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Google Cloud Machine Learning Engineer Jobs in Houston, TX

Accenture

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Soni Resources

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

... Google Cloud). * Hands-on experience with AI, machine learning, security analytics, or advanced ... Threat Detection & Detection Engineering * Security Data Lakes & Analytics * REST APIs & Platform ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable ...

MD Anderson

Senior Machine Learning Engineer - Agentic AI

Houston, TX · On-site

$99K - $137K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

As a Senior Machine Learning Engineer - Agentic AI within Data Impact & Governance, you will be at ... Experience deploying containerized AI platforms using Kubernetes in enterprise cloud environments ...

Huntington

Google Cloud Platform - Engineering Manager

Houston, TX · On-site +1

$53.25 - $71.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

The Cloud Engineering Manager partners closely with application teams, security, and enterprise ... Google Cloud Platform (GCP) as the primary cloud provider. * Terraform or OpenTofu as the standard ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Houston, TX

Google Cloud Machine Learning Engineer information

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

As of Aug 15, 2026, the average hourly pay for google cloud machine learning engineer in Houston, TX is $60.05, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $68.41 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 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 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 are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Houston, TX?

The most popular types of Google Cloud Machine Learning Engineer jobs in Houston, TX are:

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

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

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

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

What cities near Houston, TX are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Houston, TX 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 Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,913 per year, or $60.1 per hour.

Cloud Engineer(GCP) - Google Public Cloud Engineering

Sysco Corporation

Houston, TX • On-site

$51.50 - $69/hr

Full-time

Re-posted 26 days ago

Sysco rating

7.6

Company rating: 7.6 out of 10

Based on 321 frontline employees who took The Breakroom Quiz

121st of 362 rated logistics

Job description

Company:
US6469 Sysco Payroll, Division of Sysco Resources Services, LLC
Sales Territory:
None
Zip Code:
77077
Travel Percentage:
0
COMPENSATION INFORMATION:
The pay range provided is not indicative of Sysco's actual pay range but is merely algorithmic and provided for generalized comparison. Factors that may be used to determine rate of pay include specific skills, work location, work experience and other individualized factors
Job Summary:
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs.
As a Cloud Engineer, you will oversee the design, implementation, and management of our cloud infrastructure on the Google Cloud Platform. You will collaborate with cross-functional teams to assess requirements, develop cloud solutions, and ensure the security, scalability, and reliability of our cloud-based systems. The ideal candidate should have a strong background in GCP infrastructure architecture and a deep understanding of GCP Database solutions, Data architecture and data analytics solutions. You will participate in architecture reviews of GCP environments, bring engineering best practices, lead and implement changes, and inspire teams toward delivery excellence at Sysco.
Duties and Responsibilities:
    • Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams.

    • Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platform.

    • Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams.

    • Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans.

    • Ensure the security, availability, and performance of GCP resources through proper design and configuration.

    • Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management.

    • Define and enforce cloud governance policies, including resource tagging, access controls, and cost management.

    • Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance.

    • Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement.

    • Collaborate with cross-functional teams, including Data architects, developers, network administrators, security specialists, and cloud providers to ensure seamless integration of cloud solutions.

    • Work with DevOps and IaC tools such as GitHub, Jenkins, Docker and Terraform.

    • Ensure the security and compliance of all Sysco's infrastructure, data, applications, and configurations.

    • Design / Develop Scripts for Automation where appropriate.

Education Required:
  • Extensive knowledge of GCP infrastructure, services, and Database solutions, including GCP private/internal access technologies, Cloud Storage, GCP BigQuery, Cloud Spanner, Dataflow, Dataproc etc

  • Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures.

  • Bachelor's degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements.

Education Preferred:
  • Bachelor's degree in Computer Science

Experience Required:
  • 3 years of relevant experience in public cloud administration (Google Cloud Platform. )

Experience Preferred:
  • 5 years preferred

Licenses/Certifications Required:
  • Microsoft Certified: Azure Solutions Architect Expert
  • AWS Certified Solutions Architect - Professional

Licenses/Certifications Preferred:
  • GCP Certified Cloud Engineer
  • Microsoft Certified: Azure Administrator Associate
  • GCP Cloud Architect
  • VMware Certified Professional

Skills and Abilities:
Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell.
Physical Demands:
Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job.
Travel Requirements:
Travel is primarily limited to training and conferences.
Work Environment:
Agile teams working in a Scrum framework.
#LI-HR1
BENEFITS INFORMATION:
For information on Sysco's Benefits, please visit https://SyscoBenefits.com
OVERVIEW:
Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations.
We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We're looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service.
AFFIRMATIVE ACTION STATEMENT:
Applicants must be currently authorized to work in the United States.
We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.
This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.

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