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Senior Machine Learning Engineer Jobs in Omaha, NE

This role applies statistical, machine learning, and data analysis techniques to insurance data to ... Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google ... Our Senior Consultants are expected to contribute to the firm's growth and development in a variety ...

Sr. Software Engineer

Papillion, NE · On-site +1

$115K - $152K/yr

... skilled Senior Software Engineer specializing in full-stack or backend development to join our ... automation, and enable machine learning integration to support informed decision-making.

Senior DevOps Engineer

Omaha, NE · On-site

$124K - $159K/yr

Dark Wolf Solutions is looking for a Senior DevOps Engineer to engineer and maintain Infrastructure ... machine learning, and mission support and engineering services to the Intelligence Community ...

Senior AI Engineer

Bellevue, NE · On-site

$90 - $120/hr

... Machine Learning systems. Model creation, data science/analytics, and integration of AI/ML into ... Collaboration with systems engineers, architects, scrum masters, product owners, and end users to ...

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 ...

Summary The Senior Staff AI Scientist will work in teams addressing statistical, machine learning ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ...

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale ...

This role requires strong technical expertise in data science methodologies, machine learning model ... Excellent written and verbal communication skills, including the ability to brief senior leadership.

... and senior leadership. * Manages project scope, expectations, and timelines. * Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.

This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ... senior engineers * Create and modify 3D CAD models and detailed drawings to support equipment ...

This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ... senior engineers * Create and modify 3D CAD models and detailed drawings to support equipment ...

Showing results 21-40

Senior Machine Learning Engineer information

See Omaha, NE salary details

$56.9K

$121.1K

$175.5K

How much do senior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning engineer in Omaha, NE is $121,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $137,300.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Senior Machine Learning Engineer jobs in Omaha, NE? For Senior Machine Learning Engineer jobs in Omaha, NE, the most frequently searched job titles are:
What cities near Omaha, NE are hiring for Senior Machine Learning Engineer jobs? Cities near Omaha, NE with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,067 per year, or $58.2 per hour.

Senior Database, Programming, & Visualization Analyst

Qualis LLC

NE • On-site

$81K - $102K/yr

Full-time

Re-posted 2 days ago


Job description

Qualis LLC is seeking a full-time Senior Database, Programming, and Visualization Analyst to support USSTRATCOM operational, training, exercise, analytics, and data management activities. This position requires extensive experience in database design and development, application architecture, programming, web development, data analytics, and visualization activities. The Senior Database, Programming, and Visualization Analyst shall support development and maintenance of databases, applications, analytics tools, automation capabilities, and data visualization products supporting operational and mission requirements. The position requires experience supporting Artificial Intelligence/Machine Learning (AI/ML) data operations, Agile development activities, and database administration functions. This position is contingent upon contract award.


EDUCATION AND EXPERIENCE

At a minimum, the ideal candidate will meet the following experience requirements (candidates that exceed these requirements are strongly preferred):

  • Minimum 10 years of experience in database design and development including tables, indexes, triggers, and stored procedures.
  • Minimum 3 years of application architecture experience and Windows/Internet Information Services (IIS) server administration experience.
  • Minimum 7 years of development experience in JavaScript, C#, Python, Visual Basic for Applications (VBA), and other programming languages as required.
  • Experience with front-end and back-end web development.
  • Experience developing applications and automation tools using Microsoft Office Suite including Excel, Word, and Access.
  • Minimum 3 years of database administrator experience.
  • Minimum 3 years of experience leading or contributing to Agile teams including sprint planning, backlog grooming, and retrospectives.
  • Proven experience designing and managing databases supporting Artificial Intelligence/Machine Learning (AI/ML) operations including data preparation, data quality management, analytics support, and scalable Machine Learning deployment pipelines.
  • Bachelor’s degree or higher in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, applied physics, or equivalent field required.


SUPERVISION: This position may coordinate with Government personnel, database administrators, software developers, analysts, Agile development teams, and operational stakeholders in support of mission and operational activities.

Additional Qualifications:

  • Knowledge of database development and administration processes
  • Knowledge of programming, scripting, and web development technologies
  • Knowledge of Agile software development methodologies
  • Ability to work effectively in a team environment
  • Strong organizational and communication skills


SYSTEM KNOWLEDGE: Microsoft Office Suite and standard operational planning and collaboration tools. JavaScript, C#, Python, Visual Basic for Applications (VBA), Windows Server, Internet Information Services (IIS), database management systems, web development tools, analytics platforms, and standard collaboration tools.


LANGUAGE SKILLS: Ability to read, analyze, and interpret operational guidance, exercise planning documents, operational orders, and Joint doctrine publications. Ability to write reports, briefing materials, and operational support documentation in support of exercise planning and execution activities.


MATHEMATICAL SKILLS: Ability to apply analytical and operational reasoning techniques in support of exercise planning and operational coordination activities.


REASONING ABILITY: Ability to analyze operational requirements, support Joint exercise planning activities, and coordinate with multiple organizations in support of training objectives and operational requirements.


TRAVEL REQUIREMENTS: Domestic temporary duty (TDY) travel may be required in support of planning conferences, meetings, and exercise activities.


SECURITY REQUIREMENTS

  • Final Top Secret/Sensitive Compartmented Information (TS/SCI) clearance required
  • Must comply with all USSTRATCOM and Department of Defense security requirements
  • Must be able to work within classified operational environments and Sensitive Compartmented Information Facilities (SCIFs).


PHYSICAL DEMANDS

The employee may be required to work extended hours during exercises, crisis response operations, and short-notice production deadlines. Specific vision abilities required include close vision for detailed intelligence analysis. Must be able to lift up to 50 lbs periodically.


WORK ENVIRONMENT: Work is performed in secure government facilities supporting USSTRATCOM missions, exercises, and training activities. Position may require support during exercise execution periods and operational planning events.


Benefits

Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.


Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify