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Machine Learning Jobs in Draper, UT (NOW HIRING)

Patientco

Sr. Data Scientist

Lehi, UT

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 ...

swirecc

Data Scientist

Draper, UT

Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower ...

swirecc

Data Scientist

Draper, UT

Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower ...

Crew Career Center

Data Scientist

Lehi, UT

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 ...

Waystar

Data Scientist

Lehi, UT · On-site

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 ...

RLDatix

Data Scientist

Lehi, UT · On-site

Own machine learning models end-to-end, from data exploration and experimentation through production deployment, monitoring, and iteration. * Design, train, and evaluate machine learning models using ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems * Experience in large data sets and algorithms * Considers and analyzes ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems * Experience in large data sets and algorithms * Considers and analyzes ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve operational performance and decision-making. You will be part of a broader data science function ...

Maximus

AI/ML Software Developer

Salt Lake City, UT · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

Orem, UT · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Maximus

AI/ML Software Developer

West Jordan, UT · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

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All JobsMachine Learning JobsMachine Learning Jobs in Draper, UT

Machine Learning information

See Draper, UT salary details

$23.8K

$39.8K

$82.3K

How much do machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning in Draper, UT is $39,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
More about Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Draper, UT? The most popular types of Machine Learning jobs in Draper, UT are:
What cities near Draper, UT are hiring for Machine Learning jobs? Cities near Draper, UT with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Draper, UT as of May 2026, with employment types broken down into 49% Full Time, 49% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $39,809 per year, or $19.1 per hour.
Sr. Data Scientist

Sr. Data Scientist

Patientco

Lehi, UT

Other

Medical, Retirement, PTO

Posted 13 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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