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Mlops Engineer Jobs in Iowa (NOW HIRING)

Atos

$47.50 - $65/hr

Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle ... Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready ...

Atos

$47.50 - $65/hr

Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle ... Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready ...

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 ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Iowa

Mlops Engineer information

See Iowa salary details

$91.4K

$143.5K

$166.5K

How much do mlops engineer jobs pay per year?

As of Sep 9, 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:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Iowa as of September 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $143,518 per year, or $69 per hour.

AI ENGINEER

Atos
See more jobs at Atosexternal

$47.50 - $65/hr

Full-time

Posted 7 days ago

Job description

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. 7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

Key Responsibilities:

  • Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services.
  • Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
  • Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.
  • Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC networking.
  • Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.

Required Skills:

Gemini Enterprise Terraform Google Kubernetes Engine (GKE) Virtual Private Cloud (VPC) MLOps Machine Learning Engineering Google Cloud Platform (GCP) Cloud Architecture and Deployment Expertise

#LI-US

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 

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