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Google Cloud Machine Learning Engineer Jobs in Remote, OR

SOSi

Senior Data Scientist

OR · Remote

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

SOSi

Senior Data Scientist

OR · On-site +1

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

SOSi

Senior Data Scientist

OR

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

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

EM Key Solutions Inc

AI Engineer

OR · Remote

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Machine Learning * FastAPI * Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.

EM Key Solutions Inc

Temporary AI Engineer

OR · Remote

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Machine Learning * FastAPI * Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git

Lumen Technologies

Lead IT Systems Engineer - PUB SEC

OR · Remote

$103K - $138K/yr

... and engineering disciplines. Specific technical knowledge of enterprise level networking and ... Deploy, configure, and administer systems in Google Cloud and Amazon Web Services. Support and ...

Lumen Technologies

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

... across engineering, product, and business teams to deliver innovative solutions that help our ... Lead technical strategy and platform decisions across Google Cloud AI services and emerging AI ...

Atos

NETWORK ENGINEER

OR · Remote

Senior Network Engineer for Atos Public Safety's Next-Generation 9-1-1 solution (NG9-1-1). Atos ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Atos

NETWORK ENGINEER

OR · On-site +1

Senior Network Engineer for Atos Public Safety's Next-Generation 9-1-1 solution (NG9-1-1). Atos ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Lumen Technologies

Principal Architect

OR · Remote

Google Professional Cloud Architect Preferred Certifications * TOGAF 9/10, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS DevOps Engineer ...

SOSi

Data Scientist

OR · Remote

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

SOSi

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

Prointegrate LLC

Be Seen First

Azure Platform/Data Engineer (100 USD per hour) remote No C2C

OR · On-site

$100/hr

... traces across developer machines, scrubs sensitive content centrally in Azure, and serves a ... Data-pipeline and cloud-security fundamentals (RBAC, private networking, audit). Nice to Have

New

Lumen Technologies

Senior Lead Data Scientist

OR · Remote

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Experience working with AI and machine learning platforms, including large language models and ...

Oxford Global Resources

AI Architect

OR · Remote

... and machine learning. You will architect sophisticated large language models (LLMs) with the ... Experience in designing & deploying AI / ML solutions using various cloud vendors. * Experience in ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Remote, OR

Google Cloud Machine Learning Engineer information

See Remote, OR salary details

$23

$62

$87

How much do google cloud machine learning engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for google cloud machine learning engineer in Remote, OR is $62.82, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $71.59 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

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

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

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

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

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,673 per year, or $62.8 per hour.

Senior Data Scientist

SOSi

OR • Remote

Full-time

Re-posted 22 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 Scientist 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/SCI 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. 
  • 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.

Apply