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Remote Machine Learning Jobs in Washington (NOW HIRING)

Engineer 6, Machine Learning, Data & AI

Reston, VA ยท On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Engineer 6, Machine Learning, Data & AI

Washington, DC ยท On-site +1

$129K - $155K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

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 ...

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 ...

Data Scientist (Remote)

Washington, DC ยท On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Data Scientist (Remote)

VA ยท 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 ...

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 ...

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 ...

Azure Data Architect

Washington, DC ยท 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 ...

Showing results 41-60

Remote Machine Learning information

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.

What are the most commonly searched types of Machine Learning jobs in Washington?

The most popular types of Machine Learning jobs in Washington are:

What job categories do people searching Remote Machine Learning jobs in Washington look for?

The top searched job categories for Remote Machine Learning jobs in Washington are:

What cities in Washington are hiring for Remote Machine Learning jobs?

Cities in Washington with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Analytica

Bethesda, MD โ€ข Remote

$117K - $140K/yr

Full-time

Medical, Retirement

Posted 19 days ago


Job description

Analytica is seeking a seasoned and adaptable Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our infrastructure team in supporting an innovative federal mission. In this role, you will provide high-level technical leadership, engineering expertise, and strategic vision to optimize, manage, and secure our enterprise hardware, software, and network ecosystems.
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business.  We work with U.S. government customers in health, civilian, and national security missions.  Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Responsibilities include (but not limited to): 
• Develop, train, evaluate, deploy, and monitor machine learning and AI models for mission and business use cases.
• Build and support MLOps pipelines for model versioning, deployment, monitoring, and governance.
• Collaborate with data engineers, application developers, analysts, and domain SMEs to operationalize AI capabilities.
• Implement NLP, LLM, RAG, generative AI, predictive analytics, and automation solutions where appropriate.
• Optimize model performance, scalability, explainability, security, and reliability.
• Support AI solution integration into APIs, applications, reporting platforms, and operational workflows.
• Document model development, testing, deployment, monitoring, and responsible AI considerations.
Basic Qualifications:  
• 3+ years of AI/ML engineering, data science, or applied machine learning experience.
• Experience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Experience with MLOps tools, cloud AI services, model deployment, and production monitoring.
• Knowledge of NLP, LLMs, RAG, generative AI, predictive modeling, and model evaluation methods.
• Experience deploying AI/ML capabilities within secure cloud or enterprise environments.
• Strong analytical, documentation, communication, and collaboration skills.
• IRS, Treasury, fraud analytics, tax administration, or federal AI/ML experience preferred.
• Must have active or ability to obtain IRS MBI clearance.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.
These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.
  
 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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