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Mlops Engineer Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineer with a passion for building robust, efficient, and domain-specific AI systems using ... MLOps & Deployment: * Deploy, manage, and monitor LMs and agentic components on Google Cloud ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineer with a passion for building robust, efficient, and domain-specific AI systems using ... MLOps & Deployment: * Deploy, manage, and monitor LMs and agentic components on Google Cloud ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineer with a passion for building robust, efficient, and domain-specific AI systems using ... MLOps & Deployment: * Deploy, manage, and monitor LMs and agentic components on Google Cloud ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

Berkadia

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 ... Establish and contribute to best practices in MLOps, including model deployment, monitoring ...

Socket.dev

Senior Engineer - Machine Learning

Midvale, UT · On-site

$140 - $210/hr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Establish and contribute to best practices in MLOps, including model deployment, monitoring ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT · On-site

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... Preferred : • Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker ...

Opiniion

DevOps Engineer

Lehi, UT · On-site

$140 - $190/hr

... Engineer to own the reliability, scalability, and security of our AWS infrastructure. This is a ... Experience supporting AI/ML workloads or MLOps pipelines on AWS. * Background in high‑growth SaaS ...

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Opiniion

Staff DevOps Engineer

Lehi, UT · On-site

$120 - $180/hr

... Engineer to own the reliability, scalability, and security of our AWS infrastructure. This is a ... Experience supporting AI/ML workloads or MLOps pipelines on AWS. * Background in high‑growth SaaS ...

Midwest Startups

Staff DevOps Engineer

Lehi, UT · On-site

$140 - $180/hr

... Engineer to own the reliability, scalability, and security of our AWS infrastructure. This is a ... Experience supporting AI/ML workloads or MLOps pipelines on AWS. * Background in high‑growth SaaS ...

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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 30, 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 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $142,306 per year, or $68.4 per hour.

AI Engineer

Salt Lake City, UT • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

Full-time

Re-posted 23 days ago

Job description

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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