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Remote Machine Learning Jobs in Fairfax, VA (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Sparibis

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Fairfax, VA

Remote Machine Learning information

See Fairfax, VA salary details

$26.1K

$43.5K

$90K

How much do remote machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote machine learning in Fairfax, VA is $43,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Fairfax, VA?

The most popular types of Machine Learning jobs in Fairfax, VA are:

What are popular job titles related to Remote Machine Learning jobs in Fairfax, VA?

For Remote Machine Learning jobs in Fairfax, VA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Fairfax, VA look for?

The top searched job categories for Remote Machine Learning jobs in Fairfax, VA are:

What cities near Fairfax, VA are hiring for Remote Machine Learning jobs?

Cities near Fairfax, VA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $43,527 per year, or $20.9 per hour.

AI Machine Learning Technical Project Manager

Chantilly, VA • On-site, Remote

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Full-time

Posted 7 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Job ID: 2616566

Location: Chantilly, VA, US

Date Posted: 2026-09-04

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

We are seeking an experienced and mission-focused Technical Program Manager (PM) to lead, coordinate, and accelerate the delivery of cutting-edge AI/ML and secure cloud concepts and solutions across several key IC programs. This is a Hybrid role and are open to candidates in Chantilly VA or NOVA.  Candidates must have an active TS/SCI Clearance. Your primary mission is twofold:

  1. Programmatic Execution: Serve as the primary programmatic liaison and task manager interfacing with the various external program teams that our matrixed team supports. Your mission is to collect incoming program requests, manage intermixed timelines, and coordinate deliverables for execution and business growth.
  2. Accreditation Leadership: Drive the Risk Management Framework (RMF) and Authority to Operate (ATO) processes to transition AI/ML prototypes into operational high-side environments.

1. Inter-Program Liaison & Task Management (40%)

  • Act as the Central Interface: Serve as the primary point of contact for the various program leads we support. Build strong relationships with these stakeholders to understand their unique deliverables, timelines, and technical expectations.
  • Triage & Manage the Backlog: Gather, organize, and prioritize task requests from different programs into a single, cohesive team backlog. Coordinate schedules to prevent conflicts and ensure realistic milestones.

2. Security Compliance & Accreditation Coordination (30%)

  • Guide the ATO Process: Partner with our security stakeholders to navigate the Risk Management Framework (RMF / ICD 503) and compile the necessary documentation (such as System Security Plans) to get our software accredited. 
  • Act as Compliance Liaison: Support interfacing with Government Security Officers (ISSOs/ISSMs), translating technical features into compliance solutions as necessary. 
  • Secure Developer Environments: Work hand-in-hand with internal Corporate IT, facilities, and security groups to set up, upgrade, and maintain the secure workspaces, labs, and closed areas our team needs.
  • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models. 
  • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

3. Developer Support (30%)

  • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models. 
  • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 14 years of experience or master’s degree with 12 years of experience.
  • Candidates must be U.S. Citizens.
  • Active TS/SCI Clearance.
  • Task Coordination & Liaison Skills: 3+ years of experience coordinating tasks, managing backlogs, or acting as a liaison between teams in a technical setting (e.g., IT, software, or engineering environments).
  • Familiarity with Government Accreditation Process: Basic understanding or working familiarity with secure systems, security plans, or the accreditation process (RMF/ATO) in government environments.
  • AI/ML Architect: Practical experience writing basic Python code and providing support to architect/whiteboard solutions for complex problems.

Preferred Qualifications

  • Experience deploying systems in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with IC missions.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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