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Ml Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Ankeny, IA · On-site

$108K - $130K/yr

Experience preparing data for AI/ML consumption (e.g., vector embeddings, RAG architectures) is a ... Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar cloud platform ...

Our engineers embed deeply with customers, moving projects beyond experimentation into operational ... Minimum of 2 years experience with modern AI/ML platforms such as: * OpenAI, Anthropic, or similar ...

Our engineers embed deeply with customers, moving projects beyond experimentation into operational ... ML platforms such as: * OpenAI, Anthropic, or similar foundation model providers * Workflow ...

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Ml Engineer information

See Iowa salary details

$31K

$83.8K

$133.4K

How much do ml engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ml engineer in Iowa is $83,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $102,400.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

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

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

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

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

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

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

What cities in Iowa are hiring for Ml Engineer jobs?

Cities in Iowa with the most Ml Engineer job openings:

Infographic showing various Ml Engineer job openings in Iowa as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,767 per year, or $40.3 per hour.

Sr. Principal Artificial Intelligence Infrastructure Engineer (Onsite - Cedar Rapids, IA)

Cedar Rapids, IA • On-site

Prattwhitney
Engineering Professional Services • 10K+ employees

$106K - $144K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Pratt & Whitney rating

8.8

Company rating: 8.8 out of 10

Based on 162 frontline employees who took The Breakroom Quiz


Job description

Date Posted: 2026-07-27 Country: United States of America Location: US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems.

With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. Join us and help shape the future of aerospace and defense.

The AI Sandbox team within Applied Research & Technology (ART) is seeking an Artificial Intelligence (AI) Infrastructure Engineer to architect and lead the evolution of our AI infrastructure for AI and GenAI applied research. This role facilitates rapid prototyping that transitions seamlessly into turnkey development environments, manages on-prem and cloud infrastructure, and supports developers working within RTX Digital Technology (DT) frameworks. This role will be worked onsite in Cedar Rapids, IA. Relocation assistance is available.

What You Will Do:
  • Lead the architecture, design, and evolution of scalable AI infrastructure including GPU servers, Kubernetes clusters and supporting platform services
  • Define the technical vision and deliver standardized AI development platforms and engineering workflows that enable secure, repeatable, and scalable AI research
  • Enable AI researchers and developers by delivering secure, self-service development environments, container platforms, and engineering tooling that accelerate innovation and improve productivity
  • Architect and oversee end-to-end AI platform capabilities, including containerized environments, source control, CI/CD pipelines, and developer tooling
  • Manage DT-aligned platform operations including accounts, access, backups, compliance, and server configuration
  • Implement and track required approvals, authorizations, and compliance activities
  • Support and maintain on-prem and cloud-based environments within RTX’s DT ecosystem
  • Evaluate and recommend emerging tools; support sandboxed pilots for AI infrastructure and MLOps/LLMOps capabilities
  • Collaborate with ART, DT, and AI/ML teams to align infrastructure with research needs
  • Travel up to 25%
Qualifications You Must Have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience
  • Experience administering AI or compute-intensive infrastructure including GPU servers and Kubernetes clusters
  • Experience with Linux, container runtimes, orchestration, and platform configuration
  • Experience operating within enterprise IT frameworks requiring security, compliance, and access controls
  • Experience supporting developers or researchers in platform, DevOps, or infrastructure engineering roles
Qualifications We Prefer:
  • Kubernetes certifications or equivalent expertise
  • Experience architecting, designing and operating AI infrastructure on Azure, AWS, or GPC, including GPU provisioning, Kubernetes services, networking, storage, identity and access management, security, and cost optimization
  • Familiarity with AI/ML platforms, MLOps, or GenAI development workflows
  • Experience with RTX DT processes, tools, and compliance requirements
What We Offer:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
  • Tuition reimbursement program
  • Student Loan Repayment Program
  • Life insurance and disability coverage
  • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
  • Birth, adoption, parental leave benefits
  • Ovia Health, fertility, and family planning
  • Adoption Assistance
  • Autism Benefit
  • Employee Assistance Plan, including up to 10 free counseling sessions
  • Healthy You Incentives, wellness rewards program
  • Doctor on Demand, virtual doctor visits
  • Bright Horizons, child and elder care services
  • Teladoc Medical Experts, second opinion program
  • And more!

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Collins Aerospace makes modern flight possible. Of course, that wouldn’t be possible without the capabilities and technologies of our organization, as well as our engineers – a highly skilled, accomplished network that spans more than 180 sites, 24 countries and 6 Strategic Business Units (SBUs). Our industry-leading experts are setting the standards for the aerospace industry and paving the way for the future. But as new challenges present themselves, we need fresh, creative and motivated minds to overcome these hurdles, help us break barriers and achieve new levels of innovation. Do you have what it takes to join a global organization that doesn’t shy away from big opportunities? If so, we invite you to join our ranks and create the next generation of aerospace technologies. Together, we will nurture an engineering culture that values intellectual curiosity, risk takers and integrity. A place where we will challenge ourselves, our teams, and the status quo and where we will work to find a way – the right way – to achieve what others can only dream of.

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

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About Pratt & Whitney

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Pratt & Whitney has a long history of leadership and innovation in the field of aviation propulsion. Our story begins in the 1920s and has flourished throughout the decades. We have continuously transformed and reinvented our businesses to offer superior products and services to our customers. In 1925, the Pratt & Whitney Aircraft Company was founded by Frederick B. Rentschler, pioneer of the air-cooled radial engine design which enabled unprecedented power-to-weight ratio. Its first engine, the R-1340 Wasp engine, transformed military and commercial aviation and is still in use today. In 1928, the Canadian division of the Pratt & Whitney Aircraft Company was established. In 1944, Pratt & Whitney began its gas turbine and jet propulsion initiative. The company constructed a wind tunnel, laboratory and engineering center to support our allies’ efforts in World War II. In 1945, wartime production included more than 300,000 Pratt & Whitney engines, touted by service members as extremely dependable – a legacy that continues today. From there, Pratt & Whitney continued to design and innovate more powerful, agile, and reliable engines becoming a leader in the aerospace industry. Today, Pratt & Whitney has more than 85,000 engines in service and more than 16,000 customers worldwide.

Industry

Engineering professional services

Company size

10,000+ Employees

Headquarters location

East Hartford, CT, US