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Ml Net Jobs (NOW HIRING)

1 point system

.NET Architect

Sacramento, CA · On-site

NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong communication skills to present ideas and solutions, with ...

1 point system

Azure .Net Architect

Plano, TX · On-site

$60.75 - $79.25/hr

Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong ...

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong communication skills to present ideas and solutions, with ...

1 point system

Solution Architect

Plano, TX · On-site

$60.25 - $79.50/hr

NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong communication skills to present ideas and solutions, with ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

NET and ML.NET. * Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent. * Soft Skills: Strong communication skills to present ideas and solutions, with ...

Auctane

Full Stack Software Engineer

Austin, TX

Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms. * Exceptional communication skills ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

TensorFlow, PyTorch, ML.NET * Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power Platform * Data Platforms: Snowflake (preferred), SQL Server, Fabric Projects & Initiatives * Advancing ...

Auctane

Full Stack Software Engineer

Austin, TX · On-site

Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms. * Exceptional communication skills ...

Tennr

ML Infrastructure Engineer

New York, NY · On-site

$190K - $230K/yr

... productization of net new capabilities. You'll make impactful contributions and influence ... Architect, design, and implement ML software systems for deploying and managing models at scale.

Agr International, Inc.

Senior Software Engineer

Butler, PA

$110K - $145K/yr

Experience with machine learning frameworks such as ML.NET, TensorFlow, PyTorch, or machine vision frameworks such as OpenCV * Experience with source control workflows such as mercurial or Git ...

New

Dragos, Inc.

Staff ML Application Engineer

Hanover, MD · Remote

$225K/yr

Familiarity with scikit-learn and the surrounding Python ML ecosystem; you don't need to have implemented a neural net, but you should know how to use one responsibly. * Solid understanding of data ...

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How much do ml net jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for 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 an ML.NET job?

An ML.NET job typically involves developing and deploying machine learning models using Microsoft's ML.NET framework. Professionals in this role work with .NET applications, integrating ML capabilities into software solutions. They often preprocess data, train models, and optimize performance for real-world applications. Experience with C#, .NET, and data science principles is usually required.

Is ML.NET better than Python?

ML.NET is a machine learning framework designed for .NET developers to build and integrate ML models using C# or F#. Python is a widely used programming language with extensive libraries like TensorFlow and scikit-learn for machine learning. The choice depends on the development environment and project requirements, with Python generally offering more flexibility and a larger ecosystem for data science and ML tasks.

What are the typical responsibilities of an ML .NET Engineer on a development team?

As an ML .NET Engineer, your primary responsibilities include designing, building, and integrating machine learning models within the .NET framework, often using ML.NET and related Microsoft technologies. You will collaborate closely with software developers, data engineers, and product managers to ensure models are production-ready, scalable, and aligned with business needs. Daily tasks may involve data preprocessing, model training and evaluation, optimizing performance, and maintaining model pipelines. In many organizations, ML .NET Engineers also contribute to code reviews, mentoring, and continuous improvement initiatives focused on machine learning best practices.

Is .NET developer a good career?

.NET developers are in demand due to the widespread use of Microsoft technologies in enterprise applications. The role typically requires proficiency in C# and related tools, and offers opportunities for career growth in software development, system architecture, and cloud integration. Job stability and salary potential are generally favorable for skilled .NET developers.

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

To thrive as an ML .NET (Machine Learning .NET) Engineer, a strong background in machine learning concepts, C# programming, and the Microsoft .NET ecosystem is essential, often backed by a degree in computer science or related fields. Experience with ML.NET, Azure Machine Learning, and version control systems like Git is highly valued, and certifications in Microsoft technologies can be advantageous. Problem-solving, analytical thinking, and the ability to communicate complex technical concepts to non-technical stakeholders are valuable soft skills for success in this role. These skills and qualities are critical for effectively developing, deploying, and maintaining robust machine learning solutions within .NET environments.

Which 5 jobs will survive AI?

For ML Net professionals, roles that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include data scientists, AI ethics specialists, machine learning engineers, cybersecurity analysts, and AI product managers. These jobs often require advanced technical skills, domain expertise, and adaptability to evolving technologies.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions in technology.
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Ml Net jobs near you
Infographic showing various Ml Net job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% 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

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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