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Manager Mlops Engineer Jobs in Addison, TX (NOW HIRING)

DPR Construction

MLOps Engineer

Dallas, TX

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 ...

USM

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 ...

AgileEngine

MLOps Engineer ID72409

Addison, TX · On-site

... versioning, while managing cloud environments and GPU compute resources for cost-effective ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

AgileEngine

MLOps Engineer ID72409

Lewisville, TX · On-site

... versioning, while managing cloud environments and GPU compute resources for cost-effective ... in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ; - Degree in ...

B12 Consulting

MLOps

Plano, TX · On-site

... manager is looking to onboard MLOpsPlatform Engineer (Sagemaker) who is expert in Sagemaker (key skillset) and AWS. · Local candidates preferred, 12 months contract with extension, Onsite role. · ...

IVID TEK INC

MLOps Platform Engineer (SageMaker)

Plano, TX · On-site

$90 - $95/hr

MLOps Platform Engineer (SageMaker) Duration : 12 months with extension Location: Onsite in Plano ... Manage SageMaker Model Registry -- cross-account model promotion, versioning, immutability, and ...

Huntington

MLOps Automation Senior Lead Engineer

Dallas, TX · On-site +1

$102K - $135K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Build automated testing solutions in support of quality management objectives to reduce manual ...

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Manager Mlops Engineer information

See Addison, TX salary details

$12

$54

$78

How much do manager mlops engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for manager mlops engineer in Addison, TX is $54.20, according to ZipRecruiter salary data. Most workers in this role earn between $38.85 and $72.12 per hour, depending on experience, location, and employer.

What is the difference between Manager Mlops Engineer vs Data Scientist?

AspectManager Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with MLOps toolsDegree in Data Science, Statistics, or related; proficiency in programming and analytics
Work EnvironmentCollaborates with engineering and operations teams to deploy ML modelsAnalyzes data, builds models, and interprets results for business insights
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsCommon 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.

What are popular job titles related to Manager Mlops Engineer jobs in Addison, TX?

For Manager Mlops Engineer jobs in Addison, TX, the most frequently searched job titles are:

What cities near Addison, TX are hiring for Manager Mlops Engineer jobs?

Cities near Addison, TX with the most Manager Mlops Engineer job openings:

Manager Mlops Engineer jobs near you
Infographic showing various Manager Mlops Engineer job openings in Addison, TX as of June 2026, with employment types broken down into 2% Internship, 49% Full Time, 8% Part Time, 38% Contract, and 3% Nights. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $112,743 per year, or $54.2 per hour.

MLOps Engineer

DPR Construction

Dallas, TX

Full-time

Re-posted 16 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

18th 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.

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.

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