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

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

ManTech

Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

The Social App

Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

Experience with Node.Js * Knowledge of machine learning and data analytics * Experience in building highly scalable architectures * Experience working in a fast-paced environment on a number of ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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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 Jul 14, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,741 per year, or $20.5 per hour.
Skillbridge Internship- AI Software Engineer (Remote)

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • On-site, Remote

Full-time

Posted 7 days ago

Job description

About Knexus
Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!
Position Overview
During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.
Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.
Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.
  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA

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