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Mlops Engineer Remote Jobs in Reston, VA (NOW HIRING)

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Collaborate with engineering, cloud architecture, and DevOps teams to identify and implement cost ... Establish and enforce AI development best practices, including MLOps, version control ...

kgs

FinOps Specialist (REMOTE)

Washington, DC · Remote

Collaborate with engineering, cloud architecture, and DevOps teams to identify and implement cost ... Establish and enforce AI development best practices, including MLOps, version control ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Proficiency with MLOps practices including experiment tracking, model versioning, and deployment

VivSoft Technologies

Senior Proposal Manager

Herndon, VA · Remote

$135K - $140K/yr

We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and ... MLOps. With remote work flexibility and a focus on innovation, you'll thrive in a role where your ...

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 ... As an experienced AI engineer, you know that AI systems are critical to understanding and ...

Booz Allen Hamilton, Inc.

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 ... As an experienced AI engineer, you know that AI systems are critical to understanding and ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246463 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Perform exploratory data analysis, feature engineering, and preprocessing to improve model ...

HiddenLayer

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

AI Solutions Architect- Federal Location- Remote (US), DC Metro Area Preferred Clearance- Active ... WHO YOU ARE: * 5+ years in solutions architecture, solutions engineering, applied AI engineering ...

Guidehouse

AI/ML Operationalization Specialist

Mclean, VA · On-site +1

$98K - $163K/yr

You will work across both on site and remote environments to ensure the reliable deployment of ML ... Collaborate with data scientists, engineers, and mission stakeholders to ensure models meet ...

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All JobsMlops Engineer JobsMlops Engineer Remote JobsMlops Engineer Remote Jobs in Reston, VA

Mlops Engineer Remote information

See Reston, VA salary details

$39.5K

$120.5K

$199.2K

How much do mlops engineer remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for mlops engineer remote in Reston, VA is $120,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $157,600.00 per year, depending on experience, location, and employer.

What does an MLOps engineer do 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 are 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 are the key skills and qualifications needed to thrive as a remote MLOps engineer?

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 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.

What are the most commonly searched types of Mlops Engineer jobs in Reston, VA?

The most popular types of Mlops Engineer jobs in Reston, VA are:

What are popular job titles related to Mlops Engineer Remote jobs in Reston, VA?

For Mlops Engineer Remote jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer Remote jobs in Reston, VA look for?

The top searched job categories for Mlops Engineer Remote jobs in Reston, VA are:

What cities near Reston, VA are hiring for Mlops Engineer Remote jobs?

Cities near Reston, VA with the most Mlops Engineer Remote job openings:

Mlops Engineer Remote jobs near you
Infographic showing various Mlops Engineer Remote job openings in Reston, VA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $120,540 per year, or $58 per hour.

Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States)

International Consulting Associates, Inc.

Arlington, VA • On-site, Remote

$170K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

About ICA, Inc.
ICA, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!
We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.
At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.
We are looking for a Principal AWS Data Platform & ML Ops Architectto join our growing team!
ABOUT THE ROLE:
We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.
Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.
KEY RESPONSIBILITIES:
Architect and Build the Shared Platform
  • Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
  • Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
  • Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
  • Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
  • Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
  • Determine which capabilities should become shared platform services and which should remain project-specific.

Define the Data and MLOps Architecture
  • Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
  • Define onboarding standards for new data products, models, search applications, and AI-enabled services.
  • Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.

Provide Technical Design Authority
  • Lead architecture and design reviews before significant development begins.
  • Establish reference architectures, approved patterns, architecture decision records, and engineering standards.
  • Require teams to use shared platform capabilities where appropriate and evaluate justified exceptions.
  • Ensure platform designs meet performance, scalability, reliability, security, auditability, disaster-recovery, and cost requirements.
  • Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
  • Partner with product and engineering leaders on a cross-project platform roadmap.

REQUIRED QUALIFICATIONS:
  • Extensive experience designing and building enterprise data platforms or AI/ML platforms on AWS.
  • Demonstrated experience creating shared platform capabilities adopted by multiple products, projects, or business units.
  • Experience consolidating separate production data systems through incremental migration and adoption.
  • Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch
  • Strong experience with data engineering, distributed systems, event-driven architecture, APIs, data modeling, metadata, lineage, governance, and access control.
  • Strong MLOps architecture experience, including model deployment, serving, registries, monitoring, drift detection, and retraining workflows.
  • Experience designing search, vector retrieval, embedding, or RAG data foundations.
  • Experience with infrastructure as code using AWS CDK, Terraform, or CloudFormation.
  • Experience with multi-account AWS environments, private networking, and AWS Well-Architected principles.
  • Ability and willingness to write production code and build initial critical platform components.
  • Experience influencing senior engineers and enforcing architecture decisions across teams without direct management authority.
  • Strong technical communication and decision-making skills.
  • Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
  • Must be able and willing to obtain a Public Trust Clearance

PREFERRED QUALIFICATIONS:
  • Active AWS Certifications (Solutions Architect, Data Engineer or Machine Learning)
  • Experience with document intelligence, OCR, multimodal search, data lake or lakehouse platforms, or generative AI systems.
  • Experience with Amazon Textract, Amazon Bedrock, SageMaker, OpenSearch vector capabilities, or AWS Lake Formation.
  • Experience working with regulated, sensitive, or access-controlled data.
  • Familiarity with audit, data provenance, evidence retention, tenant isolation, and model-governance requirements.
  • Experience establishing shared platform practices in consulting, professional-services, or multi-client environments.
  • Experience with AWS Organizations, Control Tower, disaster recovery, and cloud cost optimization.

USE OF AI ASSITIVE TECHNOLOGY:
All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.
  • Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans
  • Dental Insurance
  • Vision insurance
  • Health Spending Account
  • Flexible Spending Account
  • Life and Disability insurance
  • 401(k) plan with company match
  • Paid Time Off (Vacation, Sick Leave and Holidays)
  • Education and Professional Development Assistance
  • Remote work from anywhere within the continental United States

LOCATION & TELEWORK
This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.
ADDITIONAL INFORMATION:
ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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