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Online Machine Learning Jobs in Nebraska (NOW HIRING)

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Develop, test, and deploy machine learning and statistical models. * Create predictive analytics solutions to support operational and strategic objectives. * Design and maintain data pipelines and ...

Develop, test, and deploy machine learning and statistical models. * Create predictive analytics solutions to support operational and strategic objectives. * Design and maintain data pipelines and ...

Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies ...

They are seeking a Data Analyst to build and maintain data systems, automate monitoring processes, and deliver actionable insights through advanced analytics and machine learning. The role requires ...

Python Tutor

Omaha, NE · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Python Tutor

Lincoln, NE · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

... Live Learning Platform has thousands of students looking for online Statistics Graduate Level ... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Business Analytics Tutor

Omaha, NE · Remote

$18 - $40/hr

... online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Ability to explain statistical modeling techniques, machine learning basics, and business ...

Business Analytics Tutor

Lincoln, NE · Remote

$18 - $40/hr

... online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Ability to explain statistical modeling techniques, machine learning basics, and business ...

Apply machine learning algorithms , statistical modeling , and predictive analytics to solve mission-critical challenges. * Design and maintain data pipelines , ensuring the efficient collection ...

Apply machine learning algorithms , statistical modeling , and predictive analytics to solve mission-critical challenges. * Design and maintain data pipelines , ensuring the efficient collection ...

Linear Algebra Tutor

Omaha, NE · Remote

$18 - $40/hr

... Live Learning Platform has thousands of students looking for online Linear Algebra tutors ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

... Live Learning Platform has thousands of students looking for online Statistics Graduate Level ... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Linear Algebra Tutor

Lincoln, NE · Remote

$18 - $40/hr

... Live Learning Platform has thousands of students looking for online Linear Algebra tutors ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

The selected candidate will leverage advanced analytical techniques, statistical methodologies, machine learning models, and artificial intelligence capabilities to identify patterns, trends, and ...

The selected candidate will leverage advanced analytical techniques, statistical methodologies, machine learning models, and artificial intelligence capabilities to identify patterns, trends, and ...

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Online Machine Learning information

See Nebraska salary details

$24.3K

$40.6K

$83.9K

How much do online machine learning jobs pay per year?

As of Jul 19, 2026, the average yearly pay for online machine learning in Nebraska is $40,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong domain expertise can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and a track record of impactful projects.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

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

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

Are there remote machine learning jobs?

Yes, many remote machine learning jobs are available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. These roles can be full-time or part-time and may involve collaboration through online platforms and cloud-based environments.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require advanced skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What are the most commonly searched types of Machine Learning jobs in Nebraska? The most popular types of Machine Learning jobs in Nebraska are:
What cities in Nebraska are hiring for Online Machine Learning jobs? Cities in Nebraska with the most Online Machine Learning job openings:
Infographic showing various Online Machine Learning job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $40,601 per year, or $19.5 per hour.
Journeyman Data Scientist

Full-time

Posted 24 days ago


Job description

Minimum Clearance RequiredSecretResponsibilities

Journeyman Data Scientist:

A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with stakeholders to support business decisions.

Job Duties
  • Collect, clean, and prepare structured and unstructured data from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop, test, and deploy machine learning and statistical models.
  • Create predictive analytics solutions to support operational and strategic objectives.
  • Design and maintain data pipelines and analytical workflows.
  • Build dashboards, reports, and visualizations to communicate findings.
  • Validate model performance and recommend improvements.
  • Conduct data quality assessments and ensure data integrity.
  • Document methodologies, code, and analytical processes.
  • Support business units by translating complex data into actionable insights.
QualificationsTechnical Responsibilities
  • Apply statistical analysis, machine learning, and data mining techniques.
  • Develop algorithms and predictive models using programming languages such as Python, R, or SQL.
  • Work with large datasets using cloud and big data platforms.
  • Optimize model accuracy, scalability, and performance.
  • Implement model monitoring and maintenance procedures.
Business Responsibilities
  • Partner with business stakeholders to understand requirements and objectives.
  • Present findings and recommendations to technical and non-technical audiences.
  • Support data-driven decision-making across departments.
  • Identify opportunities for process improvement and automation.
Team Responsibilities
  • Collaborate with data engineers, software developers, analysts, and project managers.
  • Mentor junior data scientists and analysts.
  • Participate in code reviews and knowledge-sharing activities.
  • Follow organizational standards, governance, and security requirements.
Required Experience

Clearance Required: Secret or TS/SCI (not sure on this yet)

Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Master's degree preferred for some organizations.
Professional Experience
  • Typically 3-7 years of experience in data science, analytics, machine learning, or a related field.
  • Experience working with large-scale datasets and production environments.
  • Proven track record of delivering analytical solutions that drive business outcomes.
Technical Skills
  • Programming: Python, R, SQL.
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost.
  • Data Visualization: Tableau, Power BI, Matplotlib, Plotly.
Employment Type: FULL_TIME