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Microsoft Machine Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer

Aurora, CO · On-site

$78 - $176/hr

As a machine learning engineer on our space team, you'll train, test, deploy, and maintain models ... Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Microsoft Azure cloud platform * DevOps and/or MLOps practices * Model development, deployment ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat. * Occasional domestic ...

Machine Learning Engineer (Molecular Design) Location: Hybrid - Bay Area, CA We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery ...

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Microsoft Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do microsoft machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for microsoft machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Microsoft Machine Learning Engineer vs Data Scientist?

AspectMicrosoft Machine Learning EngineerData Scientist
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like Azure Data Scientist Associate are commonUsually holds a degree in Statistics, Mathematics, or Data Science; certifications like Certified Data Scientist are beneficial
Work EnvironmentFocuses on developing, deploying, and maintaining machine learning models within Microsoft Azure and related platformsAnalyzes data, builds statistical models, and provides insights across various tools and programming languages
Employer & Industry UsagePrimarily employed by tech companies, especially those using Microsoft Azure; roles are common in AI and cloud servicesFound across industries like finance, healthcare, and tech; roles involve data analysis and predictive modeling

While both roles involve working with data and models, Microsoft Machine Learning Engineers focus on deploying machine learning solutions within Azure, whereas Data Scientists primarily analyze data and develop insights using various tools. The roles often overlap but differ in their core responsibilities and technical focus.

What cities are hiring for Microsoft Machine Learning Engineer jobs?

Cities with the most Microsoft Machine Learning Engineer job openings:

Infographic showing various Microsoft Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Contractor

Re-posted 9 days ago


Job description

Machine Learning Engineer (Azure Focus) - Remote (PST)
[About the Role]
Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.
[Responsibilities]
- Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
- Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
- Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
- Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations
[Required Skills and Experience]
- Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
- Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
- Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
- Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
- Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
- Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support
[Preferred Skills]
- Experience with Azure Databricks, Azure Functions, and Azure Pipelines
- Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
- Strong feature engineering and ML pipeline automation skills
[Benefits]
- 100% remote work-collaborate with a diverse team from anywhere within PST hours
- Opportunity for contract extension and career progression on impactful enterprise AI projects
- Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices
[How to Apply]
Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US