ZipRecruiter

Log In

1

Google Cloud Machine Learning Engineer Jobs in Texas

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Dow

Machine Learning Engineer

Houston, TX · On-site

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... Cloud Computing: Designing and operating cloud-native architectures on Azure (e.g., Databricks ...

Dow

Machine Learning Engineer

Houston, TX · On-site

$120 - $160/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... Cloud Computing: Designing and operating cloud-native architectures on Azure (e.g., Databricks ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Drive performance optimization and scalability of ML systems across edge and cloud environments.

Dow Chemical

Machine Learning Engineer

Deer Park, TX · On-site

$130 - $190/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... Cloud Computing: Designing and operating cloud‑native architectures on Azure (e.g., Databricks ...

New

Dow Chemical

Machine Learning Engineer

Stafford, TX · On-site

$120 - $180/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... Cloud Computing: Designing and operating cloud‑native architectures on Azure (e.g., Databricks ...

New

Dow Chemical

Machine Learning Engineer

South Houston, TX · On-site

$120 - $190/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and ... Cloud Computing: Designing and operating cloud‑native architectures on Azure (e.g., Databricks ...

New

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Drive performance optimization and scalability of ML systems across edge and cloud environments.

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform. GCP Professional Machine Learning Engineer certification is ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... cloud platforms and scalable computing resources • Strong analytical, problem-solving, and ...

Raas Infotek LLC

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

... Machine Learning, Deep Learning, Generative AI, LLMs, and cloud platforms , with hands-on ... Develop and integrate AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI

next page

Showing results 1-20

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Texas

Google Cloud Machine Learning Engineer information

See Texas salary details

$21

$58

$81

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

As of Aug 10, 2026, the average hourly pay for google cloud machine learning engineer in Texas is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.73 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 Texas? The most popular types of Google Cloud Machine Learning Engineer jobs in Texas are:
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Texas? For Google Cloud Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in Texas look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Google Cloud Machine Learning Engineer jobs? Cities in Texas 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 Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,863 per year, or $58.6 per hour.

Machine Learning Engineer

Robotics Technologies LLC

Dallas, TX • On-site

$100 - $130/hr

Other

Posted 5 days ago

Job description

Experience and Responsibilities
  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).
  • Hands‑on experience in developing NLP and GenAI Models on Vertex AI
  • Proficiency in training, fine‑tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.
Required Qualifications
  • 5-7 years in software development (4+ in NLP/NLU for chat).
  • Good to have an understanding on other GCP services and cloud-native architectures
Preferred Qualifications
  • Master’s/PhD in Computer Science, AI/ML, or related field
  • Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer
  • Experience with GenAI frameworks (PaLM, Gemini)
  • Integration with CRM, knowledge bases, and live agent systems
Soft Skills
  • Excellent communication and collaboration.
  • Strong ownership and end‑to‑end project delivery.
  • Leadership in cross‑functional environments.

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

#J-18808-Ljbffr

Apply