1

Artificial Intelligence Machine Learning Engineer Jobs in Nebraska

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 ...

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 ...

Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support. * Develop and ...

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and ... Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data ...

Machine Learning Tutor

Omaha, NE · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Lincoln, NE · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Nebraska salary details

$30K

$122.8K

$184.5K

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 Nebraska is $122,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $147,800.00 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 Nebraska?

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

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

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Nebraska are:

What cities in Nebraska are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Nebraska with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Nebraska as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $122,775 per year, or $59 per hour.

$98K - $114K/yr

Other

Posted 28 days ago


Job description

Description
Position Overview
Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Front-End Developer to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7).
The Front-End Developer provides front-end development and visualization support for USSTRATCOM assessment data, dashboards, and decision-support tools. The selected candidate will develop user interfaces with modern web technologies, integrate data-driven applications, and support analytics products that enable senior leader decision-making across campaign, operations, and Joint Force assessments.
Security Clearance Requirements
This position supports classified programs and requires access to classified systems and material. All contractor personnel must be United States citizens and possess a Top-Secret clearance with eligibility for Sensitive Compartmented Information, Nuclear Command and Control/Extremely Sensitive Information, and Special Access Program access prior to commencing work.
Requirements
Key Responsibilities
• Create tools and dashboards to support decision-making across competition, planning in crisis, combat, risk, exercise, and other-directed assessments.
• Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms.
• Build and support interactive, web-based data visualizations and dashboards using modern front-end libraries and frameworks.
• Collaborate in iterative cycles to ensure analytics deliverables align with evolving requirements and priorities.
• Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance.
• Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions.
• Support structured data systems that ensure accuracy, maintainability, scalability, and secure access.
• Assist with integration of external data sources and connectors, including support for database-driven applications and visualization platforms.
• Contribute to data and analytics efforts that use emerging analytical techniques, visualization methods, and artificial intelligence or machine learning-enabled processes.
• Participate in boards, bureaus, centers, cells, and working groups and support continuous improvement of assessment tools, processes, and products.
Required Qualifications
• Experience developing user interfaces with modern web technologies, specifically the React framework.
• Experience with MAVEN Smart Systems.
• Experience creating interactive, web-based data visualizations and dashboards using modern libraries.
• Experience with database-driven applications, version control, and normalization.
• Experience with automatization of tasks using languages like Python or JavaScript.
• Familiarity with querying external databases via Application Programming Interfaces (APIs) and Really Simple Syndication (RSS) feeds.
• Experience working in Agile environments and collaborating with cross-functional teams.
• A bachelor's degree or higher in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, and/or applied physics or equivalent is required.
• A minimum of 7 years of combined front-end development and visualization experience
• U.S. citizenship required.
Preferred Qualifications
• Direct experience supporting USSTRATCOM, Combatant Command, or Department of Defense analytics, assessment, or visualization efforts.
• Experience integrating front-end applications with databases, APIs, RSS feeds, and analytics platforms in classified or mission-focused environments.
• Familiarity with artificial intelligence, machine learning, and statistical modeling support to decision-support tools and visual analytics products.