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Machine Learning Manager Jobs in Utah (NOW HIRING)

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 ...

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 ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

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

Waystar

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 ...

Waystar

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 ...

Crew Career Center

Data Scientist

Lehi, UT

... 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 ...

Patientco

Data Scientist

Lehi, UT

... 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 ...

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

... Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

... 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 ...

Patientco

Sr. Data Scientist

Lehi, UT

... 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 ...

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 ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Utah

Machine Learning Manager information

See Utah salary details

$46.4K

$74.4K

$107.4K

How much do machine learning manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning manager in Utah is $74,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $84,200.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Utah?

The most popular types of Machine Learning jobs in Utah are:

What are popular job titles related to Machine Learning Manager jobs in Utah?

For Machine Learning Manager jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Utah look for?

The top searched job categories for Machine Learning Manager jobs in Utah are:

What cities in Utah are hiring for Machine Learning Manager jobs?

Cities in Utah with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $74,385 per year, or $35.8 per hour.

Sr. Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 3 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
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks

  • Works with Product Management, Marketing, and Sales 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 large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates root causes of problems and successes succinctly

WHAT YOU'LL NEED
  • Complete familiarity with various statistical and machine learning techniques including: 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. SQL Server)
  • 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 communicate with all levels of the Business
  • Comfortable working in newly-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 aptitude for 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.com or follow @Waystar on 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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