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Entry Level Machine Learning Engineer Jobs in Omaha, NE

ExlService Holdings, Inc.

Intern

Omaha, NE · On-site

$14.25 - $19.25/hr

By integrating cutting-edge technologies like machine learning, AI, and cloud computing, we enable ... Current undergraduate Sophomore in engineering, business, economics, computer science, mathematics ...

micro1 AI

Domain Expert - (STEM PhD)

Omaha, NE · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

SynergisticIT

Python Programer

Omaha, NE · On-site

AI and Machine Learning. * Front-end technologies. * Communication Skills. * Know the classes of ... Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering ...

SynergisticIT

Python Programmer

Omaha, NE · On-site

AI and Machine Learning. * Front-end technologies. * Communication Skills. * Know the classes of ... Engineering/Information Systems/Information Technology/Electrical Engineering/Mechanical ...

DataAnnotation

SDLC Engineer - AI Trainer

Omaha, NE · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DMSi Software

Site Reliability Engineer

Omaha, NE · Hybrid

$51.75 - $68.75/hr

As a Site Reliability Engineer, your primary responsibility will be to review, optimize, and ... decision-making leveraging machine learning and normal versus abnormal system behaviors.

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Entry Level Machine Learning Engineer information

See Omaha, NE salary details

$28.7K

$66.4K

$112.9K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for entry level machine learning engineer in Omaha, NE is $66,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $75,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 Entry Level Machine Learning Engineer jobs in Omaha, NE? For Entry Level Machine Learning Engineer jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Omaha, NE look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Omaha, NE are:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Omaha, NE as of June 2026, with employment types broken down into 57% Full Time, 40% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $66,353 per year, or $31.9 per hour.
Looking for A/ML Engineer @ Omaha, NE

Looking for A/ML Engineer @ Omaha, NE

Lorven Technologies

Omaha, NE • On-site

Full-time

Posted 11 hours ago

Job description

Must have:
Strong programming skills in python and experience with ml libraries
Experience building and deploying machine learning models in production environments
Solid understanding of data structures, algorithms, and software engineering best practices
Experience with data pipelines, feature engineering, and model lifecycle management
Familiarity with cloud platforms (azure, aws, or gcp) and model deployment frameworks
Experience working with structured and unstructured data (e.g., text, images, tabular)
Strong knowledge of sql and data processing tools
Ability to translate business problems into analytical and modeling solutions
Good To Have:
Experience With Llms / Generative Ai, Rag Architectures, Or Nlp Use Cases
Exposure To Mlops Frameworks (Model Monitoring, Ci/Cd Pipelines, Model Versioning)
Experience With Databricks, Snowflake, Or Distributed Data Processing Tools (Spark)
Knowledge Of Api Development And Integrating Ml Models Into Applications
Exposure To Optimization / Operations Research Methods
Experience In Real-Time Or Streaming Data Environments
Experience Level: Mid-Level, 3-7 years of experience (academic work taken into account)
Desired Profile:
Strong Analytical And Problem-Solving Mindset With Attention To Detail
Ability To Work Across Teams And Translate Business Needs Into Technical Solutions
Proven Ability To Own Deliverables End-To-End And Operate With Minimal Oversight
Effective Communicator Who Can Explain Complex Models To Non-Technical Stakeholders
Comfortable Working In An Iterative, Fast-Paced Environment With Evolving Priorities
Passion For Ai/Ml Innovation And Continuous Learning
Experience Collaborating In Cross-Functional Teams (Engineering, Business, Operations)
Strong Focus On Quality, Scalability, And Production-Grade Solutions
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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