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Full Time Ml Net Jobs (NOW HIRING)

Docker

ML Engineer

Palo Alto, CA · On-site

$138K - $225K/yr

... yearsof professional, hands-on, full-time software engineering experience in backend ... Technology stipend equivalent to $100 USD net/month * PTO plan that encourages you to take time to ...

Docker

Staff ML Engineer

Palo Alto, CA · On-site

$205K - $330K/yr

... yearsof professional, hands-on, full-time software engineering experience in backend ... Technology stipend equivalent to $100 USD net/month * PTO plan that encourages you to take time to ...

CEI

Microsoft Dynamics Sales Director

Pittsburgh, PA · On-site +1

W2 Direct Hire / Full Time Compensation : Competitive pay (Salary) | Benefits available ( optional ... This is a front-line, quota-carrying role focused on net-new revenue generation, Microsoft ...

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

As of Jul 14, 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers or AI research directors, which offer compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and often a strong educational background. Such positions are rare and generally found in large tech companies or specialized AI firms.

Is ML a high paying job?

Machine Learning (ML) roles, such as ML engineer or data scientist, are generally considered high-paying jobs due to the specialized skills required, including programming, statistics, and knowledge of ML frameworks. Salaries vary based on experience, location, and industry, but these positions often offer competitive compensation compared to other tech roles.

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.

What engineer makes $500,000 a year?

Senior machine learning engineers or AI specialists with extensive experience, advanced skills in deep learning, and strong domain knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or at top tech companies. Achieving this level often requires advanced degrees, certifications, and a track record of impactful projects.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models, making complete replacement unlikely in the near term. Continuous learning and expertise in programming, data handling, and model deployment remain critical for MLEs' roles.
More about Full Time Ml Net jobs
What are the most commonly searched types of Ml Net jobs? The most popular types of Ml Net jobs are:
What job categories do people searching Full Time Ml Net jobs look for? The top searched job categories for Full Time Ml Net jobs are:
Full Time Ml Net jobs near you
Infographic showing various Full Time Ml Net job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% 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

.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 9 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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