MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
Prinicipal MlOps Engineer
Sunnyvale, CA · On-site
Optimize and manage cloud-based ML workloads using AWS, GCP, or Azure, ensuring cost-eJiciency and scalability. * Lead and mentor a team of MLOps engineers, collaborating closely with data scientists ...
Prinicipal MlOps Engineer
Sunnyvale, CA · On-site
Optimize and manage cloud-based ML workloads using AWS, GCP, or Azure, ensuring cost-eJiciency and scalability. * Lead and mentor a team of MLOps engineers, collaborating closely with data scientists ...
MLOps Engineer
Reston, VA · On-site
They are seeking an experienced MLOps Engineer to join their Data and AI team, focusing on ... and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Reston, VA · On-site
They are seeking an experienced MLOps Engineer to join their Data and AI team, focusing on ... and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
Mlops Engineer
Tampa, FL · On-site
Manage and allocate resources effectively, including computer power and storage for model inference. * Develop practices and utilize tools for data validation, model testing, and versioning.
Mlops Engineer
Tampa, FL · On-site
Manage and allocate resources effectively, including computer power and storage for model inference. * Develop practices and utilize tools for data validation, model testing, and versioning.
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...
MLOps Engineer
Orlando, FL · On-site
... and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ... technical point of contact for DevOps and MLOps practices, developing reusable patterns ...
MLOps Engineer
Orlando, FL · On-site
... and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ... technical point of contact for DevOps and MLOps practices, developing reusable patterns ...
JB061761 - MLOps Engineer
Grapevine, TX · On-site
$80/hr
MLOps Engineer Duration: 6 months+, possible extension Rate: $80/hr+, depending on experience ... management Data & Cloud Ecosystem Experience with: GCP (preferred), Azure, or hybrid environment ...
JB061761 - MLOps Engineer
Grapevine, TX · On-site
$80/hr
MLOps Engineer Duration: 6 months+, possible extension Rate: $80/hr+, depending on experience ... management Data & Cloud Ecosystem Experience with: GCP (preferred), Azure, or hybrid environment ...
MLOps Engineer
Mclean, VA · On-site
$113K - $188K/yr
As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and ... Develop and manage model versioning, artifact management, and experiment tracking * Implement ...
MLOps Engineer
Mclean, VA · On-site
$113K - $188K/yr
As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and ... Develop and manage model versioning, artifact management, and experiment tracking * Implement ...
MLOps Engineer
Milpitas, CA · On-site
Model deployment, monitoring, and lifecycle management * Kubernetes, Docker, Infrastructure as Code ... Standardize MLOps and LLMOps workflows across teams * Build and optimize CI/CD pipelines for ML and ...
MLOps Engineer
Milpitas, CA · On-site
Model deployment, monitoring, and lifecycle management * Kubernetes, Docker, Infrastructure as Code ... Standardize MLOps and LLMOps workflows across teams * Build and optimize CI/CD pipelines for ML and ...
MLOps Engineer
Dearborn, MI · On-site
Stefanini is looking for a MLOps Engineer (Dearborn, MI) For quick apply, please reach out to ... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ...
MLOps Engineer
Dearborn, MI · On-site
Stefanini is looking for a MLOps Engineer (Dearborn, MI) For quick apply, please reach out to ... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ...
MLOps Engineer ID72409
Dallas, TX · On-site
... system reliability; • Manage experiment tracking and model versioning to ensure full ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering • Degree in ...
MLOps Engineer ID72409
Dallas, TX · On-site
... system reliability; • Manage experiment tracking and model versioning to ensure full ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering • Degree in ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...
Java MLOps Engineer (Spring + ML Pipelines) - Q125
Alpharetta, GA · On-site
$50.50 - $69.25/hr
Java MLOps Engineer (Spring + ML Pipelines) Location: Alpharetta, GA (willing to travel to client ... Implement and manage end-to-end ML pipelines for model training, validation, and deployment using ...
Java MLOps Engineer (Spring + ML Pipelines) - Q125
Alpharetta, GA · On-site
$50.50 - $69.25/hr
Java MLOps Engineer (Spring + ML Pipelines) Location: Alpharetta, GA (willing to travel to client ... Implement and manage end-to-end ML pipelines for model training, validation, and deployment using ...
MLOps Engineer
San Francisco, CA · On-site
MLOps Engineer Location: San Francisco, California Duration: Long Term Contract Key ... Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and ...
Quick apply
MLOps Engineer
San Francisco, CA · On-site
MLOps Engineer Location: San Francisco, California Duration: Long Term Contract Key ... Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and ...
DevOps/MLOps Engineer
Cumming, GA · On-site
$47 - $64.50/hr
Our Fintech client is looking for an experienced DevOps / MLOps Engineer to help build and manage cloud infrastructure, deployment pipelines, and operational systems supporting AI-driven platform ...
Quick apply
DevOps/MLOps Engineer
Cumming, GA · On-site
$47 - $64.50/hr
Our Fintech client is looking for an experienced DevOps / MLOps Engineer to help build and manage cloud infrastructure, deployment pipelines, and operational systems supporting AI-driven platform ...
Manager Mlops Engineer information
See salary details
$12.98 - $19.14
2% of jobs
$19.14 - $25.31
6% of jobs
$25.31 - $31.47
10% of jobs
$31.47 - $37.63
6% of jobs
$38.66 is the 25th percentile. Wages below this are outliers.
$37.63 - $43.79
3% of jobs
$43.79 - $49.96
6% of jobs
$49.96 - $56.12
9% of jobs
The median wage is $60.04 / hr.
$56.12 - $62.28
12% of jobs
$62.28 - $68.44
12% of jobs
$72.47 is the 75th percentile. Wages above this are outliers.
$68.44 - $74.61
14% of jobs
$74.61 - $80.77
20% of jobs
$12
$55
$80
How much do manager mlops engineer jobs pay per hour?
As of Jul 21, 2026, the average hourly pay for manager mlops engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.
What is the difference between Manager Mlops Engineer vs Data Scientist?
| Aspect | Manager Mlops Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, Engineering, or related; experience with MLOps tools | Degree in Data Science, Statistics, or related; proficiency in programming and analytics |
| Work Environment | Collaborates with engineering and operations teams to deploy ML models | Analyzes data, builds models, and interprets results for business insights |
| Industry Usage | Used in tech, finance, healthcare for deploying ML solutions | Common across tech, marketing, research for data analysis and modeling |
The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.
More about Manager Mlops Engineer jobs
What cities are hiring for Manager Mlops Engineer jobs? Cities with the most Manager Mlops Engineer job openings:
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
What states have the most Manager Mlops Engineer jobs? States with the most job openings for Manager Mlops Engineer jobs include:
What job categories do people searching Manager Mlops Engineer jobs look for? The top searched job categories for Manager Mlops Engineer jobs are:
DPR Construction rating
8.0
Based on 37 frontline employees who took The Breakroom Quiz
20th of 80 rated construction
Job description
Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.
MLOps Engineer
DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering.
Position Overview
TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely with data engineers, software developers, data scientists and product teams.
Responsibilities
Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning
Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection
Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms
Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster provisioning and governance
Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows
Implement AI-driven data validation, schema drift detection, and metadata management.
Establish governance frameworks for AI systems, including bias detection, explainability, and auditability
Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention
Collaborate withInfrastructureEngineering toautomate infrastructure provisioning
Act as a technical point of contact forDevOps andMLOps practices,developing reusable patterns, documentation, and proof-of-concepts to drive adoption
Qualifications
Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field
5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering
Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure
Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn
Required Skills
Experience with CI/CD processes and automation
Experience withInfrastructure as Codetoolssuch as Terraform,Bicep
Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus
Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring
Experiencedeploying production-ready machine learning models
Experience withModel explainability (SHAP, LIME)or similar
Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).
Nice to Have
Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry, Azure Monitor
Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines
Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases
Proficiency with Snowflake
Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.
DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.
Explore our open opportunities atwww.dpr.com/careers.
What DPR Construction employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About DPR Construction
Sourced by ZipRecruiter
Industry
Construction
Company size
10,000+ Employees
Headquarters location
Redwood City, CA, US
Year founded
1990