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Machine Learning Engineer Jobs in Omaha, NE (NOW HIRING)

DevOps Engineer

Omaha, NE · On-site

$50.50 - $69/hr

... machine learning, and mission support and engineering services to the Intelligence Community ... national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in ...

... machine learning models, natural language processing systems, computer vision applications, and data pipelines. - Collaborate with data scientists and engineers to identify requirements and translate ...

Machine learning & architecture * Data warehouse design * Strong knowledge of Java programming and PL-SQL. * Experience with REST API integration. * Working knowledge of Unix/Linux and Shell ...

Front-End Developer, Craftsman

Omaha, NE · On-site

$99K - $115K/yr

USfalconis seekinga Front-End Developer, Craftsman to supportUSSTRATCOMat Offutt AFB,NE ... Familiarity with artificial intelligence, machine learning, and statistical modelingsupport ...

Summary As an AI Engineer, you will play a critical role in designing, building, and deploying ... Background in machine learning or deep learning (e.g. PyTorch, TensorFlow). Eligibility ...

Front-End Developer, Craftsman

Omaha, NE · On-site

$99K - $115K/yr

The Front-End Developer provides front-end development and visualization support for USSTRATCOM ... Familiarity with artificial intelligence, machine learning, and statistical modeling support to ...

Showing results 41-60

Machine Learning Engineer information

See Omaha, NE salary details

$30.1K

$123.2K

$185.1K

How much do machine learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for 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 a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

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

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,184 per year, or $59.2 per hour.

Database/Programming/ Visualization Analyst, Senior with Security Clearance

Offutt Air Force Base, NE • On-site

USfalcon
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees

$81K - $102K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Job Category: Space and Cyber Requisition Number: DATAB003415 USfalcon is seeking a Database, Programming, and Visualization Analyst, Senior to support USSTRATCOM at Offutt AFB, NE.     JOB SUMMARY:   The Database, Programming, and Visualization Analyst, Senior provides advanced technical support to USSTRATCOM/J7 General, Campaign, and Strategic Assessments by designing, developing, operating, and administering the structured data, application, and visualization environment that underpins assessment and analytics activities. This position applies extensive experience in database design and development, application architecture, multi-language software development, Agile team participation, and Artificial Intelligence/Machine Learning data support to enable scalable analytics and decision-support capabilities.  ESSENTIAL DUTIES:    * Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access in support of USSTRATCOM assessment activities.  * Design, develop, and manage databases supporting analytics and Machine Learning operations, including tables, indexes, triggers, and stored procedures. * Provide application architecture support and Windows/Internet Information Services (IIS) server administration for assessment and analytics tools and related applications. * Create tools and dashboards to support decision-making and generate clear, tailored reports that can be disseminated across multiple organizational levels to inform senior leader decisions. * Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms. * Integrate data sources, design and implement new features, monitor functionality, resolve issues, apply updates, and maintain data accuracy, integrity, and security within dashboard and analytics platforms. * 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 for campaign, risk, and operations assessments. * Collaborate in iterative cycles, ensuring analytics deliverables align with evolving requirements and priorities, and gather stakeholder input to refine tools, reports, and workflows for improved usability and relevance. * Lead or contribute to Agile teams, including participation in sprint planning, backlog grooming, and retrospectives, to deliver analytics and visualization capabilities in accordance with USSTRATCOM/J7 priorities. * Provide ongoing technical support, training, and documentation for databases, applications, dashboards, and visualization tools supporting USSTRATCOM/J7 assessments and data and analytics tasks.  REQUIRED QUALIFICATIONS:   * At least 10 years of database design and development experience, including tables, indexes, triggers, and stored procedures. * Minimum of 3 years of application architecture experience and Windows/Internet Information Services (IIS) server administration. * Minimum of 7 years of development experience in JavaScript, C#, Python, Visual Basic for Applications, and other languages as required, including front-end and back-end web development and Visual Basic for Applications development using Office suite tools such as Excel, Word, and Access. * At least 3 years of experience as a database administrator. * At least 3 years’ experience leading or contributing to Agile teams, including sprint planning, backlog grooming, and retrospectives. * Proven experience designing and managing databases that support Artificial Intelligence/Machine Learning operations, including preparing data for model training, ensuring data quality, and enabling scalable pipelines for analytics and Machine Learning deployment.  PREFERRED QUALIFICATIONS:   * Experience supporting campaign, contingency, or exercise assessments at the Combatant Command, Joint Staff, or service component level. * Experience developing commander’s estimates, mission analysis products, or senior-level assessment briefings.  * Experience working with strategic deterrence assessment frameworks, operations assessment processes, or campaign plan analysis.   EDUCATION/CERTIFICATION:    * Bachelor’s degree in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, and/or applied physics, or an equivalent field.   REQUIRED CLEARANCE: Top Secret/SCI  TRAVEL: TBD   Benefits Offered: medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, EAP, parental leave, pet insurance, paid time off, and holidays. USfalcon has grown from our roots in 1984 to become a mid-tier professional services company supporting a diverse and global customer base of DoD and Federal Agencies. We have been excelling in diverse platforms for almost 30 years and continue to be an industry leader. If you thrive in an organization that values integrity, commitment, stewardship, and service, we want to meet you.  We deliver core capabilities in Aviation, Space, Information Technology, and Business Operations and continue to grow and expand our competencies, contracts and customer base, adding to our long history of supporting customer and community needs. Learn more at www.usfalcon.com/history.   Qualifications Skills Behaviors : Motivations : Education Experience Licenses & Certifications Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities