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Machine Learning Engineer Python Jobs in Omaha, NE

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

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 ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE

$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 ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ... Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.

Lorven Technologies

AI/ML Engineer

Omaha, NE · On-site

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 ...

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 ... Python for ML, data processing, and analytics Application Development * Experience integrating ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Python, C++) * Experience with high-dimensional imaging data and waveform/time-series data.

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Python, C++) * Experience with high-dimensional imaging data and waveform/time-series data.

Agile Defense

Data Scientist

Omaha, NE

... machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience developing ML ...

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Machine Learning Engineer Python information

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$22K

$133.9K

$193.7K

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

As of Jul 15, 2026, the average yearly pay for machine learning engineer python in Omaha, NE is $133,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $157,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

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 or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What are popular job titles related to Machine Learning Engineer Python jobs in Omaha, NE? For Machine Learning Engineer Python jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Omaha, NE look for? The top searched job categories for Machine Learning Engineer Python jobs in Omaha, NE are:
Machine Learning Engineer Python jobs near you
Journeyman Data Scientist

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

Full-time

Posted 21 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

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