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Part Time Machine Learning Consultant Jobs (NOW HIRING)

Senior Lead AI Solutions Consultant

Chicago, IL ยท On-site

$124K - $186K/yr

An expert in machine learning: You have a solid grasp of machine learning, including a familiarity ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

An expert in machine learning: You have a solid grasp of machine learning, including a familiarity ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

An expert in machine learning: You have a solid grasp of machine learning, including a familiarity ... In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total ...

AI Engineer

Springfield, VA ยท On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Consulting experience supporting government clients Why This Role * Flexible part-time commitment

New

AI Engineer

Springfield, VA ยท On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Consulting experience supporting government clients Why This Role * Flexible part-time commitment

New

AI Engineer

Springfield, VA ยท On-site

$100/hr

Design, develop, and deploy machine learning models and AI-powered applications * Collaborate with ... Consulting experience supporting government clients Why This Role * Flexible part-time commitment

New

Terracon is a 100 percent employee-owned multidiscipline consulting firm comprised of more than 8 ... Terracon's internship program gives students the opportunity to turn classroom learning into ...

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Part Time Machine Learning Consultant information

What is the difference between Part Time Machine Learning Consultant vs Data Scientist?

AspectPart Time Machine Learning ConsultantData Scientist
CredentialsRelevant certifications, such as Coursera or edX machine learning coursesDegree in Data Science, Computer Science, or related fields
Work EnvironmentFreelance or contract basis, often remote or client sitesFull-time in organizations, research labs, or startups
Industry UsageConsulting firms, tech companies, startupsTech companies, finance, healthcare, research institutions
Search & Comparison IntentPart Time Machine Learning Consultant vs Data Scientist

While both roles involve machine learning skills, a Part Time Machine Learning Consultant typically works on specific projects for clients on a flexible schedule, often remotely. In contrast, a Data Scientist usually holds a full-time position within an organization, focusing on ongoing data analysis and model development. The choice depends on your career goals and preferred work environment.

More about Part Time Machine Learning Consultant jobs
What cities are hiring for Part Time Machine Learning Consultant jobs? Cities with the most Part Time Machine Learning Consultant job openings:
What are the most commonly searched types of Machine Learning Consultant jobs? The most popular types of Machine Learning Consultant jobs are:
What states have the most Part Time Machine Learning Consultant jobs? States with the most job openings for Part Time Machine Learning Consultant jobs include:
What job categories do people searching Part Time Machine Learning Consultant jobs look for? The top searched job categories for Part Time Machine Learning Consultant jobs are:
Infographic showing various Part Time Machine Learning Consultant job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Adjunct Faculty: How to "Be Creative" in Partnership with Computation & Machine Learning

Adjunct Faculty: How to "Be Creative" in Partnership with Computation & Machine Learning

San Francisco Bay University

Fremont, CA โ€ข On-site

$148.51/hr

Part-time

Re-posted 15 days ago


Job description

About San Francisco Bay University:
San Francisco Bay University (SFBU), a nonprofit, WASC-accredited university situated in the heart of Silicon Valley in Fremont, California, seeks an innovative and experienced Adjunct Faculty. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers and our vision is to set the standard as a national model of higher education in service of the common good.
At SFBU, students come first. We prioritize students' needs by fostering personal engagement among students, faculty, and staff. We are committed to providing affordable quality education with a deep commitment to diversity, equity, inclusion, and social justice.
We encourage you to learn more about SFBU by reviewing our strategic plan at https://www.sfbu.edu/strategic-plan.
Position Overview: San Francisco Bay University is seeking dynamic and dedicated adjunct faculty in computational creativity and innovation to design (remote) and/or deliver (remote or face-to-face) an innovative new course in our General Education curriculum. The course is titled How to "Be Creative" in Partnership with Computation & Machine Learning. The course explores the intersection of computer science, math, art, and design, examining how computational tools transform creativity while engaging with the ethical and philosophical questions they raise. Students will develop tactical computational skills, explore generative art, machine learning, and algorithmic design, and analyze how creativity intertwines with imagination, emotions, and innovation. Through hands-on projects, they will reveal connections between artistic expression, mathematical principles, and scientific phenomena. The course culminates in a final project where students synthesize their learning to harness computation as a creative tool.
This position does not offer visa sponsorship. You must be authorized to work in the US.
Teaching Excellence: Possess deep subject knowledge, pedagogical expertise, and the ability to engage students actively while adapting to their diverse needs. As we transition away from traditional lecture-based instruction, we seek faculty who understand and appreciate student-centered design and can adopt pedagogical practices stemming from this approach. These practices include active learning strategies, collaborative projects, problem-based learning, inquiry-based learning, flipped classroom models, and the use of formative assessments to inform and adjust teaching. We are looking for faculty with the skills and motivation to create a supportive and dynamic learning environment that emphasizes clear communication, collaboration, inclusivity, and continuous improvement. Faculty should be proficient in facilitating interactive discussions, promoting critical thinking, and guiding students to apply concepts to real-world scenarios. This approach aims to foster deeper understanding, engagement, and long-term retention of material among students.
Curriculum Development: Collaborate with colleagues and consultants on the development and refinement of the general education curriculum, incorporating the latest advancements in technology, ensuring alignment with disciplinary and community/industry needs and emerging trends, and leveraging best practices to position SFBU students for success throughout their academic and professional careers.
Inclusive Education: Implement innovative and inclusive teaching best practices that reflect our core value of providing access and inclusion to a diverse student body.
Quality Improvement: Active engagement in course and program-level assessment design, data collection, review, and reporting.
Professional Learning: Attend teacher training and professional learning activities offered by SFBU's Center for Empowerment & Pedagogical Innovation (CEPI). Participate in student-centered formative and summative assessments of teaching performance. Remain current with emerging developments in general education, pedagogy, and related fields.
Required Qualifications:
โ€ข Masters Degree required; Doctorate Preferred in computer science, data science, and machine learning, or closely related field.
โ€ข Demonstrated teaching experience in general education and a commitment to excellence in pedagogy.
โ€ข A passion for mentoring and guiding students in their academic and professional growth.
โ€ข Strong communication skills and the ability to collaborate effectively with colleagues, students, and community partners.
โ€ข Commitment to diversity, equity, and inclusion in education and practice.
Preferred Qualifications:
โ€ข Experience in general education curriculum development.
Salary: SFBU compensation for 3-credit course delivery in general education is $11,880.80 ($148.51 per hour). Additional compensation non-instructional training(s).
Application Materials:
Interested candidates must submit the following application materials:
โ€ข A cover letter detailing candidate qualifications to teach How to "Be Creative" in Partnership with Computation & Machine Learning. The letter should also briefly discuss the candidate's teaching philosophy and show alignment with our mission and core values (https://www.sfbu.edu/strategic-plan).
โ€ข Curriculum vitae.
โ€ข Contact information for three professional references.
โ€ข Applications will be reviewed beginning immediately and continue until the position is filled.
San Francisco Bay University is committed to diversity, equity, and inclusion, and we welcome applications from individuals of all backgrounds. We encourage candidates who will contribute to our mission of fostering a diverse and inclusive educational environment to apply.
Join us in our mission to provide innovative, inclusive, and transformative education and help us shape the future of higher education in the heart of Silicon Valley. We look forward to welcoming a passionate Professor of Practice to our academic community.
This position description is not intended to cover or contain a comprehensive list of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time, with or without notice.
SFBU is an Equal Opportunity / Affirmative Action Employer: SFBU is committed to providing equal employment opportunities for all employees and applicants for employment. SFBU does not discriminate in employment opportunities or practices based on race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, or any other characteristic protected by law.
In accordance with federal and state disability laws, San Francisco Bay University provides reasonable accommodations to applicants with disabilities. If you require assistance during the application or interview process, please contact SFBU Human Resources at hrmgr@sfbu.edu.