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Executive Full Stack Machine Learning Engineer Jobs in Utah

About the role We're looking for a high-impact Senior Full Stack Engineer to help build and scale the core infrastructure powering Enzo Health. You'll work across the stack to develop fast, reliable ...

Software Engineer (Full Stack)

Lehi, UT · On-site

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional ...

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

Lehi, UT THE ROLE As a Full-Stack Developer at Opiniion, you'll help build and improve the products ... and keep learning. * Autonomous: you can take a well-scoped problem and drive it to done, while ...

Software Engineer (Full Stack)

Lehi, UT · On-site

$100K - $140K/yr

We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional ...

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

... full-stack Software Engineer III on our Satori AI Platform team, you will be building the interfaces and APIs that our Fortune 500 customers use to deploy, monitor, and control AI security agents ...

Deep understanding of Reactive Programming, design patterns, system architecture. * Strong ... Will be using a similar stack which is (M)ongo, (N)odeJS but not (A)ngular.JS or (E)xpress. It ...

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... To achieve these goals, we are committed to the full inclusion of all qualified individuals ...

Senior Engineer - Machine Learning

Midvale, UT · Hybrid

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... full potential. Be Your Best Self. Be Berkadia. We are committed to growing your career, so in this ...

Full Stack Developer L3

Redmond, UT · On-site

$60K - $148K/yr

Job Title: Full Stack Developer L3 City: Redmond State/Province: Washington Posting Start Date: 7/29/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

Full Stack developer L1

Redmond, UT · On-site

$60K - $148K/yr

Job Title: Full Stack developer L1 City: Redmond State/Province: Washington Posting Start Date: 8/6/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

About the Role The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely ...

... the full app delivery stack. Design and implement highly resilient, scalable, and performant ... Experience with generative AI, machine learning, and predictive algorithms Familiarity with ...

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Utah?

The most popular types of Full Stack Machine Learning Engineer jobs in Utah are:

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For Executive Full Stack Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Utah are:

What cities in Utah are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities in Utah with the most Executive Full Stack Machine Learning Engineer job openings:

Senior Full Stack Software Engineer

Wheeler Machinery Co

Salt Lake City, UT • On-site

Other

Posted 7 days ago


Wheeler Machinery rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

31st of 174 rated vehicle equipment hire


Job description

Job Type
Full-time
Description
The Senior Full Stack Software Engineer is the most senior individual contributor responsible for architecting, designing, and building web, mobile, and internal applications at Campbell Companies. This role owns technical direction across the application portfolio, sets and enforces engineering standards, drives step-change productivity gains through the effective use of AI, mentors engineers at all levels, and leads legacy system modernization initiatives from business case through delivery. The Senior Full Stack Software Engineer works closely with the Manager, Engineering & AI Solutions and the AI & Automation Engineer to deliver high-quality, scalable software solutions.
Duties and Responsibilities
Application Development & Architecture:
  • Lead architecture and development of web, mobile, and internal applications; own coding standards, tech stack decisions, and definition of done.
  • Design and govern the API landscape: REST service design, authentication standards, versioning, and documentation.
  • Set the multi-year technical roadmap for the application portfolio; lead build-versus-buy evaluations and present recommendations to Digital & IT leadership.
  • Embed security and performance requirements into design: threat modeling, secure coding practices, and load and scalability testing.
  • Implement and enforce UI/UX standards; ensure consistent, accessible user experiences across all applications.
  • Partner with AI & Automation Engineer to introduce AI-assisted development practices (GitHub Copilot, AI code review).
  • Set the standard for AI-leveraged engineering: redesign development workflows around AI tooling, measure the resulting productivity gains, and coach the team toward the same level of output.

Legacy Modernization:
  • Assess technical debt in legacy systems; define incremental refactoring and migration paths.
  • Lead legacy system modernization sprints, ensuring backward compatibility and stakeholder communication.
  • Own the modernization business case: sequencing, effort and cost estimates, and risk trade-offs presented to business stakeholders.

Quality & Testing:
  • Define and track automated testing coverage; champion test-driven development.
  • Conduct thorough code reviews; provide constructive, growth-oriented feedback to team members.
  • Own monitoring and observability for application workloads using Azure Monitor and Application Insights.

Mentorship & Team Contribution:
  • Mentor Software Engineers through pairing sessions, code reviews, and technical knowledge sharing.
  • Serve as the technical escalation point for complex production issues; lead root-cause analysis and blameless postmortems.
  • Partner with the Manager, Engineering & AI Solutions on technical interviews, hiring decisions, and engineer development plans.
  • Participate actively in agile ceremonies: sprint planning, standups, retrospectives, and backlog grooming.
  • Document code, APIs, and feature behavior to maintain a healthy engineering knowledge base.
  • Performs all other duties as assigned.

Qualifications
Education:
  • Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience considered. Master's degree in a related field preferred.

Experience:
  • Minimum of 7 years of full-stack software engineering experience in production environments, including at least 2 years in a senior or technical lead capacity.
  • Demonstrated experience owning end-to-end architecture for multiple production applications, and mentoring both junior and mid-level engineers.
  • Demonstrated track record of using AI tools to multiply engineering output - candidates should be able to point to work where AI-assisted development delivered order-of-magnitude (up to 20x) gains in throughput or cycle time, and explain how those gains were measured.

Technical Skills:
  • Front-end: JavaScript/TypeScript, React, Angular, or Vue; HTML5, CSS3.
  • Back-end: C#/.NET Core, Node.js, or Python.
  • Database: SQL Server, Azure SQL, or equivalent; understanding of ORMs and query optimization.
  • Azure application services: App Service, Azure Functions, Container Apps, API Management.
  • Source control: Git; CI/CD: Azure DevOps or GitHub Actions.
  • Experience with REST API design, OAuth/OIDC authentication patterns.
  • Containerization and infrastructure as code: Docker, plus Bicep or Terraform.
  • Event-driven and integration patterns: Azure Service Bus, Event Grid, or equivalent messaging platforms.
  • Application security and performance engineering: threat modeling, profiling, and cost-aware cloud design.

Certifications (Preferred):
  • Microsoft Certified: Azure Developer Associate (AZ-204).
  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).

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