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Online Machine Learning Jobs in Portland, OR (NOW HIRING)

You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies, understand business performance, and identify improvement ...

CNC Machine Operator NE Portland, OR $25.00/hour Job Overview We are seeking a CNC Machine Operator ... Professional development and online learning resources * Career advancement opportunities into ...

Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction; develop robust advanced analytics and machine learning ...

Python Tutor

Portland, OR · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

... online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Ability to explain statistical modeling techniques, machine learning basics, and business ...

Linear Algebra Tutor

Portland, OR · Remote

$18 - $40/hr

... Live Learning Platform has thousands of students looking for online Linear Algebra tutors ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration * Develop, train, and deploy ML models for Time-series ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business * Collaborate with other members ...

Showing results 21-40

Online Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do online machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for online machine learning in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.
What are the most commonly searched types of Machine Learning jobs in Portland, OR? The most popular types of Machine Learning jobs in Portland, OR are:
Infographic showing various Online Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

Supervisory Data Scientist

Bonneville Power Administration

Portland, OR • On-site, Remote

$135K - $176K/yr

Full-time

Posted 7 days ago


Bonneville Power Administration rating

9.8

Company rating: 9.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 844 rated public administrative organizations


Job description

Summary
This position is in the Data Analytics department (MOG) in the Office of Operational Performance (MO) under the Chief Operating Officer (K), Bonneville Power Administration (BPA).
This position serves as BPA's Analytics Officer, supervising advanced data analytics, data science, and machine learning. The incumbent manages the enterprise program and team, performing technical and consultative services supporting BPA agency-wide, while aligning with the Bureau, components, and federal partners.
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Duties
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About the Position - Portland
This position is located in Portland, OR which boasts huge spans of amazing trees, foliage, landscape, and everywhere you look you can appreciate beautiful greenery! It is known as the most bike-friendly city in America, has a train system that greets you at the airport spanning across the city, and is home to the Portland International Rose Garden, the oldest in the country! Portland is the one place where you will find lively festivals, energetic music, mouthwatering food, and for you basketball fans, the Portland Trail Blazers are a 7 minute walk from the HQs building! There is always something new to experience in this eco-friendly town!
As a Supervisory Data Scientist, you will:
  • Serve as the key policy formulator and decision-maker for long- and short-range strategic data science, machine learning, and advanced analytics planning in support of the overall Bonneville mission.
  • Act as the overall program authority and expert consultant for the design, integration, evaluation, and governance of BPA's highly technical data analytics program, strategy, and data life cycle end-to-end.
  • Oversee and direct a team of 5-8 professional and administrative Federal employees (GS-13/14), which includes assigning work, evaluating performance, hiring, and addressing training or developmental needs.
  • Allocate, manage, and account for organizational resources, including staff and funding, while establishing work plans, determining the use of contractors, and resolving budget shortages.
  • Align data analytics efforts with executives across BPA, other federal partners, and external workgroups to promote the adoption of modern data policies, practices, and technologies.
  • Provide technical direction and leadership on the maintenance of the enterprise analytic platform and oversee complex data science analyses using advanced methodologies (e.g., machine learning, NLP, regression, and data visualization) to automate processes and unlock data-driven insights.

Requirements
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Conditions of employment
In accordance with Executive Order 14170, applicants are encouraged to respond to four short, free-response, essay questions in the questionnaire. Answer to these questions is not scored or rated. Your answers will be reviewed by the hiring manager and agency leadership if you are referred for selection consideration.
When you apply you will be asked a series of questions to determine your eligibility for employment and your qualification for this position specifically. You must answer all of these questions completely and truthfully.
Key Requirements:
  • You must be a United States Citizen.
  • This employer participates in the e-Verify program.
  • Males must abide by Selective Service registration requirements.
  • You will be required to report in person to the official duty location.

Conditions of Employment:
  • Selectee will be required to complete the Office of Government Ethics Standard of Confidential Financial Disclosure Report (OFGE450e) within 30 days of employment and annually.
  • First time supervisors will be required to serve a 1 year probationary period.

Qualifications
BASIC REQUIREMENT:
A. Degree:
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
-OR -
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
SPECIALIZED EXPERIENCE REQUIREMENTS:
A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-13) in the Federal service.
Specialized experience for this position is defined as: 1) Experience managing an enterprise data science program, including establishing strategic plans, formulating data policies, allocating resources, and coordinating initiatives with external partners; 2) Experience advising executives on the governance and deployment of complex data science platforms and analytical infrastructure across the entire data life cycle; and 3) Experience directing highly complex data science and machine learning projects using predictive modeling, natural language processing, and advanced statistics to automate business processes.
"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration.
CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.
You must meet all qualifications and eligibility requirements by the closing date of this announcement.
Education
This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Education must be obtained from an accredited institution recognized by the U.S. Department of Education. See Department of Education Accreditation Search to verify school accreditation.
Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.
DO NOT email or mail in any of your application documents. Documents will not be accepted outside of the online application system.
Failure to provide copies of your college transcripts may result in a rating of "Ineligible".
Additional information
EEO Policy: USAJOBS Help Center | Equal employment opportunity policy
Reasonable Accommodation Policy: Employees or applicants may request Reasonable Accommodation (RA) for assistance, when applying or competing for a job or performing a job due to their medical condition or to exercise their religious beliefs. If you need reasonable accommodation in the application or selection process, please contact the Staffing Specialist listed on this vacancy announcement. USAJOBS Help Center | Reasonable accommodation policy
Reasonable Accommodation for USAHire: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended, that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a reasonable accommodation in your online application. Requests for Reasonable Accommodations for the USA Hire Competency Based Assessments and appropriate supporting documentation for Reasonable Accommodation must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for Reasonable Accommodations are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments, if you received the link after the close of the announcement. To determine if you need a Reasonable Accommodation, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments here.
Veterans Information: USAJOBS Help Center - Veterans
Veterans and persons with disabilities are encouraged to apply.
Telework: https://www.opm.gov/telework/
Selective Service Registration: http://www.sss.gov/ - Who must register: https://www.sss.gov/faq/#who-needs-to-register
Hiring incentives may be authorized for a highly qualified candidate based on budget availability and in accordance with federal regulations.
BPA strives to ensure a safe and positive work environment.
We also understand the importance of work/life balance and offer a variety of programs and policies designed to create more flexible, responsive work environments supportive of commitments to community, home and family members. BPA also supports employees' overall wellness through its Be Well program, which helps employees adopt healthier lifestyles and feel better about their work/life balance. The program supports five key areas of life: career, community, financial, physical and social.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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