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Part Time Google Cloud Machine Learning Engineer Jobs

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Feature Engineering and Model Optimization * Experience with industry-standard frameworks such as ...

... Azure, Google Cloud). • Perform patch management, updates, and upgrades to systems and ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

AI/ML Engineer

Hampton, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... in public cloud environments * Experience with artificial intelligence and machine learning ... Experience with cloud platforms like AWS, Azure, or Google Cloud Platform * Experience integrating ...

Cloud Cybersecurity Engineer

Rome, NY · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Google Cloud * Ability to use cloud services or security applications to generate reports to ... Experience conducting penetration testing and working with Containers or Virtual Machines

Machine Learning Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Part Time Google Cloud Machine Learning Engineer information

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$23

$62

$87

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

As of Aug 18, 2026, the average hourly pay for part time google cloud machine learning engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What does a part time Google Cloud Machine Learning Engineer do?

A Part Time Google Cloud Machine Learning Engineer designs, develops, and deploys machine learning models using Google Cloud Platform services. They collaborate with teams to analyze data, build scalable solutions, and optimize machine learning workflows, all while working on a part-time schedule. Their responsibilities often include data preprocessing, model training, evaluation, and integrating models into production environments using Google Cloud tools like AI Platform, BigQuery, and Dataflow.

What are the key skills and qualifications needed to thrive as a part time Google Cloud Machine Learning Engineer?

To thrive as a Part Time Google Cloud Machine Learning Engineer, you need a solid background in machine learning, data analysis, Python programming, and a relevant degree in computer science or a related field. Experience with Google Cloud Platform (GCP) services like AI Platform, BigQuery, TensorFlow, and relevant certifications such as Google Professional Machine Learning Engineer are highly valuable. Strong problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for balancing technical demands with part-time flexibility. These skills are crucial to designing, deploying, and optimizing machine learning solutions efficiently on GCP while collaborating effectively in a part-time capacity.

How does working part time as a Google Cloud Machine Learning Engineer affect collaboration and project involvement?

Part-time Google Cloud Machine Learning Engineers typically work closely with cross-functional teams, such as data scientists, software developers, and cloud architects. While the part-time schedule offers flexibility, it may require proactive communication to stay aligned with ongoing projects and ensure smooth handoffs. Engineers in this role often contribute to specific phases of the machine learning pipeline, such as model deployment or optimization, and attend regular meetings to stay connected. Balancing part-time hours with project demands can be challenging, but clear expectations and strong team coordination help ensure meaningful contributions and professional growth.

What is the difference between Part Time Google Cloud Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Google Cloud Machine Learning EngineerPart Time Data Scientist
Required SkillsGoogle Cloud ML tools, Python, ML algorithmsData analysis, statistical skills, Python/R
CertificationsGoogle Cloud certifications preferredData science certifications beneficial
Work EnvironmentCloud platforms, remote or on-siteData analysis projects, remote or on-site
Industry UsageTech, AI, cloud servicesFinance, healthcare, marketing

While both roles involve data handling and programming, the Part Time Google Cloud Machine Learning Engineer focuses on deploying ML models on Google Cloud, whereas the Part Time Data Scientist emphasizes data analysis and insights across various industries.

More about Part Time Google Cloud Machine Learning Engineer jobs

What cities are hiring for Part Time Google Cloud Machine Learning Engineer jobs?

Cities with the most Part Time Google Cloud Machine Learning Engineer job openings:

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs?

The most popular types of Google Cloud Machine Learning Engineer jobs are:

Infographic showing various Part Time Google Cloud Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Artificial Intelligence and Machine Learning Adjunct Instructor

California Institute of Applied Technology

Florida, NM • Remote

Part-time

Re-posted yesterday


Job description

Job Title: Artificial Intelligence and Machine Learning Adjunct Instructor

Schedule - Class schedule works well even if you already have a daytime job.

Work from Home (WFH) - Remote work must be performed while residing in California, New Mexico, Florida or Massachusetts

CIAT Campus Locations: San Diego, CA and Albuquerque, NM

Reports to: Associate Dean - Cloud Administration Program

Status: Non-Exempt

Employment Type: Variable-Hour (Part-Time)


Are you passionate about positively changing the lives of others? California Institute of Applied Technology (CIAT) is growing and seeking educators and professionals with a passion for mentoring others. If this is you, please contact us! CIAT prepares students for professional success by offering practical training in today's most competitive technology fields to make sure students are job ready. With a large selection of courses, flexible schedules, and an online campus, we aim to empower the working student. We are laser-focused on student success, whether just starting out, making a career change, or transitioning into civilian life, CIAT prepares students for success!

Essential Duties and Responsibilities:

Teaching:
  • Available to teach synchronous online courses via Microsoft Teams
  • Plan and organize instruction in ways that maximize student learning and engagement
  • Modify, where appropriate, instructional methods and strategies to meet diverse student's needs
  • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format (Microsoft Teams)
  • Current certifications in subjects taught

Mastery of Subject Matter:

  • Demonstrate a thorough and accurate knowledge of their field or discipline
  • Connect their subject matter with related fields
  • Stay current in their subject matter through professional development, through involvement in professional organizations, and attending professional meetings, conferences, or workshops

Adhering to College Policies and Procedures:

  • Ensure Student Database is fully updated and accurate at all times regarding student grade record information
  • Maintain compliance with accreditation related to instructional and the quality of education, scheduled class hours requirements and CIAT policies and procedures
  • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc.
  • Adhere to the CIAT business casual attire. Please refer to the CIAT Employee Handbook for the complete policy. Clothing should be neat, clean, and without rips and holes. We can accommodate polo shirts
Requirements
  • Information Technology Instructors must provide official transcripts of bachelor's (or higher) degree and active/current certification on the subject being taught
  • General Education Instructors must provide official transcripts of bachelor's and master's (or higher) degrees that include at least 18 units on the subject being taught
  • At least three years' experience in the respective field OR two years of teaching experience
  • Advanced subject matter expertise preferred in the following areas: Python programming and data science libraries (NumPy, Pandas, Matplotlib, Scikit-learn), AI/ML fundamentals (supervised/unsupervised learning, NLP, and gen AI concepts), and familiar with Azure AI services and/or other cloud-based AI platforms (e.g. AWS, Google Cloud)
  • Synchronous online teaching experiece preferred
  • Effective presentation skills
  • High level of flexibility, creativity, and dependability
  • Good working knowledge of MS Office applications including Microsoft Teams Word, Excel, and PowerPoint as well as learning technologies such as Canvas
  • Work independently with minimal supervision
  • Ability to multitask
  • Problem solves rapidly and effectively, in a timely manner
  • Works with a sense of urgency, while engaging and listening to coworkers from other departments
  • Ability to work collaboratively with colleagues, academic departments, and administration to support student success, achieve institutional goals and contribute to a positive and inclusive culture
  • Commitment to fostering an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • Knowledge of current trends, best practices, and didactic approaches in higher education
  • Demonstrated ability to deliver engaging and effective lesson plans that meet the diverse needs of students
  • Strong communication skills, both verbal and written, with the ability to effectively convey information and interact with students, colleagues, and others
  • Compliance with all college policies, procedures, and regulations, including those related to academic integrity, student conduct, and instructional delivery
  • Adhere to CIAT's compliance requirements to ensure all Federal, State, accreditation, and institutional policies and procedures are being met
  • Follow communication guidelines to ensure high levels of customer satisfaction and professionalism
  • Must be able to embody CIAT's mission, vision, purpose and values

Position Type and Expected Hours of Work

This is a variable hour position. Days and hours of work are usually Monday through Friday, but weekend and evening hours are required. Live classes are scheduled twice a week (Monday and Tuesday) from 6:00pm-9:30pm (Pacific Time).


Supervisory Responsibility

This position has no supervisory responsibilities.


Values

Values such as integrity, excellence, customer service, teamwork and mutual respect are some of those that remain constant, regardless of changes in our company. When identifying company values, it is important that those values are being demonstrated in the course of business each day. Our values set expectations for how employees and managers interact with every person while representing the company.

  • We are passionate about education and student success
  • We value integrity and excellence in our employees and students
  • We treat ourselves and our students with dignity and respect
  • We believe in and encourage innovation at our school to better help our students succeed
  • We have a customer centric focus and we want people highly committed to achieving goals, where our success equals student's success
  • We are accountable for our actions and focus on improvements moving forward
  • We have a growth mindset with a sincere belief that every student can do better and achieve their goals
  • We expect every employee to be an example of conduct and professionalism, being a role model to students and colleagues
  • We commit to an inclusive and supportive learning environment that respects the diversity of students' backgrounds, experiences, and perspectives
  • We foster lifelong learning and professional development

Physical Demands

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions:

  • Essential functions of this role require sitting for extended periods of time
  • Ability to type, use a computer to search for information and input information while speaking on the phone is required
  • The employee will frequently be required to use the computer, mouse and telephone to conduct the regular tasks of this role
  • The employee will be required to compute simple to simple mathematical calculations as a normal part of this role

Work Environment

While performing the responsibilities of this remote position, the job holder will work in a home office environment. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of the job. This role routinely involves using standard office equipment such as computers, phones, and virtual communication tools. Employees are expected to ensure that their home office is a safe and ergonomic working environment.

Employees must maintain data security and confidentiality in accordance with company policies and use secure connections for all work-related activities. Expectations regarding work hours, availability, and time tracking will be clearly communicated and must be adhered to.

The company is not responsible for maintaining home office environments beyond the provision of reasonable accommodation and necessary work-related equipment. Workers' compensation and liability for injuries that occur in the home office will be covered as per company policy and applicable laws.

This remote work policy is designed to comply with all relevant local, state, and federal laws.


AAP/EEO Statement

California Institute of Applied Technology provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, California Institute of Applied Technology complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

California Institute of Applied Technology expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of California Institute of Applied Technology's employees to perform their job duties may result in discipline up to and including discharge.

California Institute of Applied Technology California Institute of Applied Technology California Institute of Applied Technology.


Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time, with or without notice.