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Part Time Full Stack Machine Learning Engineer Jobs in Minneapolis, MN

Remmele

CNC Programming Technician - Swiss

Big Lake, MN · On-site

$33 - $44/hr

Full understanding of G-code * Advocate and implement the highest quality standards and LEAN ... Maintain machining and secondary operational processes * All other duties as assigned Required ...

Remmele

CNC Programming Technician - Mill

Big Lake, MN · On-site

$33 - $44/hr

Full understanding of G-code * Advocate and implement the highest quality standards and LEAN ... Maintain machining and secondary operational processes * All other duties as assigned Required ...

Remmele

Senior Quoting Engineer

Big Lake, MN · On-site

$90K - $115K/yr

Strong understanding of machining and medical device manufacturing processes * Demonstrated ... Full-time and Part-time employees receive Paid Time Off (PTO) based on years of service, as well as ...

IQVIA

MedTech Field Service Engineer

Minneapolis, MN · On-site

$27 - $32/hr

Travel to customer sites to replace hydraulic assemblies on dialysis machines. * Complete required ... full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms ...

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All JobsFull Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer JobsPart Time Full Stack Machine Learning Engineer Jobs in Minneapolis, MN

Part Time Full Stack Machine Learning Engineer information

See Minneapolis, MN salary details

$46.4K

$140.7K

$198.8K

How much do part time full stack machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for part time full stack machine learning engineer in Minneapolis, MN is $140,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $164,900.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in Minneapolis, MN? For Part Time Full Stack Machine Learning Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Minneapolis, MN look for? The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Minneapolis, MN are:
Part Time Full Stack Machine Learning Engineer jobs near you
Infographic showing various Part Time Full Stack Machine Learning Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $140,673 per year, or $67.6 per hour.

Mechanical Engineering Tutor

Varsity Tutors

Minneapolis, MN • Remote

$18 - $40/hr

Part-time

Re-posted 8 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Mechanical Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems. Ability to explain free body diagrams, stress-strain relationships, Bernoulli equation, and heat conduction principles while preparing students for mechanical engineering coursework, the FE examination, and professional practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, stress analysis, and thermal system design. Guides students through solving static equilibrium problems, analyzing beam deflection, designing heat exchangers, computing fluid flow parameters, and selecting machine components. Emphasizes systematic engineering problem-solving approaches and connects mechanical engineering to automotive, aerospace, energy systems, and manufacturing applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with mechanical engineering curricula and common challenges such as three-dimensional equilibrium problems, Mohr circle analysis, and thermodynamic cycle analysis. Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced thermal-fluid systems and machine design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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