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

Lorven Technologies

AI/ML Engineer

Omaha, NE · On-site

EXPERIENCE BUILDING AND DEPLOYING MACHINE LEARNING MODELS IN PRODUCTION ENVIRONMENTS * SOLID UNDERSTANDING OF DATA STRUCTURES, ALGORITHMS, AND SOFTWARE ENGINEERING BEST PRACTICES * EXPERIENCE WITH ...

Webforge

Associate Machine Design Engineer

Omaha, NE · On-site

The Associate Machine Design Engineer supports the design and development of proprietary ... This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ...

Kemper

Data Science Manager

Omaha, NE · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

The Garrett Group

Data Analyst - JETARS

NE · On-site

This role requires strong technical expertise in data science methodologies, machine learning model ... Engineering, Information Systems, or a related technical discipline. Minimum of 7 years of ...

Dark Wolf

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 ...

Qualis1 Inc

Talend Developer: Onsite Role

Omaha, NE · On-site

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 ...

Cordova

AI Architect

Omaha, NE · On-site

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

Dark Wolf

Senior DevOps Engineer

Omaha, NE · On-site

$124K - $159K/yr

... 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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Omaha, NE

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 Aug 7, 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 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 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 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.

More about Machine Learning Engineer jobs
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 cities near Omaha, NE are hiring for Machine Learning Engineer jobs? Cities near Omaha, NE with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Omaha, NE as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $123,184 per year, or $59.2 per hour.

Extended Expertise Engineer with Security Clearance

Zachary Piper Solutions, LLC

Omaha, NE • On-site

$150K - $170K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Zachary Piper Solutions is seeking an experienced an Extended Expertise Engineer to support a leading enterprise cybersecurity platform known for next-generation firewalls, cloud security, zero trust, and AI-driven threat detection. This is an onsite position located in Omaha, Nebraska & requires an active TS/SCI security clearance. The Extended Expertise Engineer is an integral part of our client's mission within their Professional Services team. As an Extended Expertise Engineer, you will work on-site/remote with the client's customer(s) supporting their mission to help them quickly and completely adopt their End Pointy Platform, leaving them more secure. This is a highly technical, hands-on role and you will develop and maintain expert-level skill sets on the products and solutions deployed within the customer's environment. Responsibilities of the Extended Expertise Engineer: * Serve as the primary technical advisor for customers, understanding their business requirements, security objectives, and industry-specific threat landscape to deliver effective security outcomes.
* Lead endpoint protection deployments, operationalization, troubleshooting, optimization, and end-user training to ensure successful adoption and long-term value.
* Drive customer success by providing deployment guidance, accelerating time-to-value, expanding product adoption through new features and innovative use cases, and serving as the product subject matter expert throughout the customer lifecycle.
* Partner with product and engineering teams to resolve technical issues, provide customer feedback, and maximize platform capabilities for customers and partners.
* Perform security operations activities including incident response, threat hunting, detection engineering, alert tuning, custom BIOC development, correlation rule creation, and onboarding new log sources into XDR platforms.
* Support log ingestion, parsing, and integration efforts while leveraging SIEM and XDR technologies to improve detection and response capabilities.
* Troubleshoot networking, endpoint, cloud, and operating system issues across enterprise environments, utilizing scripting and automation where appropriate. Qualifications for the Extended Expertise Engineer: * Experience deploying, operationalizing, troubleshooting, and training customers on endpoint protection solutions, with a background as a Security Incident Responder, SOC Analyst, or SOC Manager in customer-facing environments.
* Strong understanding of cloud technologies and security use cases across AWS, Azure, and Google Cloud Platform (GCP), as well as enterprise security products, IT infrastructure, networking fundamentals (TCP/IP, OSI Model), and basic Linux administration and troubleshooting.
* Hands-on experience with threat hunting, detection engineering, alert tuning, custom BIOC development, correlation rule creation, XDR log ingestion and parsing, SIEM platforms (e.g., Splunk), XDR APIs, and query languages such as XQL, SQL, or similar.
* Experience analyzing customer requirements, guiding technical deployments, accelerating product adoption, and serving as a trusted technical advisor throughout the customer lifecycle.
* Familiarity with machine learning applications in cybersecurity and experience developing or maintaining automation scripts in Python or PowerShell.
* Active TS/SCI security clearance * Ability and willingness to work onsite in Omaha, NB Compensation for the Extended Expertise Engineer: * Salary Range: $150,000 - $170,000 *depending on experience* * Comprehensive Benefits: Medical, Dental, Vision, 401k Plan, PTO, Holidays, Sick Leave if required by law This job opens for applications on 08/6. Applications for this job will be accepted for at least 30 days from the posting date. #LI-MS1 #LI-ONSITE Keywords: Endpoint Protection, Endpoint Security, EDR, XDR, Cortex XDR, Security Incident Response, Incident Responder, SOC Analyst, SOC Manager, Threat Hunting, Detection Engineering, BIOCs, Behavioral Indicators of Compromise, Alert Tuning, Correlation Rules, Log Ingestion, Log Parsing, SIEM, Splunk, XQL, SQL, XDR APIs, Cloud Security, AWS, Azure, Google Cloud Platform, GCP, TCP/IP, OSI Model, Network Troubleshooting, Linux Administration, Python, PowerShell, Machine Learning, Customer Facing, Professional Services, Technical Consultant, Technical Advisor, Product SME, Product Adoption, Endpoint Deployment, Enterprise Security, Zero Trust, Next-Generation Firewall, NGFW, Palo Alto Networks, Cortex, Cybersecurity, Active TS/SCI, TS/SCI Clearance, Omaha, Nebraska

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