ZipRecruiter

Log In

2

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

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 ...

T2S Solutions

Resume Only Submission

Aberdeen, MD · On-site +1

$179K/yr

Artificial Intelligence (AI) and Machine Learning (ML); Cyber Security; Cloud Computing ... That's why we offer flexible scheduling, remote work options, and a healthy work-life balance We ...

Fuse Engineering LLC

Software Engineer

Annapolis, MD · On-site +1

Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Work Flexibility This role is eligible for full time remote work.

next page

Showing results 1-20

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

Remote Machine Learning information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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 the most commonly searched types of Machine Learning jobs in Baltimore, MD? The most popular types of Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Remote Machine Learning jobs in Baltimore, MD? For Remote Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Remote Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Machine Learning jobs? Cities near Baltimore, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Data Technician (Remote)

Tactibit Technologies LLC

Silver Spring, MD • Remote

Full-time

Re-posted 13 days ago

Job description

Tactibit Technologies provides innovative information technology, cybersecurity, and cloud support services to the Federal Government. We support some of the nation's most critical and demanding projects including satellite operations, critical infrastructure, and search and rescue. We are a diverse team of hands-on professionals dedicated to solving problems and developing innovative solutions in support of our customers' critical missions. Our success is dependent on our inclusive, collaborative environment with a shared commitment to excellence in everything we do.


About the Data Technician position

We are looking for a talented Data Technician to join our team remotely. You will support mission-critical systems that receive, process, disseminate, and store petabytes of environmental and scientific data collected from Earth orbiting satellites daily. You will collect, review, and input data into a computer processing system and review/audit output data. You should have a deep understanding of enterprise and/or scientific data sets and experience managing large-scale data.

Data Technician responsibilities are:
  • Research, design, deploy, and document new data management tools and techniques
  • Manage large-scale data sets from modern ground systems and applications
  • Support data management processing including data migration, backup, and recovery
  • Provide reporting metrics to management and customers
  • Assist with troubleshooting issues
  • Work with cross-functional teams to ensure sound data management practices throughout the software development lifecycle
Data Technician requirements are:
  • 8+ years of enterprise data management experience
  • Experience with GIS data
  • Strong understanding of data management processes and technologies
  • Experience using scripting languages such as Perl, Python, Java, PowerShell, Ruby, etc.
  • Strong analytical skills and ability to work under pressure
  • Must be able to pass a full background investigation and obtain a security badge to enter the applicable government facility
Desired Qualifications are:
  • Experience working with AWS services or AWS cloud certification(s) are a plus
  • Experience in high-performance computing, machine learning, artificial intelligence applications and frameworks in a cloud environment
  • Familiarity with environmental or scientific data processing
  • Familiarity with modern agile software development principles, practices, methods, and tools
  • Experience with version control systems (preferably Git) and issue tracking software (preferably Jira)
  • BS/BA degree in Computer Science, Engineering, or a related field preferred, but not required
  • Industry certifications such as AWS certifications