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Google Certified Machine Learning Engineer Jobs

3B Staffing LLC

Machine Learning Engineer

Boston, MA · Remote

Machine Learning Engineer REMOTE GC and USC The ideal candidate has hands-on experience with Large ... Relevant certifications (e.g., Google Professional Data Engineer, Google Cloud ML Engineer, AWS ...

3B Staffing LLC

Machine Learning Engineer

Boston, MA · Remote

Machine Learning Engineer REMOTE GC and USC The ideal candidate has hands-on experience with Large ... Relevant certifications (e.g., Google Professional Data Engineer, Google Cloud ML Engineer, AWS ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty * Experience with ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$125 - $150/hr

Security+ Certification Clearance: Applicants selected will be subject to a security investigation ... Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

Flexjet LLC

Machine Learning Engineer

Cleveland, OH · On-site

$60 - $80/hr

Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role ... Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic understanding of APIs or web ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our ... Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic understanding of APIs or web ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our ... Exposure to cloud platforms (AWS, Azure, or Google Cloud) * Basic understanding of APIs or web ...

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Google Certified Machine Learning Engineer information

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

As of Sep 8, 2026, the average hourly pay for google certified machine learning engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a Google Certified Machine Learning Engineer?

Google Certified Machine Learning Engineers are professionals who have demonstrated proficiency in designing, building, and deploying machine learning models using Google Cloud technologies. They are certified through Google’s rigorous exam, which assesses skills in data preparation, model development, productionalization, and responsible AI practices. These engineers are equipped to solve real-world business problems using advanced machine learning techniques and Google Cloud tools. Earning this certification validates expertise and can enhance career opportunities in the rapidly growing field of machine learning.

What types of projects does a Google Certified Machine Learning Engineer typically work on within a team setting?

Google Certified Machine Learning Engineers often collaborate with data scientists, software engineers, and product managers to design, implement, and deploy machine learning models. Their projects can include developing recommendation systems, automating data analysis, or improving business processes through predictive analytics. They are usually responsible for ensuring model accuracy, scalability, and integration into existing systems, while also participating in code reviews and knowledge sharing sessions. This collaborative environment fosters both technical growth and cross-functional learning.

What are the key skills and qualifications needed to thrive as a Google Certified Machine Learning Engineer, and why are they important?

To thrive as a Google Certified Machine Learning Engineer, you need a solid background in computer science, statistics, and applied mathematics, typically supported by experience in designing and deploying machine learning models. Mastery of tools such as TensorFlow, Python, Google Cloud Platform (GCP), and the relevant Google ML Engineer certification is usually required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you translate complex models into actionable business solutions and work effectively with stakeholders. These competencies are critical for building scalable, impactful machine learning systems that drive innovation and deliver value in real-world applications.

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

AspectGoogle Certified Machine Learning EngineerData Scientist
CertificationsGoogle Cloud Certified Professional Machine Learning EngineerOften no specific certification required, but certifications like Google Data Analytics or Python are common
Work EnvironmentFocus on deploying ML models on Google Cloud, working with cloud toolsData analysis, statistical modeling, and visualization, often in various environments
Industry UsagePrimarily in tech, cloud services, AI developmentBroadly across finance, healthcare, marketing, and tech

The Google Certified Machine Learning Engineer specializes in deploying and managing ML models on Google Cloud, often requiring specific cloud certifications. Data Scientists focus on analyzing data, building models, and deriving insights across various industries, with less emphasis on cloud deployment. Both roles overlap in data handling and modeling but differ in their primary focus and required credentials.

What are popular job titles related to Google Certified Machine Learning Engineer jobs?

For Google Certified Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Google Certified Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Machine Learning Engineer

3B Staffing LLC

Boston, MA • Remote

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Machine Learning Engineer

REMOTE

GC and USC

The ideal candidate has hands-on experience with Large Language Models (LLMs) and is highly skilled in Google Cloud Platform (GCP), specifically Vertex AI. This is not a generic ML engineering role-it requires deep expertise in designing, deploying, and managing LLM-powered applications in production environments.

REQUIRED

  • 3+ years of experience as a Machine Learning Engineer.
  • Proficiency in Python for ML development.
  • Hands-on experience with RDBMS and NoSQL databases (e.g., MongoDB, BigQuery, PostgreSQL).
  • Strong experience with GCP, including Vertex AI for MLOps (training, deployment, monitoring).
  • Extensive experience with LLMs, including deep understanding of architectures, capabilities, and limitations.
  • Proven track record of deploying and managing LLM-based solutions in production using Vertex AI.
  • Experience leveraging Vertex AI Model Garden for model discovery and management.
  • Ability to develop advanced LLM-powered applications using agentic frameworks such as LangChain or LangGraph.
  • Understanding of core ML concepts and workflows.
  • Familiarity with version control systems (e.g., Git).

Nice to Haves:

  • Familiarity with Azure OpenAI Services and other cloud-based LLM offerings.
  • Experience with Retrieval-Augmented Generation (RAG) architectures.
  • Knowledge of NLP beyond LLMs.
  • Familiarity with big data technologies (Apache Spark, Ray, Dask).
  • Experience with streaming data platforms (e.g., Apache Kafka, Google Pub/Sub).
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in a team environment.

Education & Certifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • Relevant certifications (e.g., Google Professional Data Engineer, Google Cloud ML Engineer, AWS Certified Data Analytics) are a plus.

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