ZipRecruiter

Log In

1

Director Machine Learning Jobs in Utah (NOW HIRING)

Smule

Director of Engineering

Salt Lake City, UT · On-site

Smule is seeking a Director of Engineering to lead teams building scalable, reliable, and AI ... Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

$200 - $250/hr

Smule is seeking a Director of Engineering to lead teams building scalable, reliable, and AI ... Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ...

CardWorks

Director, Data Science

South Jordan, UT · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... This position combines advanced analytics, machine learning, Generative AI, competitive ...

Nelnet, Inc.

Director, Credit Risk Management

Draper, UT · On-site

$200 - $250/hr

Deep hands- on machine learning and statistical modeling skills, including tree-based segmentation ... direct authority. Bachelor's degree in Engineering, Data Science, Statistics, Mathematics ...

Nelnet, Inc.

Director, Credit Risk Management

Draper, UT · On-site

$200K/yr

Deep hands-on machine learning and statistical modeling skills, including tree-based segmentation ... direct authority. * Bachelor's degree in Engineering, Data Science, Statistics, Mathematics ...

next page

Showing results 1-20

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Utah

Director Machine Learning information

See Utah salary details

$32.8K

$83.7K

$128.4K

How much do director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director machine learning in Utah is $83,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 Director Machine Learning jobs in Utah?

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

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

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

Director Machine Learning jobs near you

Intern - Applied AI & Data Science

Salt Lake City, UT

ARUP Laboratories
Health Care and Social Assistance • 1 - 5K employees
Learn more about ARUP Laboratoriesexternal

$20/hr

Part-time

Posted 12 days ago

Key responsibilities

  • Work on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

  • Collaborate with a senior data scientist mentor to perform exploratory data analysis, train machine learning or deep learning algorithms, or develop AI agents.

  • Present the final product or analysis to data scientists, medical directors, and scientists from across the company.

ARUP Laboratories rating

7.3

Company rating: 7.3 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

73rd of 121 rated laboratories

Job description

Schedule:
Duration of Internship: September 14, 2026 - December 14, 2026
Status: Non-benefited
Hours: Less than 29 hours per week
Days: Monday - Friday, flexible based on intern availability

Department: R&I Appl AI & Bioinformatics - 339

The Intern is utilized in various departments. ARUP's culture is one of caring for both the patient and its employees.

About the Supervisor:

Brendan O’Fallon, PhD., is the Bioinformatics Director at ARUP, and oversees the Applied AI (AAI) team.  The team works on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

Internship Description:

Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups.  At the end of the internship the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Internship Goals: 

  • Develop proficiency with python data analysis tools
  • Refine data visualization skills
  • Become familiar with development of AI (LLM-based) agents
  • Learn basic concepts of laboratory information science

Knowledge, Skills & Techniques Learned from Internship:

Agentic Workflows

Data Science in Laboratory Medicine

LLM validation and QC

Basics of genomics, hematopathology, and/or digital pathology

Data visualization and written communication of scientific concepts

Measurement of New Skills:

Intern will be asked to present project to suitable user group at the end of the internship, including data scientists, MDs, laboratory staff, or other groups as relevant to the project.

About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

What ARUP Laboratories employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply