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Mlops Engineer Jobs in Utah (NOW HIRING)

Deloitte

Google AI Lead Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build. * Lead cloud-native ...

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Come be a part of our team and help lead the transformation of engineering and banking through ... MLOps/LLMOps strategy. * Enhance the Enterprise Architecture practice by designing forward-looking ...

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Come be a part of our team and help lead the transformation of engineering and banking through ... MLOps/LLMOps strategy. * Enhance the Enterprise Architecture practice by designing forward-looking ...

Mastercard, Inc.

Data Scientist I

Salt Lake City, UT · On-site

Work closely with data engineers and developers to build and deploy interactive dashboards ... data science pipelines, MLOps frameworks and libraries etc.). • Experience of working in ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

... engineers and developers to build and deploy interactive dashboards, providing the best, most ... Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and ...

MasterCard

Data Scientist I

Holladay, UT · On-site

Work closely with data engineers and developers to build and deploy interactive dashboards ... Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and ...

Cisco

Applied AI Scientist

Lehi, UT · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

Cisco

Applied AI Scientist

Salt Lake City, UT

Collaborate with engineering, product, and data science teams to understand requirements ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Utah

Mlops Engineer information

See Utah salary details

$90.7K

$142.3K

$165.1K

How much do mlops engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mlops engineer in Utah is $142,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,687.00 and $153,379.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Utah?

The most popular types of Mlops Engineer jobs in Utah are:

What are popular job titles related to Mlops Engineer jobs in Utah?

For Mlops Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Utah look for?

The top searched job categories for Mlops Engineer jobs in Utah are:

What cities in Utah are hiring for Mlops Engineer jobs?

Cities in Utah with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $142,306 per year, or $68.4 per hour.

Enterprise Architect - CONTRACT

NexusTek

Salt Lake City, UT • On-site

$165 - $248/hr

Other

Posted 17 days ago

Job description

Engagement Type: Contract, 1099 Preferred

Duration: 6 month engagement starting in early August

Rate: Commensurate with experience - details provided on initial call

Hours: 40 hours per week

Location:On-site in Salt Lake City, UT

The Enterprise Architect- AI will lead the design, strategy, and implementation of AI-enabled systems and intelligent platforms across the enterprise. This role will define how AI is responsibly and effectively integrated into the client's ecosystem, leveraging strong foundations in data architecture, APIs, and event-driven systems to drive innovation, personalization, and operational efficiency. This position offers the opportunity to shape our technological landscape and drive transformative change.

The Enterprise Architect designs, implements, maintains, and solves complex enterprise-wide solutions. This role evaluates current systems and applies technical proficiency, creativity, and collaboration to recommend enhancements to ensure flexibility, resilience, scalability, and high performance. The Enterprise Architect is recognized as a master within the technical discipline and will possess extensive experience in building robust systems and strong collaboration, design, and negotiation skills to align technology solutions with business objectives. This position works closely with cross-functional, distributed teams to develop and sustain a cohesive enterprise architecture framework that supports organizational goals. This position offers the opportunity to shape our technological landscape and drive transformative change.

Primary Responsibilities
  • Define and maintain enterprise architecture standards, roadmaps, and reference architectures.
  • Align business strategy with technology investments across academic and administrative systems.
  • Partner with senior leaders to guide long-term digital transformation.
  • Frequently provides mentorship, guidance, and training to team members and other employees across the organization.
  • Lead API-first architecture strategy, governance, and lifecycle management.
  • Establish best practices for REST, GraphQL, and asynchronous APIs.
  • Drive reuse, discoverability, and security of enterprise services.
  • Design and implement event-driven systems using modern messaging platforms (e.g., Kafka, SNS/SQS).
  • Define event schemas, contracts, and governance models.
  • Guide integration of ML/AI services into enterprise platforms.
  • Evaluate and operationalize emerging technologies responsibly and ethically.
Cross-Functional Collaboration
  • Work closely with product, engineering, data, and security teams.
  • Influence architecture decisions across multiple domains and portfolios.
  • Mentor architects and senior engineers.
Governance & Standards
  • Establish architecture review processes and ensure compliance with standards.
  • Drive adoption of cloud-native, microservices, and domain-driven design principles.
Required
  • 10+ years in software engineering, architecture, or related roles.
  • 3 years as an Enterprise or Solution Architect or 8 years in a technical leadership role (e.g., technical lead, principal engineer).
  • Proven experience designing enterprise-scale distributed systems and delivering a successful technology transformation.
  • Deep expertise in:
    • API architecture and integration patterns
    • Event-driven systems and messaging platforms
    • Cloud platforms (AWS, Azure, or GCP)
  • Strong understanding of microservices, domain-driven design, and system integration.
  • Experience working with cross-functional stakeholders and executive leadership.
  • Exceptional collaboration, design, and negotiation skills, with the ability to effectively communicate, present, and document complex technical concepts to diverse stakeholders.
  • Development experience in languages such as Java, C++, or Python.
  • Hands-on experience with AI solutions
Preferred
  • Experience with AI/ML systems integration (e.g., LLMs, MLOps pipelines).
  • Background in higher education, EdTech, or mission-driven organizations.
  • Familiarity with data architecture, analytics platforms, and governance.
  • Certifications (e.g., TOGAF, AWS/Azure Architect) are a plus.
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