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Artificial Intelligence And Machine Learning Jobs in Nebraska

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Senior AI Engineer

Bellevue, NE · On-site

$90 - $120/hr

Key Responsibilities Software development and design for Artificial Intelligence and Machine Learning systems. Model creation, data science/analytics, and integration of AI/ML into operational ...

New

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

Showing results 41-60

Artificial Intelligence And Machine Learning information

See Nebraska salary details

$13

$25

$46

How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for artificial intelligence and machine learning in Nebraska is $25.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $26.59 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

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

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
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What job categories do people searching Artificial Intelligence And Machine Learning jobs in Nebraska look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Nebraska are:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,252 per year, or $25.1 per hour.

Data Analyst (journeyman) with Security Clearance

Spiral Solutions and Technologies, Inc.

Bellevue, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 12 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