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Artificial Intelligence Machine Learning Engineer Jobs in Omaha, NE

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

... Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion strategic initiatives thatleverageanalytics and artificial intelligence ...

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 ...

Master's degree from a science, technology, engineering, or mathematics-designated program * One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft ...

... Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. This role will be focused on advancing personalization and ...

Showing results 21-40

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 23, 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:

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.

AI Modeling Specialist (Senior)

Pae

Omaha, NE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

*This position is contingent upon contract award*

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations.

As an AI Modeling Specialist (Senior) you will have the opportunity to:

  • Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
  • Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
  • Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
  • Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
  • Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
  • Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
  • Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
  • Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
  • Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
  • Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Required Qualifications:

  • Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance.
  • Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies)
  • Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments
  • Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets
  • Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent)
  • Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models
  • Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets
  • Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers
  • Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments

Preferred Qualifications:

  • Advanced degree (MS or PhD) in AI, machine learning, data science, or related field
  • Experience developing AI-enabled automation frameworks or platforms supporting mission workflows
  • Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts
  • Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics
  • Experience supporting cross-CCMD or distributed data environments at scale
  • Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms)
  • Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics
  • Experience working in joint, interagency, or coalition operational environments
  • Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas

Compensation Details:

$120,000 - 170,000

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

06/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.