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Artificial Intelligence Machine Learning Remote Jobs in Washington, DC

SAIC

AI Machine Learning Developer Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_HYBRID Description We are seeking to build a team of AI/ML ... cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs ...

New

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_HYBRID Description We are seeking to build a team of AI/ML ... cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs ...

New

IQT

Technology Architect - AI

Mclean, VA · On-site +1

Demonstrated expertise in artificial intelligence or machine learning. * Previous experience negotiating milestone-based Statements of Work contracts. Preferred Qualifications * Demonstrated ...

PMAT

PMAT Internship Opportunities

Washington, DC · Remote

$26/hr

Artificial Intelligence & Machine Learning * Business Development * Capture & Proposal Management ... Remote opportunities are dependent on project requirements and security requirements. Work ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA / Chantilly, VA (Hybrid / Flexible Remote options available) Responsibilities * Prototype to Production: Support the full machine learning lifecycle, taking computer vision models from ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Active TS ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Artificial Intelligence Machine Learning Remote information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do artificial intelligence machine learning remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning remote in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are artificial intelligence machine learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are some typical challenges faced by remote artificial intelligence machine learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.

Is artificial intelligence machine learning a good career?

Artificial intelligence and machine learning are rapidly growing fields with high demand for skilled professionals. Careers in these areas often require knowledge of programming, data analysis, and algorithms, and can offer competitive salaries and remote work opportunities. The field is suitable for individuals interested in technology, problem-solving, and continuous learning.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Washington, DC?

The most popular types of Artificial Intelligence Machine Learning jobs in Washington, DC are:

What are popular job titles related to Artificial Intelligence Machine Learning Remote jobs in Washington, DC?

For Artificial Intelligence Machine Learning Remote jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Remote jobs in Washington, DC look for?

The top searched job categories for Artificial Intelligence Machine Learning Remote jobs in Washington, DC are:

Artificial Intelligence Machine Learning Remote jobs near you
Infographic showing various Artificial Intelligence Machine Learning Remote job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

AI Machine Learning Developer Principal

SAIC

Chantilly, VA • On-site, Remote

$160K - $200K/yr

Full-time

Posted 2 days ago

New

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

Job ID: 2616563

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 to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.

This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or NOVA. Candidates must have an active TS/SCI clearance. 

1. Rapid PoC & Demo Prototyping (40%)

  • Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
  • Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

  • Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
  • Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

  • Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
  • Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

  • Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master’s degree with 7 years of relevant experience.
  • Candidates must be U.S. Citizens
  • Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
  • Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures)
  • Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications

  • Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
  • Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
  • 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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