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Remote Machine Learning Jobs in Pikesville, MD (NOW HIRING)

GRVTY

Senior Software Engineer

Laurel, MD · On-site +1

$150K - $200K/yr

Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ... Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Motorola

Senior DevOps Engineer (US REMOTE)

Beltsville, MD · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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Showing results 21-40

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

Remote Machine Learning information

See Pikesville, MD salary details

$24.7K

$41.2K

$85.2K

How much do remote machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote machine learning in Pikesville, MD is $41,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 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.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Pikesville, MD?

The most popular types of Machine Learning jobs in Pikesville, MD are:

What are popular job titles related to Remote Machine Learning jobs in Pikesville, MD?

For Remote Machine Learning jobs in Pikesville, MD, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Pikesville, MD look for?

The top searched job categories for Remote Machine Learning jobs in Pikesville, MD are:

What cities near Pikesville, MD are hiring for Remote Machine Learning jobs?

Cities near Pikesville, MD with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Pikesville, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,207 per year, or $19.8 per hour.

Data Scientist, Level 2

WOOD Federal Solutions

Fort George G Meade, MD • On-site, Remote

$161K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Data Scientist, Level 2

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type: Full-Time

Shift: Day

Telework: None

Salary Range: **$161,800 to $175,000 per year

** Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Overview: A Data Scientist transforms complex datasets into clear, meaningful insights—building and testing machine learning, statistical, and graphbased algorithms, creating data when it doesn’t exist, and delivering crisp visualizations that guide smarter decisions. They collaborate with subjectmatter experts to automate analysis and push prototype analytics into real production workflows. Step into a role where your models drive realworld impact—your ideas will shape missions, and your growth will have no ceiling.

Security Clearance Requirements:

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.


  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data
    and develop scripts that extract this information from a variety of data formats (e.g., SQL tables,
    structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
  • Evaluate individual analytic efforts and make recommendations in the analytic development process.
  • Recommend solutions that can scale to large datasets.
  • Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.
  • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Required Education & Years of Experience:

  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience reducing the requirement to six (6) years of relevant experience analyzing datasets and developing analytics, and
      three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Fringe Benefits:

  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

  • Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.

  • Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.

  • Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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