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Remote Machine Learning Jobs in Washington (NOW HIRING)

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 ...

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 ...

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Remote Machine Learning information

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 the most commonly searched types of Machine Learning jobs in Washington? The most popular types of Machine Learning jobs in Washington are:
What are popular job titles related to Remote Machine Learning jobs in Washington? For Remote Machine Learning jobs in Washington, the most frequently searched job titles 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:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
AI Software Engineer (Remote)

AI Software Engineer (Remote)

Knexus

Vienna, VA • Remote

Full-time

Re-posted 7 hours ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.