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Machine Learning Engineer Python Jobs in Sandy, OR

NGA AI Engineer Manager

Portland, OR

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... Python /Perl or others) and CAD automation tools. - Knowledge of industry standard circuit and ...

Principal Data Scientist

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Engineers to validate source data and develop data pipelines that feed into machine learning ... Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS

Principal Data Scientist

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Engineers to validate source data and develop data pipelines that feed into machine learning ... Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI Scientist Senior II

Portland, OR · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expert in generative AI, machine learning, deep learning, and advanced AI/ML techniques. * Proficient in Python, software engineering principles (design patterns, testing, CI/CD), and MLOps. * Strong ...

Showing results 41-60

Machine Learning Engineer Python information

See Sandy, OR salary details

$24.2K

$147.1K

$212.8K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer python in Sandy, OR is $147,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $172,900.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a machine learning engineer python?

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 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.

Infographic showing various Machine Learning Engineer Python job openings in Sandy, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $147,096 per year, or $70.7 per hour.

Full-time

Medical, Life, Retirement, PTO

Re-posted 29 days ago


Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

162nd of 619 rated colleges and universities


Job description

This position requires the development of artificial intelligence (AI) and mechanistic models of type 1 and type 2 diabetes. The position also requires the integration of these AI and mechanistic models into decision support systems. 

The successful candidate will have experience developing AI and mechanistic models of type 1 and type 2 diabetes and integrating these models into decision support systems. The successful candidate will have a PhD in biomedical engineering or related fields with expertise in AI, machine learning, physiologic modeling, and recommender systems. The candidate will have expertise in the python programming language as well as AI/ML tools including TensorFlow, Scikit-learn, and other programming tools. The candidate will have experience writing and publishing first-author publications in peer reviewed journals. The candidate will have experience mentoring junior lab members in an academic environment.


  • Development of AI and mechanistic models to represent glucose dynamics in type 1 and type 2 diabetes.
  • Integration of AI and mechanistic models into decision support and recommender systems for people with type 1 and type 2 diabetes.
  • Write manuscripts and submit to peer-reviewed journals.
  • Mentor students and junior lab members.
  • Other duties as assigned.

  • PhD, MD or MD/PhD in relevant field.
  • Expertise with quantile random forest training and evaluation for use in recommender systems. 
  • Skills developing mechanistic and AI-based physiologic models. 
  • Knowledge of integrating AI and mechanistic models to create physiologic digital twins. 
  • Working knowledge developing multiple types of machine learning algorithms. 
  • Skills with python, TensorFlow, and Scikit-learn.

This job will be at the OHSU Center for Health and Healing, 13th floor, where the AIMS lab is located. The candidate is permitted to work remotely for 1-2 days per week. There is no travel required, but the candidate may present work at international conferences.

Benefits 

  • Healthcare for full-time employees covered 100% and 88% for dependents.
  • $50K of term life insurance provided at no cost to the employee.
  • Two separate above market pension plans to choose from.
  • Paid time off - 208 hours per year, prorated for part-time.
  • Extended illness bank - 64 hours per year, prorated for part-time.
  • 9 paid holidays per year.
  • Substantial Tri-Met and C-Tran discounts.
  • Employee Assistance Program.
  • Childcare service discounts.
  • Tuition reimbursement.
  • Employee discounts to local and major businesses.

We are Oregon's only public academic health center.
In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington.
All are welcome.
OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply.
To request reasonable accommodation, contact askhr@ohsu.edu

What Oregon Health & Science University employees say

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887