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Machine Learning Engineer Opt Jobs in Bountiful, UT

Tagup

Machine Learning Engineer

Salt Lake City, UT · On-site

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems, focusing on designing, deploying, and scaling ...

Tagup

Machine Learning Engineer

Salt Lake City, UT

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you'll go beyond building models ...

BILL

Senior Machine Learning Engineer

Draper, UT

$97.70K - $134.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$114.50K - $151K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experiences. Responsibilities : • Design ...

BILL

Senior Machine Learning Engineer

Draper, UT · On-site

$145.70K - $174.80K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

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Machine Learning Engineer Opt information

See Bountiful, UT salary details

$29.7K

$121.4K

$182.4K

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

As of May 31, 2026, the average yearly pay for machine learning engineer opt 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 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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Bountiful, UT? For Machine Learning Engineer Opt jobs in Bountiful, UT, the most frequently searched job titles are:
What cities near Bountiful, UT are hiring for Machine Learning Engineer Opt jobs? Cities near Bountiful, UT with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Machine Learning Engineer

Machine Learning Engineer

Tagup

Salt Lake City, UT • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems, focusing on designing, deploying, and scaling AI solutions for mission-critical operations.
Responsibilities:
• Develop, train, and optimize ML models for large-scale applications.
• Build pipelines for data ingestion and model deployment.
• Work with engineers and subject-matter experts to refine solutions.
• Conduct testing and validation to ensure reliability.
• Co-author technical reports on data analysis and model performance.
• Continuously improve ML infrastructure and workflows.
• Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.
Qualifications:
Required:
• 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.
• Proven ability to deploy ML models into production and work with large, complex datasets.
• Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.
• Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.
• Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.
Company:
Tagup provides asset management decision support, lowering the cost of in-service failures, business interruption, and equipment breakdown. Founded in 2015, the company is headquartered in Somerville, USA, with a team of 11-50 employees. The company is currently Early Stage.

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