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No Experience Machine Learning Jobs in Draper, UT

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Experience applying AI or machine learning to practical business, product, or customer use cases * Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

Due to this growth, our InteriorWorx Countertops division is looking for a Granite Shop Machine ... No experience necessary * Forklift experience is a plus, but will train Benefits: * Medical, Dental ...

They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

Complete familiarity with various statistical and machine learning techniquesincluding ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

Complete familiarity with various statistical and machine learning techniquesincluding ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

What You'll Do We are looking for an experienced Data Scientist who has previously supported Health ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... experience, Waystar helps providers simplify healthcare payments and yield powerful results ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ...

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

About This Position We are looking for an experienced Data Scientist who has previously supported ... The focus is on extending machine learning, predictive modeling, and analytic components to provide ...

Showing results 21-40

No Experience Machine Learning information

See Draper, UT salary details

$13

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$28

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

As of Aug 23, 2026, the average hourly pay for no experience machine learning in Draper, UT is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $23.80 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What job categories do people searching No Experience Machine Learning jobs in Draper, UT look for?

The top searched job categories for No Experience Machine Learning jobs in Draper, UT are:

What cities near Draper, UT are hiring for No Experience Machine Learning jobs?

Cities near Draper, UT with the most No Experience Machine Learning job openings:

Internship | Learning Experience

BrainStorm, Inc.

American Fork, UT • On-site

$13.50 - $18/hr

Full-time, Internship

Re-posted 14 days ago


Job description

Company
 
BrainStorm is a B2B SaaS company that drives digital adoption and organizational change for outstanding companies around the world, including PepsiCo, Agilent Technologies, Mattel, IDEXX, Johnsonville, VF Corp, and more.
 
BrainStorm thrives on a dynamic and fun-loving atmosphere, paired with a steadfast commitment to excellence. Our high-performing team is composed of self-starters who play a pivotal role in driving our success. Once we walk through the door, it's definitely 'Go Time'.

Opportunity
 
Join the award-winning BrainStorm Learning Experience (LX) team! This team is responsible for designing, creating, and maintaining content meant to teach millions of users around the world to adopt AI and software in their work. As an intern, you will help shape how organizations adopt and use technology more effectively. 

This isn't a typical internship. You'll work alongside experts in learning design, behavior change, AI adoption, content creation, and product development while contributing to meaningful projects that support customers around the world.

We're looking for responsible, curious, AI-native students who are eager to learn, take ownership, and make an impact. You don't need prior experience in our field, but experience with Microsoft 365, Google Workspace, Adobe Creative Cloud, AI tools, or other productivity technologies is a plus.
 

Coordinating calendars is nobody's idea of a good time, so we built a faster path.

After you apply, you'll get an email with a link to a quick screening conversation with our AI recruiting assistant - about 10 minutes, on your schedule, no back-and-forth needed. It covers the same ground as a standard screening call: the role, your background, and what you're looking for.

A member of our team reviews every conversation before any decision is made. You're not being evaluated by an algorithm - you're just skipping the scheduling dance.

As a BrainStorm Intern, you'll do things like:
  • Use AI and modern productivity tools to accelerate learning, problem-solving, and build solutions
  • Contribute to the creation and maintenance of learning content and digital learning experiences
  • Assist with research related to learning, change management, and AI adoption
  • Help ensure the quality and accuracy of customer-facing content
  • Support projects involving data analysis, process improvement, or content production
  • Collaborate with team members across a variety of initiatives
What We're Looking For:

Ownership & Responsibility
You follow through on commitments, communicate proactively, and can be trusted to manage your work effectively.

Hunger to Learn
You seek feedback, ask thoughtful questions, and look for opportunities to grow.

AI-Native Mindset
You are comfortable using AI and modern technology to learn, solve problems, and increase your effectiveness.

Flexibility & Adaptability
You can balance competing priorities, learn new tools quickly, and adjust as needs evolve.

Attention to Detail
You take pride in producing high-quality work that reflects BrainStorm's standards.

Collaboration
You work well with others, contribute to discussions, and communicate professionally.

Commitment

   Up to 20 hours per week
   September through December
   In-person at our American Fork, Utah office
 
Many of BrainStorm's strongest full-time employees started as interns. We view this internship as an opportunity to identify, develop, and invest in future team members.
 
BrainStorm provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  
 
BrainStorm Inc is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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