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Mlops Engineer Jobs in Utah (NOW HIRING)

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

NRG

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure * Databases: SQL, NoSQL, Vector, Time Series, Graph * Transformers, LLMs, Knowledge Graphs

New

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 ...

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 ...

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 ...

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 ...

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

$49.50 - $67.75/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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Showing results 1-20

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 Sep 4, 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.

Sr Software Engineer, AI Engineer

NRG

Lehi, UT • On-site

$115K - $151K/yr

Full-time

Posted 4 days ago

Key responsibilities

  • Lead the design and development of high-quality, scalable AI features and products.

  • Collaborate with cross-functional teams to deploy AI solutions to customers.

  • Create, test, and refine machine learning models, and develop data management pipelines.

Job description

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future.
Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.
About This Role
As an AI Engineer on the Camera AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications.
Your key responsibilities will encompass:
  • Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.
  • Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
  • Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
  • Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
  • Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.

Required Qualifications:
  • Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills AI/ML Experience:
  • Computer vision
  • Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
  • Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git

Preferred Qualifications:
  • Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
  • ML frameworks: TensorFlow, PyTorch
  • Data Engineering:
  • FiftyOne, CVAT, Vertex AI, Label Studio
  • Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
  • MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
  • Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
  • Databases: SQL, NoSQL, Vector, Time Series, Graph
  • Transformers, LLMs, Knowledge Graphs
  • Multimedia pipelines: GStreamer, ffmpeg, mediapipe
  • Edge computing, Embedded Systems, and IoT Devices
  • Model compression techniques
  • Image, Audio, Radar, Signal Processing
  • Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
  • Experience working with secure, scalable, high-availability, low latency, and distributed solutions
  • JIRA and Confluence proficiency

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.
EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)
Official description on file with Talent.
We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.
NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US

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