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Mlops Machine Learning Engineer Jobs in Madison, WI

EM Key Solutions Inc

AI Engineer

Oregon, WI · On-site

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Paradigm

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

CFS

AI Engineer

Madison, WI · On-site

$195K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

CFS

AI Engineer

Madison, WI · Remote

$195K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Kforce Technology Staffing

Lead Data Engineer

Madison, WI · On-site

$103K - $136K/yr

Establish data engineering standards, best practices, and architectural patterns * Conduct code ... Partner with Data Science and Analytics teams to enable advanced modeling and machine learning ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

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All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Madison, WI

Mlops Machine Learning Engineer information

See Madison, WI salary details

$31.7K

$129.8K

$195K

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

As of Sep 11, 2026, the average yearly pay for mlops machine learning engineer in Madison, WI is $129,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $156,200.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in Madison, WI?

For Mlops Machine Learning Engineer jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Mlops Machine Learning Engineer jobs in Madison, WI look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Madison, WI are:

What cities near Madison, WI are hiring for Mlops Machine Learning Engineer jobs?

Cities near Madison, WI with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Madison, WI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $129,751 per year, or $62.4 per hour.

AI Engineer

Oregon, WI • On-site

EM Key Solutions Inc
IT Services • 11 - 50 employees
Learn more about EM Key Solutions Incexternal

Other

Posted 23 days ago

Job description

AI Engineer

Remote, USA; potential for minimal ad hoc travel

EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.

The successful candidate will collaborate with cross‑functional teams to identify high‑value AI opportunities, develop proof‑of‑concepts, and deliver secure, scalable, production‑ready AI solutions aligned with VA AI governance and Trustworthy AI principles.

Duties/Responsibilities
  • Design and develop AI‑powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval‑Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.
Required Qualifications
  • 5+ years in overall software engineering experience.
  • 2+ years of hands‑on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval‑Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud‑native development.
  • Strong analytical, communication, and problem‑solving skills.
Preferred Qualifications
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.
Education/Technical Skills
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases
Clearance
  • S. Citizenship is required as is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.
Equal Opportunity Employer

EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

Reasonable Accommodation Requests

EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail hr@emks.com or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case‑by‑case basis.

E-Verify

As a Federal Contractor, we are required to use E-Verify to validate employees' ability to work legally in the United States.

EEO is the Law

The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.

Pay Transparency Non-Discrimination

EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

Legal Notices

For information regarding your legal rights and protections, please click on the following link: State and Federal Labor Notices

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