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Mlops Engineer Remote Jobs (NOW HIRING)

DevOps/MLOps Engineer

Ashburn, VA ยท On-site +1

$54 - $74/hr

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... MLOps Engineer to join our team in support of our work with a federal client. This role is ...

DevOps/MLOps Engineer

Ashburn, VA ยท On-site +1

$54 - $74/hr

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... MLOps Engineer to join our team in support of our work with a federal client.This role is ...

MLOps Engineer

$40 - $60/hr

Remote (working in CST hours) Project Details: Own the end-to-end lifecycle of production ML ... Must Have Skills: * 4+ years of MLOps/ML platform or DevOps for data/ML systems * Hands on GCP ...

... in data engineering, ML engineering, or MLOps roles * Strong Python skills with production ... Experience with satellite imagery, remote sensing, or environmental data What You'll Demonstrate

MLOps Engineer

New York, NY ยท On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

Python MLOps Engineer

Almont, CO ยท On-site +1

$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 ...

MLOps Expert - AI Trainer

Chicago, IL ยท Remote

$90 - $140/hr

MLOps Engineer Expert Type: Contract Compensation: $90-$140/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and ...

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How much do mlops engineer remote jobs pay per year?

As of Jun 4, 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.

More about Mlops Engineer Remote jobs
What cities are hiring for Mlops Engineer Remote jobs? Cities with the most Mlops Engineer Remote 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 Mlops Engineer Remote jobs? States with the most job openings for Mlops Engineer Remote jobs include:
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.
Associate MLOps Engineer

Associate MLOps Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN โ€ข On-site, Remote

Full-time

Posted 7 days ago


Job description

BlueCross BlueShield of Tennessee is looking for an Associate MLOps Engineer to support data science teams in building, deploying, and operating machine learning solutions at scale. This is a hands-on, individual contributor role focused on technical execution, continuous learning, and collaboration. You will work closely with data scientists and engineers in a modern production environment, with mentorship from experienced MLOps professionals.

What You'll Bring:

  • Experience usingPython for scripting, data processing, or supporting machine learning workflows

  • Experience working with acloud-based platform (e.g., AWS, Azure, or GCP) to develop, deploy, or support data or machine learning solutions

  • Exposure toCI/CD practices, including Git-based workflows, automated testing, builds, and deployments

  • Understanding of themachine learning lifecycle, including experimentation, model versioning, and reproducibility (e.g., MLflow or similar tools)

  • Foundational knowledge ofdata engineering concepts, such as data ingestion, transformation, validation, and storage

  • Experience contributing to simplefull-stack applications, including:

    • Python-based backend APIs

    • Basic front-end views or dashboards to display data or model outputs

  • Willingness to follow established patterns and best practices to help move ML solutions from prototype to production

Nice to Have

  • Familiarity withOpenShift or Kubernetes, and working with containerized applications

  • Experience building or maintaininginfrastructure-as-code using Terraform (e.g., defining resources and managing environments)

  • Exposure toDatabricks for data engineering, analytics, or machine learning workflows

Why Join Us?

This fully-remote role is ideal for someone who enjoys hands-on technical work, is eager to develop modern MLOps practices, and wants to contribute to real-world production systems. You'll be joining a tax-paying not-for-profit organization and your work will directly contribute to our mission- peace of mind through better health.

Note

  • Final interviews onsite at our Chattanooga, TN headquarters are required for this role.

  • Sponsorship is not available for this role.

Job Duties & Responsibilities

  • Model Deployment: Ensuring that machine learning models are deployed efficiently and reliably into production environments.
  • Model Monitoring: Continuously monitoring the performance of models to detect issues like model drift and ensure they remain accurate and effective.
  • Automation: Automating the machine learning pipeline, including tasks like data preprocessing, model training, and evaluation.
  • Collaboration: Working closely with data scientists, software engineers, and IT operations to integrate machine learning models into business processes.
  • Version Control and Governance: Managing version control for models and ensuring compliance with governance policies.
  • Optimization: Identifying and implementing ways to improve the performance and scalability of ML systems Responsibility
  • Exploring cloud tools and technologies that assist data science with implementing their usecases.

Job Qualifications

Education

Bachelor's degree in computer science or equivalent work experience required. Equivalent experience is defined as 4 years of professional work experience in a corporate environment.

Experiences

2 years - Experience in software engineering and analytics technology (academic experience included)

Experience handling large datasets to build data pipelines.

Experience writing SQL and using Data Visualization tools.

Experience solving complex problems and independently developing solutions.

Skills/Certifications

Programming: Demonstrated proficiency in languages like Python or similar languages

Data Engineering: Strong understanding of data processing and storage solutions.

Problem-Solving: Ability to troubleshoot issues in ML models and infrastructure.

Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability.

Excellent oral and written communication skills

Strong interpersonal and organizational skills

Number of Openings Available

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.