ZipRecruiter

Log In

1

Ml Engineer Jobs in Remote, OR (NOW HIRING)

EM Key Solutions Inc

AI Engineer

OR · On-site +1

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations. The successful candidate will collaborate with cross-functional teams ...

EM Key Solutions Inc

AI Engineer

OR · Remote

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations.The successful candidate will collaborate with cross-functional teams ...

SOSi

Senior Data Scientist

OR · Remote

... 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 ...

SOSi

Senior Data Scientist

OR · On-site

... 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 ...

SOSi

Senior Data Scientist

OR · On-site +1

... 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 ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations. The successful candidate will collaborate with cross-functional teams ...

EM Key Solutions Inc

Temporary AI Engineer

OR · Remote

... ML), and intelligent automation solutions that enhance enterprise software engineering, testing ... DevSecOps, and IT operations.The successful candidate will collaborate with cross-functional teams ...

Sapiens

Value Engineer - Applied AI

OR · On-site +1

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... Demonstrated experience deploying or implementing AI/ML solutions in enterprise environments - not ...

Project Sapiens

Value Engineer - Applied AI

OR · Remote

Value Engineer - Applied AI Location: Remote The Value Engineer - Applied AI sits at the ... Demonstrated experience deploying or implementing AI/ML solutions in enterprise environments - not ...

Atos

Head of AI

OR · On-site +1

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Atos

Head of AI

OR · Remote

Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance. * Identify strategic bets (industries, partnerships, platforms) and ...

Lumen Technologies

Principal Architect

OR · Remote

FinOps Leadership Integrate cost optimization into architecture and engineering practices. Establish cost-aware patterns for compute, storage, networking, AI/ML, Kubernetes, databases, and SaaS ...

Lumen Technologies

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

... engineering experience, including 5+ years designing and deploying AI/ML solutions and 3+ years in systems, solution, or enterprise architecture roles. * Proven success architecting and delivering ...

SOSi

Data Scientist

OR · On-site +1

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

SOSi

Data Scientist

OR · Remote

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

SOSi

Data Scientist

OR

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

next page

Showing results 1-20

All JobsMl Engineer JobsMl Engineer Jobs in Remote, OR

Ml Engineer information

See Remote, OR salary details

$33K

$89.1K

$141.9K

How much do ml engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ml engineer in Remote, OR is $89,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $108,900.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

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

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

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

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

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

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

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Remote, OR as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,095 per year, or $42.8 per hour.

AI Engineer

EM Key Solutions Inc

OR • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

AI Engineer
Remote, USA; potential for minimal ad hoc travel
EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.
The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.
Duties/Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:
  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:
  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • 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 thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:
Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.
If you are curious to learn more about EM Key Solutions, please visit our website at
EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
Reasonable Accommodation Requests
EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.
E-Verify
As a Federal Contractor, we are required to use to validate employees' ability to work legally in the United States.
EEO is the Law
The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.
Pay Transparency Non-Discrimination
EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
For information regarding your legal rights and protections, please click on the following link:

Apply