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Machine Learning Engineer Python Jobs in Omaha, NE

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.

... Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

... 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 ...

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts ... machine learning and statistical methods to find hidden patterns, discover tasks and processes ...

... 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 ...

Finance Analytics & AI Senior Consultant

Omaha, NE · On-site

$111.40K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

Data Engineer

Omaha, NE

$109.50K - $131.50K/yr

Preferred Skills * 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g ...

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Preferred Skills * 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g ...

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Research Intern

Bellevue, NE · On-site

$45 - $57/hr

Proficiency in R and/or Python for data analysis * Familiarity with at least one area of machine learning concepts such as Computer Vision, Deep Learning, or Algorithmic Foundations of Optimization

DevOps Engineer

Omaha, NE · On-site

$50.50 - $69/hr

Bash, Python, Terraform, Ansible • Experience developing and maintaining CI/CD pipelines on cloud ... machine learning, and mission support and engineering services to the Intelligence Community ...

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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 4, 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 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 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 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 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 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:
AI Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

61st of 416 rated machine equipment manufacturers


Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.
At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge - including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
Job Description
Roles and Responsibilities
Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models to join the GE Healthcare AI group. As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
Additionally, you will be responsible for:
  • Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
  • Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
  • Exploring learning from human feedback and assisting humans evaluating AI.
  • Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
  • Working with large-scale datasets, designing, and developing generative algorithms.
  • Staying current on published state-of-the-art algorithms and competing technologies.

Basic Qualifications
  • Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
  • Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
  • Demonstrated expertise in building large scale AI such as generative AI models.
  • Implementation experience with a variety of high-level languages (e.g. Python, C++)
  • Experience with high-dimensional imaging data and waveform/time-series data.

Preferred Qualifications
  • Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
  • Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
  • Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
  • Experience working with large scale AI training.
  • An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
  • Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
  • In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
  • Experience creating production environment data analytics and applications

Eligibility Requirements
  • Must be willing to travel to attend meetings, workshops, conferences & etc.
  • Must be willing to work out of an office located in Bellevue, WA.

About Team
GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.
Work/Life Balance
Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don't focus on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Mentorship & Career Growth
We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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