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

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 ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

YO AI Labs

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Knowledge Management, Inc.

Sr. Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Washington, DC (remote with availability required between 6:00 a.m. and 6:00 p.m. EST, Monday ... Coordinate with the Senior Data Scientists to ensure the architecture supports machine learning ...

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Showing results 41-60

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

Remote Machine Learning information

See Vienna, VA salary details

$25.6K

$42.7K

$88.3K

How much do remote machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote machine learning in Vienna, VA is $42,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,200.00 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Vienna, VA? For Remote Machine Learning jobs in Vienna, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Vienna, VA look for? The top searched job categories for Remote Machine Learning jobs in Vienna, VA are:
What cities near Vienna, VA are hiring for Remote Machine Learning jobs? Cities near Vienna, VA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Vienna, VA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,741 per year, or $20.5 per hour.

Data Scientist (Remote)

West 4th Strategy

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

Data Scientist
ROLE
We need an experienced Data Scientist at the Office of the Under Secretary of the Army for Personnel and Readiness (OUSW(P&R)). The office oversees manpower and personnel data systems in support of Army-wide workforce planning and readiness initiatives. In this role, you will develop and automate Python scripts for data collection, cleaning, and preprocessing; build and implement machine learning models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data sources; create data products and Qlik/Tableau reports and dashboards; and produce documentation covering report usage, data refresh procedures, and dashboard architecture. This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits package.
Apply today!                                                                        
RESPONSIBILITIES
  • Develop and automate Python scripts for collecting, cleaning and preprocessing data.
  • Work with cross functional teams to translate business requirements into data-driven solutions.
  • Create reports and visualizations in Qlik sense to communicate findings and insights effectively, matching needs of stakeholders and users.
  • Build and implement machine learning models and/or predictive analytics. 
  •  Maintenance of Historical Data for Faces to Spaces Data Model
    • Troubleshooting issues with ETL to a quick resolution
    • Updating ETL to reflect new data elements for new and existing manpower and personnel data sources
    • Data ingestion and transformation
    • Monthly updates / automation of new data ingestion and visualization
  • Create Data Products
    • Interpret data requirements and develop Qlik/Tableau Reports
    • Refactoring/repointing data ingest of dashboards from databases
    • Create documentation on how to use reports, how to refresh the data and overall dashboard architecture

REQUIRED EDUCATION / CERTIFICATIONS
  • Bachelor’s degree in information technology, computer science, mathematics, or a related field - required

REQUIRED EXPERIENCE / SKILLS
  • 3-10 years’ experience directly related to the outlined role responsibilities
  •  3 years’ experience as a Data Analyst or Data Scientist, with demonstrated hands-on experience with technologies such as Databricks, Python, Spark, and Pandas
  • Proficiency in Qlik
  • Experience with building, training and deploying machine learning
  • Detail-oriented mindset with a commitment to delivering high-quality results with little direction/oversight
  • Comfortable using AI tools to improve product quality and delivery speed

PREFERRED EXPERIENCE / SKILLS
  • Experience with Microsoft Power BI
  • Experience with cloud data structures such as AWS S3, delta and external tables​
  • Experience with Machine Learning models and/or Generative AI
  • Demonstrated experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems

LOCATION
  •  Remote – Eastern Standard Time zone – preferred but not required

CLEARANCE
  • U.S. Citizenship - required
  • Active Secret clearance - required

CLIENT
  • Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R))
TRAVEL
  • No travel required

WORK HOURS
  • 40 hours per week
  • 8 hours per working day

EMPLOYMENT CLASSIFICATION
  • Employment Classification Eligibility — W2 

COMPENSATION
  • Salary range: $135,000 – $150,000
  • Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options

West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.           
Other Considerations: applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.
 

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