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Weekend No Experience Machine Learning Jobs in Memphis, TN

Machine Operator

Hernando, MS · On-site

$16 - $19/hr

Relevant experience operating or setting up machinery is a plus but not required. * Must demonstrate a strong work ethic, reliability, and a positive attitude towards teamwork and learning. Physical ...

... No Description & Requirements Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice ... Required to work daily and/or weekend overtime during peak seasons Requirements: High school ...

... No Description & Requirements Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice ... Required to work daily and/or weekend overtime during peak seasons Requirements: High school ...

Machine Operators

Olive Branch, MS · On-site

$20 - $24/hr

Experience operating corrugated converting machinery and related equipment Benefits & Compensation ... Opportunities for overtime and weekends * Clean, safety-focused facility with modern equipment Why ...

... no safety violations/incidents within the previous 12 months) • Completion of required mill ... Experience & Skill: • Minimum of 2 years manufacturing experience • Journey man status ...

Machine Operator

Olive Branch, MS · On-site

$15.25 - $18.25/hr

Work overtime and weekends as required * Interpret documents such as safety rules, operating and ... Corrugated Converting Experience- preferably Rotary Die Cut and/or Folder Gluer experience ...

Experience operating corrugated converting machinery and related equipment Benefits & Compensation ... Opportunities for overtime and weekends * Clean, safety-focused facility with modern equipment Why ...

Data Science Tutor

Memphis, TN · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Showing results 21-40

Weekend No Experience Machine Learning information

See Memphis, TN salary details

$11

$17

$28

How much do weekend no experience machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for weekend no experience machine learning in Memphis, TN is $17.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $17.74 per hour, depending on experience, location, and employer.

What is a weekend no experience machine learning job?

A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.

What are the key skills and qualifications needed to thrive as a weekend no experience machine learning professional?

To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.

What kind of support and training can I expect starting a weekend no experience machine learning role?

In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.

What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?

AspectWeekend No Experience Machine LearningWeekend Data Analyst
Required CredentialsBasic understanding of programming, no formal certification neededBasic knowledge of data analysis tools, possibly some certifications
Work EnvironmentProject-based, flexible hours, often remotePart-time, flexible hours, often remote or on-site
Industry UsageTech, finance, healthcare, startupsBusiness, marketing, finance, consulting

Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.

What are popular job titles related to Weekend No Experience Machine Learning jobs in Memphis, TN?

For Weekend No Experience Machine Learning jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Weekend No Experience Machine Learning jobs in Memphis, TN look for?

The top searched job categories for Weekend No Experience Machine Learning jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Weekend No Experience Machine Learning jobs?

Cities near Memphis, TN with the most Weekend No Experience Machine Learning job openings:

Infographic showing various Weekend No Experience Machine Learning job openings in Memphis, TN as of June 2026, with employment types broken down into 72% Full Time, and 28% Nights. Highlights an 100% In-person job distribution, with an average salary of $36,336 per year, or $17.5 per hour.

Postdoctoral Scholar in Health AI-Pediatrics CBMI

The University of Tennessee

Memphis, TN • On-site

Full-time

Re-posted 8 days ago


Job description

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.

The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.

Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.) 

Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.

WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel. 

  1. Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.

  2. Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.

  3. Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.

  4. Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.

  5. Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.

  6. Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation

  7. Mentors graduate students and junior researchers throughout the project lifecycle.

  8. Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.

  9. Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.

  10. Performs other duties as assigned.