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Junior Machine Learning Engineer Jobs in Provo, UT

Patientco

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

... machine learning and data engineering to develop scalable solutions. - Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team - Be a ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

Work closely with Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning and analytical systems applied to design ...

nCino

Senior Data Scientist

Lehi, UT · On-site

... machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages • Proficient creating machine learning, predictive modeling, and ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications ... Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Adobe

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

Understanding of machine learning techniques, specifically involving supervised learning applied to ... engineering preferred, or related work experience * Knowledge of Microsoft Office, specifically ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

mthree

Junior Software Engineer

South Jordan, UT

$23.08 - $30.29/hr

School of Engineering. All mthree Alumni are eligible to receive two Executive Education ... At mthree, our values support courageous teammates, needle movers, and learning champions all while ...

mthree

Junior Software Engineer

South Jordan, UT · On-site

$48K - $63K/yr

School of Engineering. All mthree Alumni are eligible to receive two Executive Education ... At mthree, our values support courageous teammates, needle movers, and learning champions all while ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Provo, UT

Junior Machine Learning Engineer information

See Provo, UT salary details

$31.7K

$67.9K

$103.6K

How much do junior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior machine learning engineer in Provo, UT is $67,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $75,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Provo, UT? The most popular types of Machine Learning Engineer jobs in Provo, UT are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Provo, UT? For Junior Machine Learning Engineer jobs in Provo, UT, the most frequently searched job titles are:
What cities near Provo, UT are hiring for Junior Machine Learning Engineer jobs? Cities near Provo, UT with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $67,919 per year, or $32.7 per hour.

Sr. Data Scientist

Patientco

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago

Job description

ABOUT THIS POSITION

We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.

WHAT YOU'LL DO

  • Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design information and user behavior

  • Worksclosely withApplication Engineering teams to gather and process data,as well as in surfacing variousanalytically-basedfeatures in core products

  • Workson groundbreaking new applications of machine learning and analytic technology toHealthcare, producing quantitative, justifiable results to guide feature planning

  • Translatesreal-worldHealthcare problems to mathematical frameworks

  • WorkswithProductManagement,Marketing,andSales as needed to promote sales and to incorporate market and customer feedback

  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to largedata-setsand validating results will be common tasks for this role

  • Understands, organizes, and communicatesroot causes of problems and successessuccinctly

WHAT YOU'LL NEED

  • Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods

  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Understanding of orders of algorithms and how they scale

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQLServer)

  • Ability to code in 1+ general purpose programming language (C#, Java, etc.)

  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Outstanding presentation abilities and the ability to communicatewithall levels of theBusiness

  • Comfortable working innewly-forming, ambiguous areas where learning and adaptability are key skills

  • Outstanding communication and interpersonal skills

  • Must possess strong analytical, problem-solving,and writing skills

  • Proficient in Microsoft Office applications

  • Detail-oriented

  • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred

  • An aptitudefor medical informatics is preferred

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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