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Mlops Jobs in Iowa (NOW HIRING)

Iowa State University

MLOps Engineer

Ames, IA · On-site

MLOps Engineer Job Group:Professional & Scientific Required Minimum Qualifications:Bachelor's degree Summary of Duties and Responsibilities: Looking for an opportunity to apply AI and machine ...

Iowa State University

MLOps Engineer

Ames, IA · On-site

MLOps Engineer Job Group: Professional & Scientific Required Minimum Qualifications: Bachelor's degree Summary of Duties and Responsibilities: Looking for an opportunity to apply AI and machine ...

ClifyX

Prinicipal AI Engineer

West Des Moines, IA · On-site

... MLOps frameworks, and AI platforms. • Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation. • Design and optimize LLM ...

Accenture

Senior Data Scientist

Des Moines, IA · On-site

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

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Mlops information

See Iowa salary details

$92.4K

$144.9K

$172.4K

How much do mlops jobs pay per year?

As of Aug 16, 2026, the average yearly pay for mlops in Iowa is $144,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,942.00 and $157,415.00 per year, depending on experience, location, and employer.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.

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

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

What are the most commonly searched types of Mlops jobs in Iowa?

The most popular types of Mlops jobs in Iowa are:

What are popular job titles related to Mlops jobs in Iowa?

For Mlops jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Mlops jobs in Iowa look for?

The top searched job categories for Mlops jobs in Iowa are:

What cities in Iowa are hiring for Mlops jobs?

Cities in Iowa with the most Mlops job openings:

Mlops jobs near you
Infographic showing various Mlops job openings in Iowa as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 70% Physical, 10% Hybrid, and 20% Remote job distribution, with an average salary of $144,937 per year, or $69.7 per hour.

MLOps Engineer

Iowa State University

Ames, IA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Iowa State University rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities

Job description

Position Title:MLOps EngineerJob Group:Professional & ScientificRequired Minimum Qualifications:Bachelor's degreeJob Description:

Summary of Duties and Responsibilities:

Looking for an opportunity to apply AI and machine learning in ways that truly matter?

If so, the Translational AI Center (TrAC) at Iowa State University is seeking applicants for a MLOps (Machine Learning Operations) Engineer! This position will be classified as a Research and Development Engineer I.

What You'll Do:

  • Build and maintain machine learning infrastructure, CI/CD pipelines, and automated data workflows.

  • Implement model tracking, versioning, and reproducibility practices.

  • Deploy and manage machine learning models in cloud and production environments.

  • Containerize applications and support scalable deployment platforms.

  • Develop and maintain APIs, applications, and services that deliver AI solutions.

  • Monitor system performance, troubleshoot issues, and optimize reliability.

  • Write, test, and maintain high-quality, reusable software.

  • Create and maintain technical documentation.

  • Participate in code reviews and contribute to shared tools and libraries.

  • Collaborate with researchers and stakeholders to transition prototypes into production systems.

  • Support system integration and communicate technical requirements.

  • Provide technical guidance and training as needed.

This is a two-year, fixed term position with the opportunity for renewal.

Preferred Qualifications:

  • Bachelor's degree or above in Computer Science, Computer Engineering, Software Engineering, Data Science, or a related technical field.

  • Two years of related experience in backend software development, AI/ML model deployment, MLOps, DevOps, cloud/platform engineering, or a closely related technical area.

  • Experience deploying AI/ML models from prototype to production, including containerization, model versioning, automated deployment, monitoring, and operational support.

  • Strong backend development experience, preferably in Python, including APIs, distributed services, databases, testing, and reusable software components.

  • Experience with CI/CD, Git-based workflows, containerization, infrastructure automation, experiment tracking, observability, and secure deployment practices.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including compute, storage, identity management, monitoring, and managed AI/ML services.

  • Experience deploying and supporting shared technical platforms, including user access management, upgrades, backups, capacity planning, and user support.

About TrAC:

At the Translational AI Center (TrAC), we bridge the gap between cutting-edge AI research and real-world applications. Through federally funded initiatives, seed grant projects, and interdisciplinary research thrusts, we drive innovation that shapes the future of AI. To learn more about TrAC, please visit TrAC.

This posting will be open until filled. However, to receive full consideration, applications need to be submitted before August 14th, 2026.

Application Instructions:
To apply for this position, please click on "Apply" and complete the Employment Application. Please be prepared to enter or attach the following:

Resume/Curriculum Vitae

Letter of Application/Cover Letter

Why Choose Iowa State University?
Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as:

  • Retirement benefits including defined benefit and defined contribution plans

  • Generous vacation, holiday, and sick time and leave plans

  • Onsite childcare (Ames, Iowa)

  • Life insurance and long-term disability

  • Flexible Spending Accounts

  • Various voluntary benefits and discounts

  • Employee Assistance Program

  • Wellbeing program

  • Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager.

If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485.

Appointment Type:Regular with Term Appointment (Fixed Term)Proposed End Date or Length of Term:August 31, 2028Number of Months Employed Per Year:12 Month Work PeriodTime Type:Full timePay Grade:PS810Original Posting Date:August 7, 2026Posting Close Date:Job Requisition Number:R19645

Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email eooffice@iastate.edu.

General ISU compensation information can be found on the University Human Resources website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.

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