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Machine Learning Engineer Jobs in Bountiful, UT (NOW HIRING)

Sunwest Bank

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... machine-learning models or AI services aligned with business needs • Support deployment of AI ... programming skills or similar languages • Experience with machine-learning libraries such as ...

Pwc

NGA AI Engineer Senior Manager

Salt Lake City, UT

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128.50K/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 ...

swirecc

Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

swirecc

Data Engineer

Draper, UT

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

Maximus

AI/ML Software Developer

Salt Lake City, UT · Remote

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

New

Maximus

AI/ML Software Developer

West Jordan, UT · Remote

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

New

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Machine Learning Engineer information

See Bountiful, UT salary details

$29.7K

$121.4K

$182.4K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer in Bountiful, UT is $121,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Bountiful, UT are hiring for Machine Learning Engineer jobs? Cities near Bountiful, UT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Sunwest Bank

Sandy, UT • On-site

$108.80K - $130.70K/yr

Full-time

Posted 22 days ago

Job description

Job Title: AI/ML Engineer
Department: IT
Reports to:
Status: ☐ Exempt ☐ Non-Exempt
About the Role
The AI / ML Engineer is responsible for building intelligent applications and workflows that convert Sunwest Bank's data into automation and actionable insights. This role focuses on developing AI-driven solutions using financial, customer, and CRM data stored in OneLake to streamline sales and operational processes. The position collaborates with technical and business teams to design, implement, and deploy AI solutions that support document processing, predictive analytics, and internal AI-assisted workflows.
Work Details
Schedule: Monday - Friday,
Onsite-Sandy, UT
Travel: None
What You'll Do
• Develop AI-powered applications and workflows that automate tasks and generate insights from Bank data
• Use financial, customer, and CRM data (including Salesforce) stored in OneLake to support automation initiatives
• Lead AI projects such as intelligent document processing, predictive analytics, and internal AI assistants
• Collaborate with data engineers and business teams to identify and define AI use cases
• Design, train, and implement machine-learning models or AI services aligned with business needs
• Support deployment of AI solutions into production workflows, ensuring scalability and reliability
What We're Looking For
(Required)
• Strong Python programming skills or similar languages
• Experience with machine-learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Ability to work with structured data (SQL, data frames) and unstructured data (text, images)
• Understanding of machine-learning techniques including regression, classification, clustering, and NLP
• Experience building and evaluating models using tabular and text datasets
• Familiarity with data platforms such as OneLake or Azure
• Strong problem-solving ability and experience translating business needs into AI solutions
(Nice to Have)
• Experience within financial services or sales/CRM-based workflows • Experience with Azure AI services such as Azure ML or Cognitive Services
• Experience with MLOps practices and deploying AI models into production
• Advanced education (MS or PhD) in Computer Science, Data Science, or a related field
Why You'll Love Working Here
• Team Culture
• Growth Opportunities
• Benefits or Perks
The Fine Print This job description reflects the general nature of the role and may change as business needs evolve. We are an equal opportunity employer. Sunwest Bank works with staff members and customers without regard to race, ancestry, national origin, sex, marital status, age, religion, medical condition, handicap, disability or veteran status and to assist the Bank in maintaining its Affirmative Action Program. Compliance with Bank Secrecy Act laws and regulations is considered an extremely serious matter, and it is intended that Sunwest Bank, through the purposeful efforts of its employees and officers, are expected to make every resolute attempt to conform to its Bank Secrecy Act Program and Procedures. Failure to comply will be reflected in their performance review as well as in any bonus compensation programs in which they may participate. Attend and complete all required classroom, computer-based, web-based and seminar training. It is the individual responsibility of every employee to maintain a current awareness and understanding of and to fully comply with Sunwest Bank's "Code of Ethics and Conduct." Each employee is also expected to maintain an awareness of the laws, regulations, internal policies and procedures that are appropriate for his/her position. Note: The preceding job description has been designed to indicate the general nature and level and work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All job descriptions can be amended without notice as warranted by business necessity. Federal Deposit Insurance Act This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on Sunwest Bank's review of criminal conviction history, including pretrial diversions or program entries

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