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Machine Learning Engineer Python Jobs in Omaha, NE

... machine learning, deep learning, natural language processing, and computer vision. - Proficiency in programming languages such as Python, Java, or C++. - Experience with popular AI frameworks and ...

Data Engineer AI

Omaha, NE · On-site

$109K - $131K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... Mastery of Python, SQL, and PySpark. Deep experience with data orchestration and containerization ...

New

Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies. * Strong programming skills in Python, R, or similar analytical languages.

Site Reliability Engineer

Omaha, NE · Hybrid

$51.75 - $68.75/hr

... decision-making leveraging machine learning and normal versus abnormal system behaviors ... Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for automation. Familiarity ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

Strong programming skills in Python, SQL, and C# * Experience with machine learning, deep learning, or NLP * Experience with cloud platforms and MLOps practices * Strong analytical, problem-solving ...

... and machine learning, collaborating closely with business leaders and product teams ... • Strong programming skills in Python or R with experience in data analysis libraries and ...

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Site Reliability Engineer

Omaha, NE · On-site

$51.75 - $68.75/hr

... decision-making leveraging machine learning and normal versus abnormal system behaviors ... Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for automation. Familiarity ...

... machine learning modules through feature engineering Evaluate and execute automated machine ... Proficiency with data science languages such as Python and R * Ability to handle confidential ...

... machine learning modules through feature engineering Evaluate and execute automated machine ... Proficiency with data science languages such as Python and R * Ability to handle confidential ...

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Machine Learning Engineer Python information

See Omaha, NE salary details

$22K

$133.9K

$193.7K

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

As of Jun 25, 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 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 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 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:

Other

Posted 21 days ago


Job description

We are seeking a highly skilled and experienced AI Innovator to join our dynamic team and lead the design and implementation of advanced AI solutions.

Job Overview:

As an AI Innovator, you will play a pivotal role in shaping our client AI strategy and driving the development of intelligent systems. You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements, design AI solutions, and oversee their successful implementation. Your expertise and leadership will be crucial in ensuring the scalability, reliability, and performance of our client’s AI applications.

Responsibilities:

- Lead the architectural design and development of AI solutions, including machine learning models, natural language processing systems, computer vision applications, and data pipelines.

- Collaborate with data scientists and engineers to identify requirements and translate them into scalable AI architectures.

- Design and implement data ingestion, storage, and processing strategies to support AI workflows.

- Conduct technology assessments and make recommendations on AI frameworks, tools, and infrastructure.

- Ensure adherence to best practices in AI development, including model training, validation, and deployment.

- Work closely with stakeholders to understand business objectives and align AI solutions with strategic goals.

- Keep up-to-date with advancements in AI technologies, evaluate their potential applications, and propose innovative solutions.

- Provide technical guidance and mentorship to client’s.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. in a relevant discipline is a plus.

- Proven experience as an AI Architect or a similar role, with a strong background in designing and implementing AI solutions at an enterprise level.

- Expertise in machine learning, deep learning, natural language processing, and computer vision.

- Proficiency in programming languages such as Python, Java, or C++.

- Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, or Keras.

- Solid understanding of cloud-based AI services and platforms, such as AWS, Azure, or Google Cloud.

- Strong knowledge of data engineering principles and tools, including data ingestion, ETL, and data storage.

- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.

- Excellent problem-solving skills and ability to think strategically.

- Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.