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Senior Machine Learning Engineer Jobs in Utah (NOW HIRING)

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... programming languages * Proficient creating machine learning, predictive modeling, and advanced ...

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their ... programming languages • Proficient creating machine learning, predictive modeling, and advanced ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

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Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production.

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow ... Senior Data Engineer (or closely related occupation) architecting, building, deploying, and ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow ... Senior Data Engineer (or closely related occupation) architecting, building, deploying, and ...

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

... and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow ... Senior Data Engineer (or closely related occupation) architecting, building, deploying, and ...

Extractive Metallurgist

Moab, UT · On-site

$100K - $160K/yr

You'll work closely with operations, engineers, machine learning experts, and data scientists to develop innovative solutions that improve efficiency, recovery, and throughput across our projects.

Sr. Metallurgical Process Engineer

Moab, UT · On-site

$104K - $135K/yr

Role Overview Mariana Minerals is seeking a highly motivated Sr. Metallurgical Process Engineer to ... machine learning teams * Ensure safe operations by supporting EHS, hazard assessments, risk ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Utah salary details

$54.2K

$115.2K

$167.1K

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

As of Jul 9, 2026, the average yearly pay for senior machine learning engineer in Utah is $115,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $130,600.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 cities in Utah are hiring for Senior Machine Learning Engineer jobs? Cities in Utah with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,214 per year, or $55.4 per hour.

$107K - $183K/yr

Full-time

Re-posted 1 hour ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.


Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.


 

Essential Functions:

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems

  • Experience in large data sets and algorithms

  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems

  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner

  • Understanding of data science priorities and how each contributes to the success of nCino

  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches

  • Extensive experience in developing, deploying, and monitoring complex machine learning models

  • Lead and guide teams in implementing programming best practices and adopting emerging technologies

  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.

  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.

  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.

  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:

Required:

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education

  • Demonstrated mastery of programming skills in Python or R

  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)

  • Demonstrated mastery of machine learning algorithms and techniques

  • Strong problem-solving skills and ability to work independently and collaboratively

  • Strong experience with SQL or noSQL and database management systems

  • Experience deploying and monitoring models in production

  • Strong understanding of the business domain

  • Ability to translate business questions into analytics projects and deliver actionable insights

  • Flexibility and the ability to be productive in a fast-paced, team environment

  • Excellent verbal and written communication skills for technical and non-technical audiences

  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field

  • Experience developing and deploying models using Databricks and mlflow

  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight

  • Experience with Agile software development


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

The base salary range for this job is:

$107,900.00 - $183,400.00

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.