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Machine Learning Engineer Mlops Engineer Jobs in Phoenix, AZ

Machine Learning Engineer

Phoenix, AZ ยท On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Required ... Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS ...

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Showing results 1-20

Machine Learning Engineer Mlops Engineer information

See Phoenix, AZ salary details

$31.3K

$127.9K

$192.1K

How much do machine learning engineer mlops engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer mlops engineer in Phoenix, AZ is $127,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Mlops Engineer vs Data Scientist?

AspectMachine Learning Engineer Mlops EngineerData Scientist
Primary FocusDeveloping, deploying, and maintaining ML models and MLOps pipelinesAnalyzing data, building models, and deriving insights
Skills & CertificationsMachine learning, software engineering, cloud platforms, MLOps toolsStatistics, data analysis, programming (Python/R), visualization
Work EnvironmentSoftware development teams, cloud infrastructure, production environmentsResearch teams, data analysis projects, exploratory data analysis
Industry UsageTech companies, startups, enterprises deploying ML solutionsResearch institutions, analytics firms, data-driven organizations

While both roles involve working with machine learning, Machine Learning Engineers and MLOps Engineers focus on deploying and maintaining scalable ML systems, whereas Data Scientists primarily analyze data and develop models for insights. MLOps Engineers often work closely with Machine Learning Engineers to ensure models are production-ready and reliable.

Urgent C2C role MLOPS Engineer in Scottsdale AZ (Onsite)

Scottsdale, AZ โ€ข On-site

Other

Posted 23 days ago


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
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