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Remote Mlops Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

SAIC

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly skilled AI/ML ... Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. * Strong ...

NT Concepts

Software Engineer

Vienna, VA · On-site +1

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... Experience with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. * Strong ...

ManTech

AI/ML Engineer Specialist

Arlington, VA · On-site +1

$208K - $381K/yr

Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow. * Expertise ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

RevStar

Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... and MLOps workflows * Design Generative AI architectures using AWS services such as Bedrock ...

Edgesource

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 ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0243552 Location: Arlington,VA,US Share job via: Share AI ... Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated ...

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Remote Mlops information

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 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.

Is remote MLOps in high demand?

Remote MLOps roles are in high demand due to the increasing adoption of machine learning and AI across industries. Employers seek professionals skilled in cloud platforms, automation, and tools like Docker and Kubernetes to manage and deploy ML models efficiently in remote environments.

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 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 are the most commonly searched types of Mlops jobs in Virginia? The most popular types of Mlops jobs in Virginia are:
What are popular job titles related to Remote Mlops jobs in Virginia? For Remote Mlops jobs in Virginia, the most frequently searched job titles 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:
Remote Mlops jobs near you
Infographic showing various Remote Mlops job openings in Virginia as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution.

Data Manager, Senior

Booz Allen Hamilton, Inc.

Alexandria, VA • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0243922
Location:
Alexandria,VA,US
Share job via:
Share
Data Manager, Senior
The Opportunity:
Manages all aspects of product engineering activities including hardware, software, automation, and IT. Applies advanced advisory skills or extensive technical expertise with full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.
Join us. The world can't wait.
You Have:
  • Experience with people management
  • Experience with technical project management, independently initiating and driving projects to completion, and solving strategic problems
  • Experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
  • Experience with data manipulation, extract, transform, and load procedures
  • Experience managing databases and data pipelines and working with cloud architectures
  • Experience working with large, complex geospatial data files and formats
  • Knowledge of database technologies
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • HS diploma or GED and 10+ years of experience with technical project management, Bachelor's degree and 7+ years of experience with technical project management, or Master's degree and 5+ years of experience with technical project management

Nice If You Have:
  • Experience using Agile and SAFe methodologies
  • Experience with enterprise technology systems, such as CORE and MLOps
  • Experience working with AI/ML technologies applied to geospatial data
  • Possession of excellent communication and keen problem-solving skills
  • GEOINT Professional - Fundamentals (F) Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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What Booz Allen Hamilton employees say

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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