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Mlops Engineer Remote Jobs (NOW HIRING)

MILLENNIUMSOFT

MLOps Engineer - Remote

San Diego, CA · Remote

Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)PositionMLOps Engineer - Remote We\'re seeking an experienced MLOps Engineer to lead the operationalization of our ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

Qualysoft

Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...

TRM Labs, Inc.

Senior MLOps Engineer

Manhattan, NY · Remote

$115K - $158K/yr

... MLOps Engineer specializing in LLMOps will manage CI/CD workflows, automate model versioning, and ... remote environment. Key responsibilities Build reusable CI/CD workflows for model training ...

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$90 - $140/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Eliassen Group

Python MLOps Engineer

Honolulu, HI · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Boston, MA · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Annapolis, MD · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Dover, DE · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Boise, ID · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Santa Fe, NM · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Indianapolis, IN · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Pierre, SD · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Columbus, OH · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Eliassen Group

Python MLOps Engineer

Jackson, MS · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

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Mlops Engineer Remote information

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$38K

$115.9K

$191.5K

How much do mlops engineer remote jobs pay per year?

As of Jun 5, 2026, the average yearly pay for mlops engineer remote in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an MLOps Engineer (Remote), and why are they important?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.

What are some common challenges faced by remote MLOps Engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What does an MLOps Engineer do, especially in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

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What cities are hiring for Mlops Engineer Remote jobs? Cities with the most Mlops Engineer Remote job openings:
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Mlops Engineer Remote jobs near you
Infographic showing various Mlops Engineer Remote job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 4% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

MLOps Engineer - Remote

MILLENNIUMSOFT

San Diego, CA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

OverviewLocation: San Diego, CADuration: 10 MonthsTotal Hours/Week: 40Shift: 1st ShiftClient: Medical Devices CompanyJob Category: Technical/EngineeringLevel of Experience: Senior LevelEmployment Type: Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)PositionMLOps Engineer - RemoteJob DescriptionWe\'re seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you\'ll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads.Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally.This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery.ResponsibilitiesArchitect for scalable, cost-efficient, reliable and secure ML solutions.Design, implement and deploy ML solutions in AWS.Select and justify appropriate ML technology within AWS and identify appropriate AWS services to implement ML solutions.Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models.Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes.Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility.Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure optimal results.Automate repetitive tasks to improve efficiency and reduce the risk of human error in MLOps workflows.Maintain documentation and provide training to team members on MLOps best practices, ensuring knowledge sharing and collaboration within the team.Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain current and effective in your role.QualificationsBachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field.3+ years of experience in MLOps, DevOps, or related fields.Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus.Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn.Proficiency with CI/CD tools such as Github Actions.Hands-on experience with AWS.Familiarity with containerization and orchestration tools like Docker and Kubernetes.Knowledge of infrastructure-as-code tools such as AWS CDK and CloudFormation.Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.Excellent problem-solving skills and the ability to work independently as well as part of a team.Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.Preferred QualificationsAWS Certified Machine Learning - SpecialtyExperience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon.Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark.Knowledge of security best practices for machine learning systems.Experience with A/B testing and model performance monitoring.J-18808-Ljbffr

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