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Machine Learning Engineer Associate Jobs in Utah

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Waystar

Platform Engineer Machine Learning (Utah)

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive ...

Waystar

Platform Engineer Machine Learning (Utah)

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive ...

Patientco

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Crew Career Center

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

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Showing results 41-60

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Utah

Machine Learning Engineer Associate information

See Utah salary details

$37.8K

$75.2K

$120.2K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer associate in Utah is $75,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $86,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

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

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

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

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

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

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

What cities in Utah are hiring for Machine Learning Engineer Associate jobs?

Cities in Utah with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $75,230 per year, or $36.2 per hour.

Senior Engineer - Machine Learning

Berkadia

Midvale, UT • On-site

$98K - $135K/yr

Full-time

Posted 9 days ago

Job description

Are you looking for an opportunity to bring your unique skills and experiences to a leading commercial loan servicer?
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates. Berkadia now has a dedicated machine learning team and an established generative AI system - Berkie - which is transforming the way Berkadians work. In this role, you will contribute directly to expanding and improving Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue.
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines to agentic systems, intelligent document processing, and generative AI applications. This is a high-impact position for someone passionate about applying AI to real-world problems, who thrives in a collaborative environment and stays ahead in a fast-moving field.
Join Berkadia's loan servicing platform and learn from the best of the best at the largest U.S. non-bank commercial mortgage servicer in the industry. We provide the personal and professional development opportunities you need to impact the commercial real estate industry, build a career that takes the long view, and reach your full potential. Be Your Best Self. Be Berkadia.
We are committed to growing your career, so in this role you will:
Responsibilities:
  • Design, implement, and maintain production-ready machine learning systems using both generative and traditional techniques.
  • Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval.
  • Drive the continued development of Berkie, Berkadia's generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business.
  • Collaborate with cross-functional teams - including product, engineering, and data - to identify impactful problems and translate them into scalable AI solutions.
  • Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration.
  • Establish and contribute to best practices in MLOps, including model deployment, monitoring, observability, and continuous improvement.
  • Participate in peer reviews, design discussions, and team learning sessions to foster transparency and knowledge-sharing.
  • Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team.
  • Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role.
  • Take initiative, share wins, and work with purpose - we value engineers who care deeply about their craft and their impact on others.

We are passionate about your growth, so to achieve success in this role you should have:
Qualifications:
  • 6+ years of professional software development experience, with a focus on Python.
  • Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering).
  • Required experience designing and building AI agents, including tool use, orchestration, memory/context management, and workflow automation.
  • Required experience building AI evaluation harnesses to test, measure, monitor, and improve agent and LLM application quality.
  • Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).
  • Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning.
  • React frontend development skills/Javascript are a plus.
  • Experience with Agile methodologies and CI/CD practices.
  • Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred

We believe People Matter, so we offer benefits that go beyond:
  • Monthly paid volunteer hours and donation matching to benefit our communities
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning services
  • Up to 12-weeks of fully paid parental leave
  • Mental health care, including free counseling sessions:
  • We'll help you fund your learning journey with generous tuition reimbursement
  • Pet insurance discounts
  • And more!

Be Your Best Self. Be Berkadia.
#LI-HG1 #LI-HYBRID
Berkadia, as an equal opportunity employer, celebrates our employees' unique differences, which we believe drives personal and company-wide innovation and creates a people-first culture where your career can take the long view. To achieve these goals, we are committed to the full inclusion of all qualified individuals, without regard to race, religion, age, color, national origin, gender, sexual orientation, gender identity or expression, marital status, domestic partner status, military and veteran status, disability, pregnancy, parental status, genetic information, political affiliation, or any other status protected by federal, state and local laws.
In keeping with our commitment, Berkadia takes the necessary steps to provide a workplace free from harassment and discrimination, as well as access and reasonable accommodations for individuals with disabilities. If you require reasonable accommodation to take part in the interview process, please contact talentacquisition@berkadia.com.
You have rights under Federal and State employment laws. No question in this Application is intended to elicit information in violation of any such law, nor will any information obtained in response to any question be used in violation of any such law. If you apply for this role, you are acknowledging Berkadia's Application Policy and Berkadia's Privacy Policy. Please click the following links for more information about: EEOC, Employee Rights under the FMLA, EPPA.

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