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Weekend No Experience Machine Learning Jobs (NOW HIRING)

Experience: 1-3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing SKILLS / COMPETENCIES Required: * Solid Python skills with hands ...

Required : • Several years of experience with Python and machine learning frameworks • Expertise in PyTorch for building and training neural networks • Experience training and serving models in ...

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...

Experience with sequential modeling and time series forecasting using deep learning * Experience ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

Machine Learning Engineer

San Francisco, CA · On-site

$151.30 - $178/hr

New Grad to 1 year of experience. * You must be work-authorized in the United States without the ... No relocation candidates at this time. * Fluency in Python, Java or similar programming languages.

Required : • Several years of experience with Python and machine learning frameworks • Expertise in PyTorch for building and training neural networks • Experience training and serving models in ...

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building ...

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Weekend No Experience Machine Learning information

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

As of Aug 22, 2026, the average hourly pay for weekend no experience machine learning in the United States is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $18.27 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.

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What cities are hiring for Weekend No Experience Machine Learning jobs?

Cities with the most Weekend No Experience Machine Learning job openings:

What states have the most Weekend No Experience Machine Learning jobs?

States with the most job openings for Weekend No Experience Machine Learning jobs include:

Infographic showing various Weekend No Experience Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $37,403 per year, or $18 per hour.

Machine Learning Engineer

Apex Systems

Pleasanton, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job#: 3043683
Job Description:
Hey,
Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ML Engineer that has made and deployed models into an Azure ecosystem. Position is remote and pays anywhere from 40-55/hr. As always from ai assistant Riley will give you a call, but if you think this is the perfect spot for you please drop your resume to for a direct line to me. Position starts off as a 6 month contract
Machine Learning Engineer
Location: Pleasanton, California (Remote)
Role Overview
This role is focused on developing, deploying, and optimizing machine learning models for enterprise applications. The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices. This is not a data science research role; the candidate must be able to build models and support deployment and management in a production environment.
Key Responsibilities
  • Develop, deploy, and optimize machine learning models for various applications.
  • Build and deploy machine learning models from end to end, including selecting algorithms, preparing data, training models, and evaluating performance.
  • Manage the full lifecycle of machine learning models in a production setting.
  • Leverage MLOps concepts such as CI/CD for ML models, version control, monitoring, automation, and model retraining.
  • Utilize cloud platforms and technologies, specifically Microsoft Azure, for model deployment and management.
Required Qualifications
Candidates must have hands-on experience with the following:
  • Supervised and/or unsupervised machine learning algorithms
  • Neural networks and Natural Language Processing (NLP)
  • Programming languages: Python, R, and SQL
  • Machine learning frameworks such as TensorFlow, Keras, and/or PyTorch
  • Cloud platforms, specifically Microsoft Azure
  • DevOps and/or MLOps practices for model lifecycle management
Preferred Qualifications
  • Experience with Azure Machine Learning, Azure DevOps, Azure Databricks, or Azure Functions.
  • Proven experience building and supporting CI/CD pipelines for machine learning models.
  • Familiarity with containerization tools like Docker or Kubernetes.
  • Background in end-to-end model deployment in production environments.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.