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Machine Learning Scientist Jobs in Utah (NOW HIRING)

Senior Engineer - Machine Learning

Midvale, UT ยท Hybrid

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...

Senior Machine Learning Engineer

Lehi, UT ยท On-site +1

$144K - $233K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience. $144,000 - $233,100 a year This band covers the full salary ...

Senior Machine Learning Engineer

Lehi, UT ยท On-site

$144K - $233K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience. $144,000 - $233,100 a year This band covers the full salary ...

Senior Machine Learning Engineer

Lehi, UT ยท On-site +1

$98K - $134K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience. This band covers the full salary range for the role. Your ...

Senior Machine Learning Engineer

Sandy, UT ยท Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...

Data Scientist

Lehi, UT ยท 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 ...

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 ...

Data Scientist

Lehi, UT ยท On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Showing results 21-40

Machine Learning Scientist information

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.

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

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

Infographic showing various Machine Learning Scientist job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Senior Engineer - Machine Learning

Berkadia

Midvale, UT โ€ข Hybrid

$98K - $135K/yr

Full-time

Posted 23 days ago


Job description

Are you looking for an opportunity to bring your unique skills and experiences to a leading commercial loan servicer?

As aย Senior Engineer,ย Machine Learningย at Berkadia,ย you'llย be at the forefront of applyingย cutting-edgeย machine learning and generative AI to redefine how the commercial real estate industryย operates. Berkadia now has a dedicated machine learning team and an established generative AI system -ย Berkieย - which is transforming the wayย Berkadiansย work. In this role, you will contribute directly to expanding and improvingย Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue.ย 

You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systemsย -ย 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.ย 

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.ย Be Your Best Self. Be Berkadia.

We are committed to growing your career, so in this role you will:

Responsibilities:

  • Design, implement, andย maintainย production-ready machine learning systems using both generative and traditional techniques.ย 
  • Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval.ย 
  • Drive the continued development ofย Berkie, Berkadia's generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business.ย 
  • Collaborate with cross-functional teams - including product, engineering, and data - toย identifyย impactful problems and translate them into scalable AI solutions.ย 
  • Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration.ย 
  • Establish and contribute to best practices inย MLOps, including model deployment, monitoring, observability, and continuous improvement.ย 
  • Participate in peer reviews, design discussions, and team learning sessions to foster transparency andย knowledge-sharing.ย 
  • Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team.ย 
  • Stayย up-to-dateย with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role.ย 
  • Take initiative, share wins, and work with purpose - we value engineers who care deeply about their craft and their impact on others.ย 

We are passionate about your growth, so to achieve success in this role you should have:ย 

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 Scienceย or another STEM field withย heavy analyticsย focus preferredย 

We believe People Matter, so we offer benefits that go beyond:

  • Monthly paid volunteer hours and donation matching to benefit our communitiesย 
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning servicesย ย 
  • Up to 12-weeks of fully paid parental leaveย ย ย 
  • Mental health care, including free counseling sessions:ย ย 
  • We'll help you fund your learning journey with generous tuition reimbursementย 
  • Pet insurance discountsย 
  • And more!ย 

Be Your Best Self. Be Berkadia.ย 

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