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Google Cloud Machine Learning Engineer Jobs in Houston, TX

... machine learning security, container security, data protection, monitoring, and secure delivery ... Serving as the primary day-to-day client contact, driving outcomes across engineering, security ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$116K - $154K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine ... ARIMA, cointegration, regime-switching models) โ€ข Data orchestrators (Airflow, Dagster) and cloud ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Cloud (AWS) and containerization (Docker) experience. Nice-to-Have (Preferred Experience)

Senior Security Engineer

Houston, TX ยท 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 ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

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 ...

Lead Machine Learning Engineer

Houston, TX ยท Remote

$104K - $138K/yr

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 ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

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 ...

Machine Learning Engineer

The Woodlands, TX ยท On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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Google Cloud Machine Learning Engineer information

See Houston, TX salary details

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

As of Aug 23, 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 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 Houston, TX?

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

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, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $124,913 per year, or $60.1 per hour.

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Kanak Elite Services Inc

Houston, TX โ€ข On-site

$99K - $137K/yr

Contractor

Re-posted 7 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Senior Machine Learning Engineer – Deep & Reinforcement Learning

Location          : Houston, TX Onsite

Duration         : Long term contract

Required skills:
- Degree in STEM field, Ph.D preferred.
- Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
- Strong Pytorch or TensorFlow programming
- Machine Learning and Statistical Modelling - Mastery
- Exploratory Analysis
- Core Programming Skills & Languages
- AI Engineering Essentials
- DevOps and Agile
- Cloud deployment frameworks, infrastructure, and tooling