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Mlops Engineer Jobs in Arizona (NOW HIRING)

SecondTalent

LLMOps Engineer

Phoenix, AZ · On-site

$160 - $230/hr

MLOps engineers train and deploy custom models. LLMOps engineers operate systems built on top of third-party model APIs, where the model is opaque, where prompts are the primary code surface, and ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire ... Design and implement scalable MLOps supportive data pipelines for data ingestion processing and ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes * Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

MLOps & Production Engineering * Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights & Biases), versioning, and deployment. * Containerize and deploy ML ...

Entertainment Partners

AI Engineer

Tempe, AZ

MLOps & Production Engineering * Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights & Biases), versioning, and deployment. * Containerize and deploy ML ...

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Mlops Engineer information

See Arizona salary details

$97.6K

$153.1K

$177.7K

How much do mlops engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mlops engineer in Arizona is $153,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,088.00 and $165,049.00 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 Arizona?

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

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

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

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

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

What cities in Arizona are hiring for Mlops Engineer jobs?

Cities in Arizona with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $153,133 per year, or $73.6 per hour.

MLOPS Engineer

Scottsdale, AZ • On-site

Alltech Consulting Services, Inc.
IT Services • 201 - 500 employees
Learn more about Alltech Consulting Services, Inc.external

Other

This job post has expired 6 days ago. Applications are no longer accepted.

Job description

Role : MLOPS Engineer

Location : Scottsdale AZ (Onsite)

We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance.

Key Responsibilities

  • Design and implement end-to-end ML pipelines from data ingestion to model deployment
  • Build and manage CI/CD pipelines for ML models (training, testing, deployment)
  • Automate model monitoring, retraining, and performance optimization
  • Collaborate with Data Scientists and Data Engineers for productionizing ML models
  • Ensure scalability, reliability, and security of ML systems
  • Manage model versioning, experiment tracking, and lifecycle management
  • Implement best practices for governance, compliance, and reproducibility

Key Skills & Expertise

  • Strong programming skills in Python
  • Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML
  • Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI
  • Experience with cloud platforms: AWS
  • Strong understanding of data pipelines, ETL processes, and distributed systems

Apply