinguish top candidates. These skills are crucial to successfully designing, deploying, and managing scalable AI solutions on Azure's cloud platform while working effectively with data teams and stakeholders.

More about Azure Ml jobs
What cities are hiring for Azure Ml jobs? Cities with the most Azure Ml job openings:
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Azure Ml jobs near you
Infographic showing various Azure Ml job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

.NET MLOps Specialist (ML.NET & Azure ML) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$53.75 - $66.75/hr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Overview:
.NET MLOps Specialist (ML.NET & Azure ML)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a proficient .NET MLOps Specialist to streamline machine learning workflows using ML.NET and Azure ML. This role focuses on integrating MLOps practices with .NET and C# for efficient model deployment and management.
Key Responsibilities
  • Develop machine learning pipelines using ML.NET and C# to train, evaluate, and deploy models.
  • Integrate ML models into production systems with Azure ML for scalable inference and monitoring.
  • Automate model deployment and updates using MLOps practices and CI/CD pipelines with Azure DevOps.
  • Collaborate with data scientists to optimize ML workflows and ensure model accuracy and performance.
  • Manage model versioning, governance, and monitoring within .NET applications.
  • Ensure security and compliance of ML models in production environments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in .NET and C# development with a focus on machine learning and MLOps.
  • Proficiency in building ML pipelines with ML.NET and deploying models using Azure ML.
  • Experience with MLOps practices, including model deployment, monitoring, and CI/CD automation.
  • Strong understanding of integrating ML models into production applications.

Preferred Qualifications
  • Familiarity with Azure DevOps for automating MLOps workflows and pipeline orchestration.
  • Exposure to advanced ML frameworks like TensorFlow or PyTorch for integration with .NET applications.
  • Knowledge of cloud-based data preprocessing tools like Azure Data Factory for ML pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
.NET, ML.NET, Azure ML, MLOps, Model Deployment, DevOps, C#, Machine Learning

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