1

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

$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 ...

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience working with large, complex datasets and applying statistical or machine learning methods 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 14, 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.

Data Analyst - JETARS

Offutt Air Force Base, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Data AnalystLocation: Offutt AFB, NE Clearance: Active TOP SECRET with eligibility for SCI. Join a Mission-Driven Team at The GARRETT GROUPAt The GARRETT GROUP, we believe the best solutions begin with a great team of people. When you join us, you become part of a collaborative, mission-focused community committed to excellence in everything we do. We take pride in supporting our nation's most critical missions while creating an environment where our employees can thrive.Our team members enjoy a comprehensive benefits package-including a competitive 401(k) with company match, generous Paid Time Off, flexible work schedules, medical, dental, and vision coverage, short-term disability, and company-paid life insurance-because taking care of you enables you to take care of the mission.Position OverviewThe GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense environment. The selected candidate will be responsible for designing and implementing enterprise-level data collection strategies, managing and analyzing large and complex datasets, and delivering actionable insights to support operational and strategic decision-making.This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will possess the ability to lead analytical projects, collaborate across multidisciplinary teams, and communicate complex findings to technical and non-technical stakeholders.Key ResponsibilitiesThe Data Analyst will design and manage data collection processes, analyze large and complex datasets, develop machine learning models, and create analytical products using Python, R, SQL, and Business Intelligence tools. The role supports mission decision-making through data visualization, automation, project leadership, Agile collaboration, and delivery of actionable insights to technical and senior leadership teams.Required QualificationsBachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical discipline. Minimum of 7 years of experience designing and implementing data collection strategies, data management solutions, and advanced analysis of large, complex datasets. Demonstrated experience leading analytical or technical projects and coordinating cross-functional teams. Direct experience developing, testing, and deploying Machine Learning models. Expertise with: Python R Business Intelligence tools Data cleaning and data wrangling methodologies Proficiency with: Structured Query Language (SQL) Database management concepts and practices Familiarity with Agile methodologies and participation in sprint planning, backlog grooming, and retrospectives. Strong analytical, problem-solving, and critical-thinking skills. Excellent written and verbal communication skills, including the ability to brief senior leadership. The GARRETT GROUP is an Equal Opportunity Employer.
Job Posted by ApplicantPro