ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Iowa (NOW HIRING)

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ...

Pwc

CTIO AI Engineering Manager

Des Moines, IA

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Des Moines, IA

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Senior Manager

Des Moines, IA

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

RFA Engineering

Embedded Software Engineer

Urbandale, IA · On-site

$70K - $120K/yr

We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Iowa

Machine Learning Engineer information

See Iowa salary details

$29.6K

$120.9K

$181.7K

How much do machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning engineer in Iowa is $120,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,600.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Iowa? The most popular types of Machine Learning Engineer jobs in Iowa are:
What are popular job titles related to Machine Learning Engineer jobs in Iowa? For Machine Learning Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Iowa look for? The top searched job categories for Machine Learning Engineer jobs in Iowa are:
What cities in Iowa are hiring for Machine Learning Engineer jobs? Cities in Iowa with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in IA? For Machine Learning Engineer jobs in IA, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,948 per year, or $58.1 per hour.
Learning Analytics Specialist

Learning Analytics Specialist

The University Of Iowa

Iowa City, IA • Hybrid

Other

Posted 12 days ago

University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

412th of 541 rated colleges and universities

Job description

The Office of Teaching, Learning & Technology is seeking a Learning Analytics Specialist to expand our capacity for learning sciences research and learning analytics projects that support student learning.

The Learning Analytics Specialist will support the instructional mission at the University of Iowa by analyzing institutional and student interaction data from learning technologies including generative AI tools to inform teaching practices, develop and evaluate interventions that promote student success, and support evidence-based decision making.

This role will collaborate with campus partners to develop and assess data-informed instructional support services, conduct research on student learning, and communicate findings to faculty, staff, administrators, and other stakeholders. The Learning Analytics Specialist will provide consultation, training, and user support related to learning analytics tools, dashboards, and services, helping stakeholders interpret data and apply insights to improve teaching and learning.

The ideal candidate will have a strong background in data management, statistical analysis, and learning sciences research, with demonstrated experience using R, Python, and machine learning techniques to transform and analyze complex datasets.  The successful candidate will also possess strong communication, consultation, and stakeholder engagement skills, with the ability to translate analytical findings into actionable recommendations and support the adoption of data-informed practices across the university.

This position is eligible for hybrid work within the state of Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually and must comply with the remote work program and related policies and employee travel policy when working at a remote location. There is an expectation that this individual be able to travel to Iowa City a minimum of 3-4 times per year.

This position is not eligible for visa sponsorship for employment.

For a full job description, please email Melanie Bell at melanie-bell@uiowa.edu.

About IT Services:

Our mission is to create a welcoming and supportive work environment where everyone feels empowered to be their authentic selves and share ideas.  We are committed to cultivating a welcoming and respectful workforce culture where people of all backgrounds and perspectives are empowered to make a positive impact.  We embrace this commitment as mission-critical in everything we do and embed it in hiring, incentive, retention, and career-development practices and initiatives.

Required Qualifications:

  • Master's degree in statistics or a related field, or an equivalent combination of education and additional related experience.

  • Experience (typically 1 year or more) in data analytics projects, including research that incorporates data-informed interventions.

  • Proficiency in R for data management, analysis, and visualization.

  • Proficiency in SQL.

  • Knowledge of various statistical analysis (e.g. descriptive statistics, conductive hypothesis tests, and using multiple linear regression and logistic regression to model outcomes.)

  • Excellent written and verbal communication skills.

  • Excellent interpersonal skills and demonstrated ability to work productively as part of a team.

  • Strong organizational and project management skills, with the ability to coordinate multiple projects and meet deadlines.

Desirable Qualifications:

  • Knowledge of machine learning techniques and algorithms.

  • Knowledge of Unizin Data Platform and Canvas.

  • Knowledge of learning theory and its application in higher education settings.

  • Knowledge of University policies, procedures, and regulations.

  • Knowledge of methods used in educational data mining.

  • Experience with a programming language such as Python.

  • Ph.D. in Educational Evaluation, Statistics, or a related field.

Position and Application details:

In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission:

  • Resume

  • Cover Letter

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification.  Up to 5 professional references will be requested at a later step in the recruitment process.

For additional questions, please contact Melanie Bell at melanie-bell@uiowa.edu.

There is an expectation that the person in this position will maintain effective, civil, and respectful working relationships with the University of Iowa campus community and uphold a high standard of cultural competency and respect for difference that represents our commitment to a welcoming and respectful work environment.

Additional Information
  • Classification Title: Snr Business Intel Analyst
  • Appointment Type: Professional and Scientific
  • Schedule: Full-time
  • Work Modality Options: On Campus, Hybrid within Iowa
Compensation
  • Pay Level: 4B
Contact Information
  • Organization: Information Technology Services
  • Contact Name: Melanie Bell
  • Contact Email: melanie-bell@uiowa.edu

What University Of Iowa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply