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Python Machine Learning Jobs in Oregon (NOW HIRING)

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) Experience with time-series data ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data ...

Instacart

OR

Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools. * Self-motivation and a strong sense of ownership

BetterHelp

OR · On-site

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Strong Python programming skills * Experience working with NLP and Large Language Models

Instacart

OR

Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning, algorithms, or optimization * Curious, self-motivated, and comfortable working on open-ended ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

iHerb

OR

$134K - $180K/yr

Java, C#, Python) * Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.) * Experience building machine learning infrastructure ...

phData

OR · On-site

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... Hands-on expertise in modern programming languages such as Python, Scala, Java, or similar ...

Intel

Machine Learning Engineer

Hillsboro, OR

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Proficient in Python * Proficient in LLM architectures, optimization and model training dynamics.

Natera

OR

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Hands-on expertise with PyTorch and strong production-level programming skills in Python

OneStudyTeam

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas ...

Upstart

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost)

Anno.ai

OR · On-site

$104K - $143K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test ... Strong proficiency in Python and familiarity with at least one deep learning framework (e.g ...

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How much do python machine learning jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for python machine learning in Oregon is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.38 per hour, depending on experience, location, and employer.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence or machine learning, often requiring advanced skills in programming, data analysis, and deep learning frameworks. Such roles are usually found in senior or executive levels, involving leadership, research, or specialized technical expertise, and may require relevant certifications or advanced degrees.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

For Python machine learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist due to their need for complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced programming skills, understanding of algorithms, and the ability to adapt to new tools and techniques as AI evolves. Continuous learning and staying updated with frameworks like TensorFlow or PyTorch are essential for long-term relevance.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What is the salary of machine learning with Python?

The salary for a Python machine learning engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, deep learning, and relevant tools like TensorFlow or scikit-learn tend to earn higher salaries.
What are popular job titles related to Python Machine Learning jobs in Oregon? For Python Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning jobs in Oregon look for? The top searched job categories for Python Machine Learning jobs in Oregon are:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Re-posted 14 days ago

Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
    Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field 
    5+ years of experience in machine learning, data science, or AI engineering 
    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
    Experience with time-series data analysis and anomaly detection 
    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
    Experience deploying ML models in production systems 
    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
    Experience with graph-based ML / Graph Neural Networks (GNNs) 
    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
    Experience with vector databases, RAG systems, or LLM-based reasoning 
    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
    Experience working in air-gapped or high-security environments 
 

Additional Information

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