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Learning Services Jobs in Utah (NOW HIRING)

Family Services Specialist

Genola, UT · On-site

$16.92 - $22.83/hr

Family Services Specialist Join our team as a Family Services Specialist! Under the dynamic ... Support families' learning in safety, health, mental health, financial stability, life goals, and ...

Family Services Specialist

UT · On-site

$16.92 - $22.83/hr

Family Services Specialist Join our team as a Family Services Specialist! Under the dynamic ... Support families' learning in safety, health, mental health, financial stability, life goals, and ...

We work to deliver an essential service that customers rely on to get their groceries and household ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

We work to deliver an essential service that customers rely on to get their groceries and household ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Showing results 41-60

Learning Services information

What are some common challenges faced by professionals in learning services, and how can they be addressed?

Professionals in Learning Services often encounter challenges such as adapting training content for diverse audiences, ensuring engagement in both in-person and virtual environments, and keeping up with evolving educational technologies. To address these challenges, it's helpful to regularly solicit feedback from learners, collaborate closely with subject matter experts, and participate in ongoing professional development. Effective communication and flexibility are key, as the role frequently involves working with cross-functional teams to deliver impactful learning experiences.

What is learning services?

Learning Services refer to a range of support offerings designed to enhance educational experiences and outcomes. These services can include tutoring, instructional design, curriculum development, training workshops, and educational technology support. Learning Services professionals work in schools, universities, corporate training departments, and other educational settings to help individuals and organizations achieve their learning goals. Their work often involves assessing learning needs, developing resources, and facilitating effective learning strategies.

What are the key skills and qualifications needed to thrive in learning services?

Success in Learning Services requires expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education or instructional design. Familiarity with learning management systems (LMS), e-learning authoring tools, and assessment platforms is typically necessary. Strong communication, creativity, and organizational skills help professionals engage diverse learners and adapt content effectively. These competencies ensure that learning programs are impactful, accessible, and aligned with organizational goals.

What is the difference between Learning Services vs Training Coordinator?

AspectLearning ServicesTraining Coordinator
Required CredentialsTypically a degree in education, training, or related fieldOften a degree or certification in training, education, or HR
Work EnvironmentCorporate, educational institutions, online platformsCorporate offices, training centers, or online
Employer & Industry UsageUsed across education, corporate, and nonprofit sectorsPrimarily in corporate and organizational training settings
Common Search & Comparison IntentUnderstanding roles in learning and developmentLooking for roles related to organizing and delivering training

Learning Services focuses on designing, developing, and managing learning programs across various platforms, often involving curriculum development and instructional design. Training Coordinators primarily organize and facilitate training sessions, ensuring effective delivery of training programs. While both roles support employee development, Learning Services has a broader scope in program creation, whereas Training Coordinators focus on execution and logistics.

What are the most commonly searched types of Learning Services jobs in Utah? The most popular types of Learning Services jobs in Utah are:
Infographic showing various Learning Services job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Machine Learning Engineer

University of Utah Health

Salt Lake City, UT • On-site

$101K - $138K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 4 days ago


University Of Utah Health rating

7.7

Company rating: 7.7 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

160th of 887 rated healthcare providers


Job description

Overview
The Chief Innovation Office (CIO) at University of Utah Health (U of U Health) would serve as the strategic hub for advancing healthcare innovation, digital transformation, research commercialization, and new models of patient care. The office would connect clinical operations, research, education, and technology to accelerate the delivery of innovative solutions that improve health outcomes, patient experiences, and operational efficiency.
  • Senior Machine Learning Engineers leverage their engineering expertise to solve a variety of technical problems for some of the most challenging and impactful projects in healthcare informatics and machine learning.
  • You will work on a specific project critical to our needs with the opportunity to switch teams and projects as you and our fast-paced business grow. We need machine learning engineers who are versatile, rigorous, display leadership qualities and are enthusiastic to take on new problems.
  • You will design, develop, test, deploy, maintain and enhance machine learning and AI solutions.
  • You will be part of the Innovation Office, a product factory inside the health system of the University of Utah.

Location: 102 Tower (Downtown SLC)
Schedule: Monday - Friday 9 AM - 5 PM
Benefits:
  • Save 50% on Tuition (Tuition reduced for eligible employees attending the University of Utah)
  • Health Coverage, Dental Coverage, Life Insurance
  • Retirement
  • Paid Time Off
  • 11 Paid Holidays per year

Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
We encourage candidates to submit resumes that accurately reflect their own skills, experience, and accomplishments. The information provided during the application process must be truthful and authentic, as qualifications may be verified during the hiring process.
Responsibilities
Essential Functions
  • Creating, managing, maintaining, and refactoring ML codebases, pipelines, and workflows for the innovation office.
  • Collaborating closely with research, medical, and engineering staff to design and implement ML approaches.
  • Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and technical staff.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices and modeling decision.
  • Assisting in preparation of manuscripts and dissemination of results in the appropriate venues.
  • Conducing tasks independently and communicate optimally to team members and stakeholders.
  • Developing deployable solutions for the health care system.
Knowledge / Skills / Abilities
  • Hands-on coding in C++, Python, PyTorch, or Tensorflow.
  • Foundational understanding of supervised and unsupervised learning, reinforcement learning, and machine learning.
  • Independently execute in the face of ambiguity
  • Leads identifications of dependencies and the development of design documents for a product, application, service, or platform.
  • Write efficient systems code and tests and able to debug distributed systems.
  • Work on-call to monitor systems/product/service for degradation, downtime or interruptions.
  • Innovative mindset with a keen eye for identifying opportunities for improvement.
  • Ability to thrive in a fast-paced, dynamic environment and simultaneously handle multiple projects.
  • Partner effectively with other engineers, product managers, and stakeholders.

Qualifications
Required
  • Bachelor's degree in a relevant field.
  • 5 years of experience in software engineering.

Qualifications (Preferred)
Preferred
  • Experience working in complex academic medical center environments.
  • Experience with large multimodal health datasets.
  • Experience with lifecycle management in a fast-paced software environment.
  • Experience in shipping products and scalable, reliable services.
  • Hands on experience with asynchronous programming and concurrency (threads, tasks, futures, async/await).
  • Experience with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and/or Google Kubernetes Engine (GKE) '
  • Experience in building database engines, query engines, indexing solutions (columnar, full-text, vector), at scale.
  • Experience with programming CUDA, AI systems at scale.
  • Experience with live site operations, Site Reliability Engineering (SRE) or production support roles.
  • Experience in networking, distributed systems, lower-level infrastructure.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
  • Experience with AI agents.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
  • This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.

Physical Requirements
Carrying, Climbing, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Tasting or Smelling, Walking

What University Of Utah Health employees say

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