ZipRecruiter

Log In

1

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

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

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 ...

Fiserv, Inc.

A.I. Transformation Lead

Omaha, NE · On-site

$141K - $225K/yr

Lead the design, development, and deployment of AI and machine learning solutions across business ... Cobol Programming * IBM tools, monitoring tools, RMF, DB2 utilities, Platinum Detector, etc. You ...

Monitise

A.I. Transformation Lead

Omaha, NE · On-site

Lead the design, development, and deployment of AI and machine learning solutions across business ... Cobol Programming * IBM tools, monitoring tools, RMF, DB2 utilities, Platinum Detector, etc. You ...

Monitise

A.I. Transformation Lead

Omaha, NE

$141K - $225K/yr

Lead the design, development, and deployment of AI and machine learning solutions across business ... Cobol Programming * IBM tools, monitoring tools, RMF, DB2 utilities, Platinum Detector, etc. You ...

Monitise

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Machine Learning & LLM Enablement (OnPrem) * Design and deploy onprem ML and LLM solutions for ... Develop ML pipelines for feature engineering, training, validation, and inference using ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Eaton

Machine Operator - 3rd Shift

Omaha, NE · On-site

$21/hr

The ability to read and interpret engineering prints and provide input/program the above machines ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

previous pagenext page

Showing results 21-40

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

Machine Learning Engineer Opt information

See Omaha, NE salary details

$30.1K

$123.2K

$185.1K

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

As of Jul 28, 2026, the average yearly pay for machine learning engineer opt 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 are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Omaha, NE? For Machine Learning Engineer Opt jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Omaha, NE look for? The top searched job categories for Machine Learning Engineer Opt jobs in Omaha, NE are:
Machine Learning Engineer Opt jobs near you
Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE

Full-time

Posted 3 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

Apply