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Machine Learning Jobs in Omaha, NE (NOW HIRING)

The selected candidate will applyexpertisein large, complex datasets, Business Intelligence tools, Python, R, SQL, and machine learning to develop analytical products, dashboards, and decision ...

Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making. * Assess available datasets, identify ...

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion ...

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command ...

Showing results 41-60

Machine Learning information

See Omaha, NE salary details

$24.4K

$40.7K

$84.2K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Omaha, NE is $40,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Omaha, NE?

The most popular types of Machine Learning jobs in Omaha, NE are:

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

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

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

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

Infographic showing various Machine Learning job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,733 per year, or $19.6 per hour.

Data Analyst (journeyman) with Security Clearance

Spiral Solutions and Technologies, Inc.

Offutt Air Force Base, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago


Job description

Job Description Position Overview Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7). The Data Analyst supports USSTRATCOM/J7 assessment activities through structured data design, management, analysis, and visualization in support of campaign, risk, operations, and Joint Force assessments. The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools, Python, R, SQL, and machine learning to develop analytical products, dashboards, and decision-support outputs for senior leaders and assessment stakeholders. Requirements Key Responsibilities • Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access. • Execute automated monitoring of intelligence, diplomatic, open-source information, after-action reports, and component inputs, and provide analytical insights on global trends, risks, and opportunities. • Create tools and dashboards to support decision-making. • 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. • Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms. • Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions. • Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making. • Assess available datasets, identify opportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making. • Identify, collect, analyze, and enter data in support of competition, planning in crisis, combat, risk, exercise, and other-directed assessments. • Utilize artificial intelligence and machine learning tools to augment analysis and contribute to continuous improvement of assessment processes, tools, and products. Required Qualifications • At least 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • A bachelor's degree or higher. • Expertise in Python, R, Business Intelligence tools, and data cleaning and wrangling. • Proficient in Structured Query Language database management. • Familiarity with Agile methodologies, including contributing to sprint planning, backlog grooming, and retrospectives. • Direct experience developing Machine Learning models required. • U.S. citizenship required. Preferred Qualifications • Experience developing dashboards, connectors, and decision-support tools for strategic assessment environments. • Experience integrating intelligence, diplomatic, open-source, or after-action data into analytical workflows. Experience supporting Combatant Command, Joint Staff, or other senior-level defense assessment organizations Summary Benefits include: Medical Dental Vision Employer paid life insurance Voluntary life insurance 401K Flexible spending accounts Employee Assistance program Short- and long-term disability Home | Spiral Solutions & Technologies, Inc. (ssandtech.com) Equal Opportunity Employer: Spiral Solutions and Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local law