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Remote Machine Learning Engineer Jobs in Remote, OR

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Senior Data Scientist

OR ยท On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

AI Engineer

OR ยท On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

Temporary AI Engineer

OR ยท On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

AI EngineerTemporary Assignment (through 2/13/2027)Remote, USA; potential for minimal ad hoc ... Machine Learning * FastAPI * Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git

AI Engineer

OR ยท Remote

Machine Learning * FastAPI * Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git ... REST APIs * Vector Databases Clearance:S. Citizenship is requiredas is successfully passing a ...

Data Scientist

OR ยท On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

Data Scientist

OR ยท Remote

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

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Senior Software Engineer - (Remote)

OR ยท Remote

$50 - $100/hr

Senior Software Engineer Role Type: Contractor (~15 hrs a week) Location: Remote Rate: $50 - $100 ... As an expert you will be creating Reinforcement Learning Environments which test and AI model ...

Sales Engineer

OR ยท Remote

Remote / Work from Home (India) Employment Type: Full-Time Working Days: 5 Days a Week Working ... Structured Learning and Development Programs * Career Growth Opportunities * Collaborative and ...

Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ... Experience working with AI and machine learning platforms, including large language models and ...

Sr. Data Analytics Engineer

OR ยท Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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At least 10 separate conversations related to education, learning, academics, exam preparation ... Engineering * Literature * Journalism * Communications * Arts * Statistics * Education * Business

Strong understanding of T&I processes, machinery operation, and production technologies. * Problem ... Remote WHAT YOU'LL DELIVER * Faster quality claim resolution (85% within 30 days) * Min. 20 field ...

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Remote Machine Learning Engineer information

See Remote, OR salary details

$31.5K

$128.6K

$193.3K

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

As of Sep 9, 2026, the average yearly pay for remote machine learning engineer in Remote, OR is $128,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Remote, OR?

The most popular types of Machine Learning Engineer jobs in Remote, OR are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Remote, OR?

For Remote Machine Learning Engineer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Remote, OR look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Remote, OR are:

What cities near Remote, OR are hiring for Remote Machine Learning Engineer jobs?

Cities near Remote, OR with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,642 per year, or $61.8 per hour.

Senior Data Scientist

OR โ€ข Remote

Full-time

Re-posted 25 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Senior Data Scientistย to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Active TS/SCIย Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.ย 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.