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

USfalcon, Inc.

Front-End Developer, Craftsman

Omaha, NE

$99K - $115K/yr

Direct experience supporting USSTRATCOM, Combatant Command, or Department of Defense analytics ... Familiarity with artificial intelligence, machine learning, and statistical modelingsupport ...

USfalcon

Front-End Developer, Craftsman

Omaha, NE · On-site

$99K - $115K/yr

Direct experience supporting USSTRATCOM, Combatant Command, or Department of Defense analytics ... Familiarity with artificial intelligence, machine learning, and statistical modeling support to ...

Mars, Incorporated

Machine Operator Nights

Fremont, NE · On-site

$16.25 - $19.50/hr

Meet or exceed the plant productivity goal for the shift by identifying and directing operational ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

Mars

Machine Operator Nights

Fremont, NE · On-site

$16.25 - $19.50/hr

Meet or exceed the plant productivity goal for the shift by identifying and directing operational ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

Mars

Machine Operator Days

Fremont, NE · On-site

$16.25 - $19.50/hr

Meet or exceed the plant productivity goal for the shift by identifying and directing operational ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

Mars, Incorporated

Machine Operator Days

Fremont, NE · On-site

$16.25 - $19.50/hr

Meet or exceed the plant productivity goal for the shift by identifying and directing operational ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Omaha, NE

Director Machine Learning information

See Omaha, NE salary details

$34.4K

$87.9K

$134.9K

How much do director machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for director machine learning in Omaha, NE is $87,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, 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 Director Machine Learning jobs in Omaha, NE?

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

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

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

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,945 per year, or $42.3 per hour.

Front End Developer (Journeyman)

Spiral Solutions and Technologies, Inc.

NE • On-site

$98K - $114K/yr

Other

Re-posted 9 days ago

Job description

Description
Position Overview
Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Front-End Developer to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7).
The Front-End Developer provides front-end development and visualization support for USSTRATCOM assessment data, dashboards, and decision-support tools. The selected candidate will develop user interfaces with modern web technologies, integrate data-driven applications, and support analytics products that enable senior leader decision-making across campaign, operations, and Joint Force assessments.
Security Clearance Requirements
This position supports classified programs and requires access to classified systems and material. All contractor personnel must be United States citizens and possess a Top-Secret clearance with eligibility for Sensitive Compartmented Information, Nuclear Command and Control/Extremely Sensitive Information, and Special Access Program access prior to commencing work.
Requirements
Key Responsibilities
• Create tools and dashboards to support decision-making across competition, planning in crisis, combat, risk, exercise, and other-directed assessments.
• Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms.
• Build and support interactive, web-based data visualizations and dashboards using modern front-end libraries and frameworks.
• 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.
• Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions.
• Support structured data systems that ensure accuracy, maintainability, scalability, and secure access.
• Assist with integration of external data sources and connectors, including support for database-driven applications and visualization platforms.
• Contribute to data and analytics efforts that use emerging analytical techniques, visualization methods, and artificial intelligence or machine learning-enabled processes.
• Participate in boards, bureaus, centers, cells, and working groups and support continuous improvement of assessment tools, processes, and products.
Required Qualifications
• Experience developing user interfaces with modern web technologies, specifically the React framework.
• Experience with MAVEN Smart Systems.
• Experience creating interactive, web-based data visualizations and dashboards using modern libraries.
• Experience with database-driven applications, version control, and normalization.
• Experience with automatization of tasks using languages like Python or JavaScript.
• Familiarity with querying external databases via Application Programming Interfaces (APIs) and Really Simple Syndication (RSS) feeds.
• Experience working in Agile environments and collaborating with cross-functional teams.
• A bachelor's degree or higher in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, and/or applied physics or equivalent is required.
• A minimum of 7 years of combined front-end development and visualization experience
• U.S. citizenship required.
Preferred Qualifications
• Direct experience supporting USSTRATCOM, Combatant Command, or Department of Defense analytics, assessment, or visualization efforts.
• Experience integrating front-end applications with databases, APIs, RSS feeds, and analytics platforms in classified or mission-focused environments.
• Familiarity with artificial intelligence, machine learning, and statistical modeling support to decision-support tools and visual analytics products.

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