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Freelance Machine Learning Engineer Jobs in Oregon

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 ...

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 ...

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 ...

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering ...

OR

$114.40K - $137.40K/yr

Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights:

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

New

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

New

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

Automation Anywhere, the leader in Agentic Process Automation (APA), is seeking a Staff Machine Learning Engineer to help power the next generation of AI-driven digital agents transforming enterprise ...

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment type: Full-time Description: We are seeking a highly skilled and innovative Machine Learning Engineer ...

OR · On-site

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

OR · On-site

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

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Freelance Machine Learning Engineer information

See Oregon salary details

$15

$50

$139

How much do freelance machine learning engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for freelance machine learning engineer in Oregon is $50.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $65.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Engineer, and why are they important?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What does a Freelance Machine Learning Engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Oregon? The most popular types of Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Freelance Machine Learning Engineer jobs in Oregon? For Freelance Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Freelance Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Freelance Machine Learning Engineer jobs? Cities in Oregon with the most Freelance Machine Learning Engineer job openings:
Infographic showing various Freelance Machine Learning Engineer job openings in Oregon as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,915 per year, or $50.4 per hour.

Machine Learning Engineer

Chabez Tech

Portland, OR • On-site

Contractor

Posted 5 days ago


Job description

Company 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
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.