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Machine Learning Manager Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

... 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 ...

Senior Data Scientist

Lehi, UT

$107.90K - $183.40K/yr

... 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 ...

... Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior. • Works closely with ...

Data Scientist

Lehi, UT

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve ... Ability to quickly learn new concepts and manage multiple priorities in a dynamic environment

Develop and evaluate innovative applications of machine learning within healthcare use cases ... Demonstrated ability to learn quickly, manage multiple priorities, and operate effectively in a ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Training Manager

West Valley City, UT · On-site

$100K - $110K/yr

Wheeler Machinery Co., a trusted name in heavy equipment solutions across Utah since 1951, is ... You will lead the design and execution of learning programs that build soft skills, product ...

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Machine Learning Manager information

See Utah salary details

$46.4K

$74.4K

$107.4K

How much do machine learning manager jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning manager in Utah is $74,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $84,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 Machine Learning Manager jobs in Utah? For Machine Learning Manager jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Machine Learning Manager jobs? Cities in Utah with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Utah as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $74,385 per year, or $35.8 per hour.
Senior Data Scientist

Senior Data Scientist

nCino

Lehi, UT • On-site

$107.90K - $183.40K/yr

Full-time

Posted 22 days 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.