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Mlops Engineer Jobs in Iowa (NOW HIRING)

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 ...

... 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 ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... MLOps pipelines. Communication and Influence Clearly articulate technical risks, trade-offs, and ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... MLOps pipelines. Communication and Influence Clearly articulate technical risks, trade-offs, and ...

Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling ... Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering ...

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...

MLOps * CI/CD Pipelines * Microservices Architecture * SQL & NoSQL Databases * Redis * Elasticsearch * Prompt Engineering * OAuth 2.0 / JWT Authentication * Agile/Scrum Qualifications * Bachelor's or ...

AI & HPC Infrastructure Engineer

Des Moines, IA · On-site

$104K - $137K/yr

Preferred Skills and Qualifications: * 2+ years of experience implementing MLOps, LLMOps, agentic AI, and DevSecOps frameworks to enable secure, automated, governed, and reproducible AI workflows ...

Mlops Engineer information

See Iowa salary details

$91.4K

$143.5K

$166.5K

How much do mlops engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for mlops engineer in Iowa is $143,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,852.00 and $154,685.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

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

The most popular types of Mlops Engineer jobs in Iowa are:

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

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

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

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

Infographic showing various Mlops Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $143,518 per year, or $69 per hour.

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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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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