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Google Cloud Machine Learning Engineer Jobs in Raleigh, NC

A.C. Coy

Google Cloud Architect (hybrid)

Raleigh, NC · On-site +1

$63.25 - $80.50/hr

... engineers and management. * Manage Vendors - Interface with vendors to ensure standard ... Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms ...

A.C. Coy

Google Cloud Architect (hybrid)

Raleigh, NC · On-site

$150 - $200/hr

... engineers and management. * Manage Vendors - Interface with vendors to ensure standard ... Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms ...

A.C. Coy

Google Cloud Architect (hybrid)

Raleigh, NC · On-site +1

$63.25 - $80.50/hr

... engineers and management. * Manage Vendors - Interface with vendors to ensure standard ... Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms ...

A.C. Coy

Google Cloud Architect (hybrid)

Raleigh, NC · Hybrid

$63.25 - $80.50/hr

... engineers and management. * Manage Vendors - Interface with vendors to ensure standard ... Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

RELX Group plc

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

LexisNexis

Machine Learning Engineer Lead

Raleigh, NC · On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

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Google Cloud Machine Learning Engineer information

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

As of Sep 7, 2026, the average hourly pay for google cloud machine learning engineer in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 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 are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Raleigh, NC?

The most popular types of Google Cloud Machine Learning Engineer jobs in Raleigh, NC are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Raleigh, NC?

For Google Cloud Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

What cities near Raleigh, NC are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Raleigh, NC with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,143 per year, or $61.1 per hour.

Google Cloud Architect (hybrid)

A.C. Coy

Raleigh, NC • On-site, Remote

$63.25 - $80.50/hr

Contractor

Re-posted 10 days ago

Job description

Overview
  • Tier One Technologies has an immediate need for a Google Cloud Architect for our US Government client.
  • This hybrid contract-to-hire position will be available to start in Raleigh, NC or Eagan, MN.
  • Must have an active GCP Certification.
  • Some occasional travel may be required to support program needs.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.
Responsibilities
  • Design & Architect - Build cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates.
  • Define Standards - Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions.
  • Lead Cloud Adoption - Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels.
  • Document Solutions - Prepare solution descriptions, technical approach, assumptions, risk assessments, and mitigation plans.
  • Govern Architecture - Ensure all solutions comply with enterprise technology standards, security requirements, and industry best practices.
  • Enable Teams - Identify skill gaps, develop training materials, and deliver technical guidance to engineers and management.
  • Manage Vendors - Interface with vendors to ensure standard architectures are followed across projects.
  • AI Integration - Leverage AI to accelerate on-prem-to-GCP migration and automate systems, applications, and workflows to improve efficiency and decision-making.
  • Automate & Integrate - Automate complex tasks and integrate cloud services with on-premise and third-party platforms.
  • Troubleshoot - Act as an IT SWAT team member for high-priority problem resolution across design, development, and operations.
  • Communicate - Translate complex technical concepts for both technical teams and executive leadership; produce briefings, technical documentation, and architecture diagrams.
Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then 4 additional years of related experience is required.
  • 13+ years of experience in Information Technology.
  • Deep understanding of systems development and architecture in cloud environments, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
  • Proven ability to integrate Google Cloud Platform (GCP) with SaaS and on-premises platforms, including Microsoft, IBM, Oracle, SAP, and Linux environments.
  • Active Google Cloud Platform (GCP) certification.
  • Hands-on experience designing, deploying, and scaling enterprise solutions on Google Cloud.
  • Current knowledge of artificial intelligence (AI) and industry trends, with experience applying modern technologies and practices to accelerate software delivery, including Agile, Test-Driven Development (TDD), and Continuous Integration/Continuous Delivery (CI/CD).
  • Strong understanding of enterprise infrastructure, including networking, compute, storage, virtualization, high availability, and monitoring.
  • Excellent oral and written communication skills, with the ability to develop and present management briefings, provide technical guidance, and prepare and present recommendations, reports, and other technical documentation.
  • Must be a US Citizen or Permanent US Resident (Green Card Holder).
  • Must be able to obtain Public Trust Clearance.
  • Be able to pass a drug screening, criminal history, and credit checks.
  • Must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
Employment Type: OTHER
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Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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