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Remote Machine Learning Jobs in Remote, OR (NOW HIRING)

This role is remote and requires an active Secret clearance. Maximus TCS (Technology and Consulting ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires an active Secret clearance. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

This position is remote and requires a Secret clearance or higher. Active TS/SCI highly preferred ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to ... Bonus Structure #LI-Remote #LI-VK1 Requisition #: 341609 Background Screening If you are selected ...

... for modern AI, machine learning, and data-intensive applications. By combining open source ... Communicate urgently, clearly, and in detail with customers during incidents via email and remote ...

Be Seen First

Continuous learning through real-time projects and guided tasks What We Offer * 100% Remote work (USA) * STEM OPT-compliant employment and training plan * Hands-on experience with real client ...

Be Seen First

Continuous learning through real-time projects and guided tasks What We Offer * 100% Remote work (USA) * STEM OPT-compliant employment and training plan * Hands-on experience with real client ...

This role is remote-based in the Boise, Idaho metropolitan area, with frequent, hands-on engagement ... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ...

North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory ... Learning & Development, and Marketing teams. Key Responsibilities Technical Expertise ...

North America (Remote) Role Type: Full-Time Reports To: Head of Data and AI Technical Advisory ... Learning & Development, and Marketing teams. Key Responsibilities Technical Expertise ...

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107.40K - $128.90K/yr

Location This is a remote position that may require some travel. #LI Responsibilities Power BI Development * Develop interactive dashboards for project and field use * Implement row-level security ...

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Showing results 1-20

Remote Machine Learning information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do remote machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning in Remote, OR is $42,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Remote, OR? The most popular types of Machine Learning jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Machine Learning jobs? Cities near Remote, OR with the most Remote Machine Learning job openings:
Back End Developer - Mid-level

Back End Developer - Mid-level

Maximus

Remote

Full-time

Posted 10 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

General information
Job Posting Title
Back End Developer – Mid-level
Date
Thursday, April 23, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.
 
This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.
 

This role is remote and requires an active Secret clearance. 
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS196, T4, Band 7
Job-Specific Essential Duties and Responsibilities:
  • Provides subject matter proficiency supporting back-end software development activities.
  • Applies analytical skills supporting process improvement, specialized studies, and requirements definition.
  • Performs analysis, planning, and development of requirements documents and functional models.
  • Designs and develops back-end architectures supporting system capabilities and integrations.
  • Develops and modifies RESTful APIs supporting application functionality.
  • Performs database management, data modeling, and optimization.
  • Supports testing and validation to verify system operability and compliance.
  • Participates in Agile program increment (PI) planning and activities requiring periodic travels.
Job-Specific Minimum Requirements:
  • Active Secret clearance or above required. Active TS/SCI highly preferred. 
  • Bachelor’s degree in related field required.
  • A Master’s degree may substitute for 2 years of experience.
  • 7 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
  • 3 years of experience with bug tracking software (Jira).
  • 3 years of experience testing web-based applications.
  • 3 years of experience participating in software development programs or projects.
  • 3 years of experience performing back-end web design and development.
  • 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
  • 5 years of experience with Jenkins and GitLab.
  • 5 years of experience with at least five (5) of the following:
    • Postgres
    • RDS
    • Exodus
    • Python
    • Luna
    • Java
    • Docker
    • OpenJDK
    • Ansible
    • Packer
    • Maven
    • Kubernetes
    • Red Hat
  • Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
  • Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
  • Practical experience developing in a cloud environment.
  • Experience with integrating data from unclassified to classified application deployments.
Preferred Skills and Qualifications:
  • Experience using Agile Test-Driven development.
  • Experience integrating into DoW DevSecOps environments.
  • 5 years of experience with CI/CD software development.
  • Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
  • Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

#techjobs #clearance #veteransPage #USCYBERCOM
Minimum Requirements
TCS196, T4, Band 7
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maxi...

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