MLOps Engineer jobs

Remote

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Today

Job Title: MLOps Engineer Location: 100% remote ( USA ) - EST Duration: 4 month contract ( potential for extension ) Visa : / L2/ / GC Need 12+ Years of experience Skillset : Kubernetes, AKS, Azure cloud, Azure DevOps, Databricks Nice to have : MLOps, ML Infrastructure deployments We are seeking for an experienced ( ML ) Machine Learning Operations Engineer and experience working with design, development & implementation of AI / ML applications & managing the lifecycle of Machine Learning

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Contract

$60 - $65

MLOps Engineer

South San Francisco, California

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14d ago

Job Title: MLOps EngineerLocation: South San Francisco, CA (Hybrid 3 days onsite/week)Type: Contract Job Description:We are looking for an experienced MLOps Engineer to support the development, deployment, and monitoring of machine learning models in a production environment. The ideal candidate will have strong experience with AWS services, ML pipelines, GenAI/LLM, and infrastructure automation. Key Responsibilities:Build, deploy, and manage ML models using AWS SageMaker, EC2, Lambda, and S3 De

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Contract

Depends on Experience

Senior MLOps Engineer

Hybrid in Jersey City, New Jersey

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4d ago

Job Title: Senior MLOps Engineer Location: Alpharetta, GA OR Berkeley Heights, NJ (Hybrid) Duration: Contract (12 to 18 months) Required Skills: 5+ years of experience in MLOps or ML infrastructure engineering Deep hands-on experience with AWS SageMaker and/or Databricks MLExpertise in designing and managing feature stores (e.g., SageMaker Feature Store, Databricks Feature Store)Experience deploying real-time ML models with stringent latency requirementsStrong understanding of model lifecycle ma

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Third Party, Contract

Depends on Experience

MLOps Engineer

Hybrid in Denver, Colorado

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23d ago

Position Overview The MLOps Engineer (Google Cloud Platform Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (Google Cloud Platform) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine learning systems are reliable, scalable, and optimized for Google Cloud Platform environments.

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Contract

Depends on Experience

MLOps Engineer

Dallas, Texas

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2d ago

Position: MLOps Engineer Dallas,TX Verizon Responsibilities: Architect and implement modern CI/CD pipelines to replace legacy build tools, with a focus on supporting Python-based AI/ML projects Develop and maintain Docker container build processes for creating, updating, and publishing base images Design and implement build stages for test coverage, coverage reporting, project packaging, and release management Integrate the new build system with existing software deployment processes for seamles

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Contract

$60+

SRE/MLOps Engineer

Remote

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Today

Job ID: 2508971 Location: REMOTE WORK, VA, US Date Posted: 2025-08-21 Category: Engineering and Sciences Subcategory: Solutions Archt Schedule: Full-time Shift: Day Job Travel: No Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: Yes Description We are seeking a versatile SRE/MLOps Engineer with DevSecOps expertise to design, automate, and operate secure, scalable, and repeatable model deployment workflows across the AI/ML

Full-time

USD 120,001.00 - 160,000.00 per year

Senior MLOps Engineer

Hybrid in Chantilly, Virginia

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Today

Job Number: R0223861 MLOps Engineer, Senior The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community (IC)? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That's why we need you,

Full-time

USD 99,000.00 - 225,000.00 per year

Senior MLOps Engineer

Hybrid in Chantilly, Virginia

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Today

Job Number: R0224040 MLOps Engineer, Senior The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will have a positive impact in the intelligence community ( IC ) ? What if you could find a position that is tailor made for your mix of development, engineering, and analytics? Efficient development teams make the most of their time by limiting the activities that take developers and data scientists away from writing their code. That's why we need yo

Full-time

USD 99,000.00 - 225,000.00 per year

MLOps Engineer

Woodlawn, Maryland

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Today

Please Note: This is a 100% Onsite Position Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week. Key Required Skills: Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services. Position Description: Ensure that ML models can be effectively developed, deployed, managed, and monitored in production environments. Productionize ML models ? integrate trained ML models with Production systems Build a

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Contract

Salary Range:$158040 - $168040 Without Benefits

MLOps Engineer

Hybrid in Irving, Texas

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4d ago

Position: MLOps Engineer Responsibilities: * Architect and implement modern CI/CD pipelines to replace legacy build tools, with a focus on supporting Python-based AI/ML projects * Develop and maintain Docker container build processes for creating, updating, and publishing base images * Design and implement build stages for test coverage, coverage reporting, project packaging, and release management * Integrate the new build system with existing software deployment processes for seamless AWS and

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Third Party, Contract

$50 - $60

MLOps Engineer

Woodlawn, Maryland

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2d ago

Key Required Skills: Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services. Position Description: Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments.Productionize ML models integrate trained ML models with Production systems.Build and manage ML pipelines design, build, and maintain automated pipelines including data ingestion, data preprocessing, model training

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Full-time, Third Party

$120,000+

MLOps Engineer

South San Francisco, California

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14d ago

Job Title: MLOps Engineer Location: South San Francisco, CA (Hybrid 3 days/week onsite) About the Role: We re seeking a seasoned Machine Learning Engineer (Operations) with deep expertise in AWS-native tools, machine learning pipelines, and production-level model deployment. You will be responsible for building and optimizing scalable, secure, and efficient ML systems in a hybrid environment, with a focus on automation, monitoring, and integration. ML Model Lifecycle: Build, train, deploy, and m

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Contract

$60+

MLOps Engineer

Woodlawn, Maryland

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2d ago

Position Opened Date 8/20/2025 Position ID Aug20-1 Position Title MLOps Engineer Vendor Notes Must be on-site five days a week in Woodlawn, MD Key Required Skills: Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services. Position Description: Ensure that ML models can be effectively developed, deployed, managed, and monitored in Production environments. Productionize ML models integrate trained ML models with Production s

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Contract, Third Party

Up to $75

MLops Engineer

Cupertino, California

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Today

Role-MLOps profiles Location-Cupertino, CA- Onsite Day 1 Duration :12+ Months Look for locals Skills- please share strong AIOps / MLOps profile for Apple at Cupertino

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Contract, Third Party

Depends on Experience

MLOps Engineer (Google Cloud Platform Specialization)

Denver, Colorado

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Today

Our client is looking for MLOps Engineer (Google Cloud Platform Specialization) for a long tern project in Remote, below is the detailed requirement. Job Title : MLOps Engineer (Google Cloud Platform Specialization) Location : Remote Duration : Long term Position Overview: The MLOps Engineer (Google Cloud Platform Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (Google Cloud Platform) to enable the seaml

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Third Party

MLOps Engineer

Remote

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16d ago

MLOps Engineer Location South San Franciso CA (Hybrid, 3 days/week) (Not remote) Strong understanding of machine learning concepts, algorithms, and best practices.Proven experience in creating, managing, and deploying ML models using core AWS services such as Amazon SageMaker (for model building, training, and deployment), EC2 (for compute instances), S3 (for data storage), and Lambda (for serverless functions).Experience with AWS Textract for document data extraction.Demonstrable experience in

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Full-time

Depends on Experience

MLOps Engineer

Remote

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Today

Basic Qualifications Education Requirements: Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position Key Responsibilities: Model Deployment: Deploy machine learning solutions into production in diverse environments, ensuring they operate correctly and efficiently.Automation: Use tools to au

Full-time

USD 148,764.00 - 165,035.00 per year

MLOps Engineer

Georgia

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Today

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellenc

Full-time

USD 125,370.00 per year

MLOps Engineer - Google Cloud Platform Specialization

Remote

•

Today

The MLOps Engineer (Google Cloud Platform Specialization) is responsible for designing, implementing, and maintaining infrastructure and processes on Google Cloud Platform (Google Cloud Platform) to enable the seamless development, deployment, and monitoring of machine learning models at scale. This role bridges data science and data engineering, Infrastructure, ensuring that machine learning systems are reliable, scalable, and optimized for Google Cloud Platform environments. Responsibilities:

Easy Apply

Contract

Depends on Experience

MLOps Engineer at Woodlawn, MD

Woodlawn, Maryland

•

Today

Role : MLOps Engineer Location : Woodlawn, MD We can use H1b visas, s and s, but ALL ID documentation (visa, passport, DL, etc.) cannot expire in the next 6 months. Interview process will likely be, phone screen, MS Teams Interview and very likely an in-person interview. Key Required Skills: Machine Learning, Python, NoSQL and Relational Databases, DevOps, CI/CD, and Cloud Platforms (AWS, Azure) and related ML services.Position Description: Ensure that ML models can be effectively developed, dep

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Third Party, Contract

Depends on Experience

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MLOps Engineer jobs