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Azure Ml Jobs (NOW HIRING)

Build and operationalize machine learning workflows using Azure ML Studio| including data preparation| training| and inference support. Develop robust Python-based data processing and analytics ...

AI Architect

$65 - $84.75/hr

... Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential Key ...

ML Azure

Dallas, TX · On-site

$58.50 - $76.50/hr

Platform infrastructure engineer, managing cloud resources, configure AZURE resources to run, monitor and scale up applications running on top of cloud infrastructure (ML background is good to have ...

Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or Azure ML. * Experience with version control (Git) and containerization tools like Docker and Kubernetes.

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... platforms (Azure| AWS| GCP) • Establish and maintain CI/CD pipelines| model versioning ... Required : • Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn ...

Orchestrate ML workflows using Azure ML * Integrate AI-powered capabilities using LangChain and JavaScript-based AI libraries * Collaborate with data scientists and ML engineers to operationalize AI ...

Build, fine-tune, and operationalize AI/ML models to support integration scenarios such as: * EDI ... Azure Logic Apps (EDI & B2B connectors) * Azure API Management * Azure Service Bus * Azure ...

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How much do azure ml jobs pay per hour?

As of Jun 13, 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 job?

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 are some typical daily tasks and responsibilities for someone working in an Azure ML role?

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 is the salary of Azure ML engineer?

The average salary of an Azure ML engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Professionals with skills in machine learning, cloud computing, and Azure services tend to earn higher salaries.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Azure ML Engineer, are generally considered high-paying within the tech industry due to the specialized skills required in data analysis, programming, and cloud platforms. Salaries vary based on experience, location, and certifications, but ML jobs tend to offer above-average compensation compared to many other IT roles.

Is Azure a high paying job?

Azure Machine Learning (Azure ML) professionals typically earn competitive salaries due to the specialized skills required in cloud computing, data science, and AI. Salaries vary based on experience, location, and certifications, but roles in Azure ML are generally well-compensated within the tech industry.

What can you do with Azure ML?

Azure ML is a platform for data scientists and machine learning engineers to build, train, and deploy machine learning models. It offers tools for data preparation, model development, and automation, supporting various programming languages and frameworks. Users can leverage cloud-based compute resources and integrate with other Azure services for scalable AI solutions.

What are the key skills and qualifications needed to thrive in the Azure Ml position, and why are they important?

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:
What are the most commonly searched types of Azure Ml jobs? The most popular types of Azure Ml jobs are:
What states have the most Azure Ml jobs? States with the most job openings for Azure Ml jobs include:
Infographic showing various Azure Ml job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

AI Engineer (.NET, Azure, Oracle DB)

1 point system

New York, NY • Remote

Contractor

Posted 6 days ago


Job description

Required Skills & Qualifications

  • Strong experience in .NET / C# / ASP.NET Core
  • Hands-on experience with Microsoft Azure services (Azure ML, App Services, Functions, Storage, etc.)
  • Solid experience with Oracle Database (PL/SQL, query optimization, schema design)
  • Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET)
  • Experience in building and consuming REST APIs
  • Familiarity with microservices architecture
  • Understanding of DevOps practices and CI/CD pipelines
  • Good problem-solving and analytical skills