ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Bowie, MD (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 ...

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 ...

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 ...

System One

AI/ML Engineer

Mclean, VA · Remote

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

System One

AI/ML Engineer

Mclean, VA · Remote

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

System One

AI/ML Engineer

Mclean, VA · Remote

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

previous page

Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Bowie, MD

Remote Machine Learning information

See Bowie, MD salary details

$24.6K

$41.1K

$85K

How much do remote machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote machine learning in Bowie, MD is $41,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 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 the most commonly searched types of Machine Learning jobs in Bowie, MD? The most popular types of Machine Learning jobs in Bowie, MD are:
What job categories do people searching Remote Machine Learning jobs in Bowie, MD look for? The top searched job categories for Remote Machine Learning jobs in Bowie, MD are:
What cities near Bowie, MD are hiring for Remote Machine Learning jobs? Cities near Bowie, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Bowie, MD 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 $41,112 per year, or $19.8 per hour.

Graph Data Scientist

Magnus Management Group LLC

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

We are seeking a Graph Data Scientist to develop advanced graph analytics supporting fraud investigations across complex federal programs. The successful candidate will leverage Neo4j, graph algorithms, and machine learning to identify hidden relationships, organized fraud rings, and emerging fraud patterns.
Responsibilities:
  • Shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices. 
  • Must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. 
  • Must have three (3) or more years of hands-on experience in statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. 
  • Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. 
  • Should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support large‑scale, high‑complexity networks, preferably within large federal benefit programs. 
  • Should have strong Python skills using standard machine learning libraries are required. 
Minimum Qualifications
  • Minimum 3 years using Neo4j or similar graph database. 
  • Minimum 3 years developing graph analytics for fraud detection. 
  • Experience with Cypher query language. 
  • Strong Python programming skills. 
  • Experience with graph algorithms including: 
    • Community Detection 
    • Centrality Measures 
    • Shortest Path 
    • Link Analysis 
    • Network Topology 
  • Experience with machine learning applied to graph data. 

This is a remote position.