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Contract Google Machine Learning Engineer Jobs (NOW HIRING)

ManTech International

Machine Learning Engineer

$128K - $214K/yr

... Google Cloud Platform (GCP). * Follow Agile methodologies to deliver production-ready, highly ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Machine Learning EngineerJob Summary We are looking for a talented Machine Learning Engineer to ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Understanding of CI ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

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

As of Jul 24, 2026, the average hourly pay for contract google machine learning engineer in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.
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What cities are hiring for Contract Google Machine Learning Engineer jobs? Cities with the most Contract Google Machine Learning Engineer job openings:
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Contract Google Machine Learning Engineer jobs near you
Infographic showing various Contract Google Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 57% Full Time, 22% Part Time, 1% Temporary, and 20% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apex Informatics

Cincinnati, OH • On-site

Full-time

Posted 12 days ago

Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.

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