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Remote Mlops Jobs in Virginia (NOW HIRING)

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243273 Location: Arlington,VA,US Share job via: Share AI ... Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated ...

Showing results 41-45

Remote Mlops information

What is a remote mlops?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote mlops engineer?

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What are some common challenges faced by remote mlops engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

What are the most commonly searched types of Mlops jobs in Virginia?

The most popular types of Mlops jobs in Virginia are:

What job categories do people searching Remote Mlops jobs in Virginia look for?

The top searched job categories for Remote Mlops jobs in Virginia are:

What cities in Virginia are hiring for Remote Mlops jobs?

Cities in Virginia with the most Remote Mlops job openings:

Infographic showing various Remote Mlops job openings in Virginia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior DevOps Engineer - Remote USA

ICF

Reston, VA • Remote

$135K - $173K/yr

Full-time

Re-posted 12 days ago


Job description

The Company

ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.

Our Health Engineering Solutions team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned DevOps Engineer who will be a key driver to make this happen.

In this position, you will be part of the team building best in class health care reporting service. Learn and grow using AWS Infrastructure, DevSecOps, Agile Scrum, incremental delivery philosophy with highly supportive peers constantly sharing subject matter expertise.

Our core work hours are 9am - 5pm Eastern Time with the option to start earlier or work later depending on your time zone.

Responsibilities:

  • Implement best in class cloud-based solutions in AWS using infrastructure as code
  • Deploy, setup, and run infrastructure configurations for various AWS services, utilizing Infrastructure as Code such as Terraform
  • Engage with technical stakeholders including but not limited to application development, networking, infrastructure, information security, risk, enterprise identity and access management, and security operations
  • Enable and optimize the automation of application and infrastructure environments
  • Be part of a team where you collaborate to build cloud infrastructure, with an understanding of AMI, Containers and serverless functions
  • Develop, maintain and improve continuousintegration/continuousdelivery (CI/CD) pipelines for delivering features, fixes and system updates in development, integration and production environments.
  • Set up, integrate, and maintain a scalable, stable set of CI/CD tools to support development, testing, and security scanning.
  • Implement Amazon CloudWatch, Splunk and other third party monitoring solutions to provide continuous monitoring capabilities, track all aspects of the system, infrastructure, performance, application errors and roll up metrics.
  • Analyze functional and non-functional business requirements, translate them into technical operational requirements, and propose CI/CD pipelines with tools and plugins.
  • Making a big impact as part of a small team that's pushing boundaries

Professional Skills:

  • Outstanding writing and verbal communication abilities
  • Meticulous attention to detail

Minimum Requirements:

  • Bachelor's degree
  • 3+ years of experience in setting up CI/CD Pipelines with integration with open-source plugins.
  • 3+ years of experience in DevOps/Agile/Scrum environments and development.
  • 5+ years of strong hands-on experience with configuration management, cloud orchestration and automation tools with AWS environments.
  • 5+ years of experience with provisioning and managing infrastructure as well as applications in AWS cloud environments.
  • 2+ years of experience with identifying and implementing automation for ContinuousIntegration/ContinuousDeployment.
  • 5+ years of experience writing infrastructure as code using Terraform
  • Ability to obtain and maintain a Federal Public Trust clearance.
  • Must reside in the United States, be authorized to work in the United States, and perform all work within the United States.
  • Must have lived in the United States for at least three (3) of the last five (5) years.

Preferred:

  • Experience with Java software development
  • Experience with Datadog
  • Working knowledge of Linux
  • Design and implement automated monitoring capabilities to generate dashboards with trends, useful messages, and immediate notifications, and provide real-time metrics using Splunk or similar services.
  • Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit Gateways
  • Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learning
  • AWS Solution Architect (Associate or Pro) certification.
  • Familiar with standard concepts, practices, and procedures such as NIST, FISMA, FedRamp and Common Criteria regulations and standards.
  • Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. You don't need to be an expert in all these.

Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections.

  • Must be able to travel approximately 5%

#DMX-HES


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$108,476.00 - $184,409.00Nationwide Remote Office (US99)