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Full Time Ml Net Jobs (NOW HIRING)

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

Applicants must be currently authorized to work in the United States on a full-time basis. To be ... TensorFlow, PyTorch, ML.NET * Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power ...

woodmenlife

Data and Analytics - AI Engineer II

$117K - $140K/yr

Applicants must be currently authorized to work in the United States on a full-time basis. To be ... TensorFlow, PyTorch, ML.NET * Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power ...

Docker

Staff ML Engineer

Palo Alto, CA · On-site

$205K - $330K/yr

Technology stipend - Equivalent to US$100 net per month to help support your work. * Learning ... Equity for all full-time employees - Share in Docker's long-term success as we continue to grow.

Revolutional, LLC

Senior .NET Developer

Mclean, VA

$115/hr

McLean, VA (hybrid, onsite work required) Terms: Full-time Salary: $115-130k DOE Clearance ... NET. * Write and optimize SQL Server database objects, including T-SQL queries, stored procedures ...

New

United Airlines

ND

$125K - $190K/yr

... Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and ... Required Skills & Experience * 5-6 years of experience in Data, AI/ML, Engineering, Governance or ...

Capgemini

Sustainability Data and AI Consultant

Chicago, IL · On-site

$125K - $190K/yr

... Net-Zero, and climate business outcomes initiatives through data, governance, analytics, and ... Required Skills & Experience * 5-6 years of experience in Data, AI/ML, Engineering, Governance or ...

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Full Time Ml Net information

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How much do full time ml net jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for full time ml net in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $61.30 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ml Net vs Full Time Data Scientist?

AspectFull Time Ml NetFull Time Data Scientist
Required CredentialsBachelor's in CS, Math, or related field; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong programming skills
Work EnvironmentTech companies, startups, research labsTech firms, finance, healthcare, consulting
Industry UsageFocus on machine learning model deployment and developmentBroader data analysis, modeling, and insights generation
Common Search/ComparisonFull Time Ml Net vs Full Time Data Scientist

While both roles involve data and programming, Full Time Ml Net primarily focuses on deploying and maintaining machine learning models, whereas Full Time Data Scientist encompasses a broader scope of data analysis, statistical modeling, and insights generation. The choice depends on whether you prefer specialized ML deployment or broader data analysis tasks.

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Full Time Ml Net jobs near you
Infographic showing various Full Time Ml Net job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $111,761 per year, or $53.7 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 19 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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