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Artificial Intelligence Machine Learning Engineer Jobs in Omaha, NE

Warnerbros

Senior Machine Learning Engineer

Bellevue, NE

$99K - $135K/yr

Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and ...

Monitise

A.I. Transformation Lead

Omaha, NE

$141K - $225K/yr

Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or ... Cobol Programming * IBM tools, monitoring tools, RMF, DB2 utilities, Platinum Detector, etc. You ...

Fiserv, Inc.

A.I. Transformation Lead

Omaha, NE · On-site

$141K - $225K/yr

Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or ... Cobol Programming * IBM tools, monitoring tools, RMF, DB2 utilities, Platinum Detector, etc. You ...

Monitise

AI Transformation Consultant

Omaha, NE · On-site

Experience you will need to have: * 10+ years of experience in artificial intelligence, machine learning, data analytics, software development, or related technical disciplines. * 8+ years of ...

Fiserv, Inc.

AI Transformation Consultant

Omaha, NE · On-site

Experience you will need to have: * 10+ years of experience in artificial intelligence, machine learning, data analytics, software development, or related technical disciplines. * 8+ years of ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Omaha, NE

Artificial Intelligence Machine Learning Engineer information

See Omaha, NE salary details

$30.1K

$123.2K

$185.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence machine learning engineer in Omaha, NE is $123,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Omaha, NE?

For Artificial Intelligence Machine Learning Engineer jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Omaha, NE look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Omaha, NE are:

What cities near Omaha, NE are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Omaha, NE with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $123,184 per year, or $59.2 per hour.

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Re-posted 16 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

55th of 1,061 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2026 - 264 Department Genetics Cell Biology & Anatomy 50000507 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule 8:00 am - 5:00 pm Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 06/25/2026
Position Qualification
Position Summary
Developing and/or applying artificial intelligence, machine learning and/or data science-based methods to address cutting-edge topics, including but not limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine.
Required Qualifications
The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong programming capability is necessary.
Supplemental Qualifications
Preferences will be given to those who have research experience in large language models (LLMs)/foundation models (FMs), single-cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, or precision medicine.

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