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Machine Learning Engineer Python Jobs in Nebraska

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 ...

Sandhills Global

Data Scientist

Lincoln, NE · On-site

... machine learning models, visualizing insights, and collaborating with software developers to ... Python or R, and various libraries/packages • Ability to gain knowledge of the products and ...

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.

The Buckle, Inc.

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

... machine learning and AI applications. • Develop and maintain cloud-based enterprise scale ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. Company : Buckle operates ...

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 ...

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 ...

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Machine Learning Engineer Python information

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 Nebraska? For Machine Learning Engineer Python jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Nebraska look for? The top searched job categories for Machine Learning Engineer Python jobs in Nebraska are:
What cities in Nebraska are hiring for Machine Learning Engineer Python jobs? Cities in Nebraska with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE

Full-time

Posted 17 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 1,002 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2025 - 291 Department Neurological Sciences 50001975 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule As directed by supervisor Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 12/16/2025
Position Qualification
Position Summary
The WANG Lab at the University of Nebraska Medical Center's Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc.
Required Qualifications:
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Questions may be directed to Dr. Jieqiong Wang at jiwang@unmc.edu
Required Qualifications
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.
Supplemental Qualifications

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