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Junior Machine Learning Engineer Jobs in Nebraska

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

Leidos

Junior Software Engineer

Omaha, NE · Hybrid

$69.55K - $125.73K/yr

The Defense Sector at Leidos is currently seeking a Junior Software Engineer with 2+ years of ... A collaborative team environment that values learning, feedback, and improvement * Support for ...

DMSi Software

Sr Data Engineer

Omaha, NE · On-site

$96.20K - $130.70K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

Maximus

AI/ML Software Developer

Grand Island, NE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Lincoln, NE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Kearney, NE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Bellevue, NE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Omaha, NE · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Deckers

Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ... Strong AWS data engineering expertise including scalability, reliability, and cost optimization

Agile Defense

Data Scientist

Omaha, NE

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

Sandhills Global

Data Scientist

Lincoln, NE · On-site

The role involves developing statistical and machine learning models, visualizing insights, and collaborating with software developers to enhance products for better customer service.

HDR

Software Engineer

Omaha, NE · On-site

Provide guidance and support to junior developers. * Identify opportunities for technical and ... Exposure to AI or machine-learning concepts and tools. Qualifications Required Qualifications

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Junior Machine Learning Engineer information

See Nebraska salary details

$31.9K

$68.5K

$104.4K

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

As of May 29, 2026, the average yearly pay for junior machine learning engineer in Nebraska is $68,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $76,300.00 per year, depending on experience, location, and employer.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Nebraska? The most popular types of Machine Learning Engineer jobs in Nebraska are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Nebraska? For Junior Machine Learning Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Nebraska look for? The top searched job categories for Junior Machine Learning Engineer jobs in Nebraska are:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Nebraska as of May 2026, with employment types broken down into 75% Full Time, 16% Part Time, 3% Temporary, 5% Contract, and 1% Nights. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $68,457 per year, or $32.9 per hour.

Sr Data Engineer

DMSi Software

Omaha, NE • On-site

$96.20K - $130.70K/yr

Full-time

Posted 12 days ago

Job description

As part of our evolving Product strategy, DMSi seeks to expand our footprint of usable data at scale. DMSi creates and operates technology solutions to support the Building Materials industry. We want to offer uses for our data which serve future product initiatives, customer and business self-service needs, and broader industry needs. All the while, we intend to produce a cloud-based, multi-tenant, data environment which is responsive to the evolving nature of the data landscape and the industry.

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of data products—from enterprise data access to AI-powered analytics, building, scaling, and evolving our data pipeline, and shipping products that building materials professionals will use every day.

You'll work within DMSi's broader architectural ecosystem, collaborating closely with Systems Engineering, Information Security, and the Architecture teams. As the expert voice for data, you'll advocate for best practices and drive execution within those guardrails. 

 RESPONSIBILITIES AND DUTIES:

  1. Own the Data Pipeline
    • Design, build, and evolve the data pipelines that power DMSi's data products—working within our established stack (PostgreSQL, Kafka, dbt).
    • Drive technical decisions for scalable and performant data extraction, transformation, and delivery—selecting tools, evaluating build vs. buy, and establishing frameworks and processes.
    • Establish data governance standards and quality assurance practices.
    • Serve as DMSi's internal expert on data engineering best practices.
  2. Ship Products 
    • Launch multiple data products, including enterprise data access (PostgreSQL), event streaming (Kafka), and in-app analytics.
    • Build production-ready pipelines that deliver customer data reliably at scale in a multi-tenant environment.
    • Create a foundational data infrastructure to support AI and machine learning capabilities across DMSi's product portfolio.
    • Partner with Product to iterate quickly from customer feedback to deployed improvements.
  3. Collaborate Across Teams 
    • Work closely with Systems Engineering and Architecure to ensure data infrastructure integrates seamlessly with DMSi's broader technical operations.
    • Partner with Information Security to implement data security, access controls, and compliance requirements.
    • Provide technical leadership and mentorship to Data Engineers on the team.
    • Conduct code reviews that elevate quality and transfer knowledge across the organization.

KNOWLEDGE, SKILLS, AND ABILITIES:
5+ years of hands-on data engineering experience, with at least 2 years in a senior or lead capacity.
Deep expertise in SQL designing schemas, optimizing queries, and troubleshooting performance issues confidently.
Production experience building and maintaining data pipelines using modern tools (dbt strongly preferred; experience with Airflow, Meltano, Singer, or similar also valuable).
Strong Python skills for data processing, automation, and scripting.
Cloud infrastructure experience (AWS and GCP preferred: S3, Glue, Athena, Redshift, Lake Formation).
DevOps fluency—CI/CD pipelines, containerization, and infrastructure-as-code are familiar territory.
Collaborative mindset and strong communication skills.
Background in building data products or platforms (not just internal analytics).
Exposure to machine learning pipelines or feature stores.

EDUCATION AND EXPERIENCE: 
Bachelor or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems, or related field preferred.
Well-experienced in working in Agile shop.

WORK ENVIRONMENT AND PHYSICAL DEMANDS:
Normal office environment with use of computers and telephone systems; no unusual physical demands.
Travel to customer locations including overnight, business air travel, and car rental.

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