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

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

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 ...

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

Remote Machine Learning information

See Laurel, MD salary details

$25.3K

$42.2K

$87.2K

How much do remote machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine learning in Laurel, MD is $42,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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 Laurel, MD? The most popular types of Machine Learning jobs in Laurel, MD are:
What are popular job titles related to Remote Machine Learning jobs in Laurel, MD? For Remote Machine Learning jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Laurel, MD look for? The top searched job categories for Remote Machine Learning jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Remote Machine Learning jobs? Cities near Laurel, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Software Engineer (Machine Translation)TS/SCI with Poly)

Software Engineer (Machine Translation)TS/SCI with Poly)

SOLERITY

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

$170K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Description

 Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical Signals Intelligence (SIGINT) and cybersecurity missions.


Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics.

The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.


Responsibilities Include:
  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation. 
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications. 
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions. 
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges. 
  • Contribute to the design and implementation of machine translation pipelines and text processing systems. 
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing. 
  • Analyze and improve encoder/decoder transformer architectures and related AI systems. 
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy. 
  • Support integration and deployment of AI solutions within secure operational environments. 
  • Build and maintain containerized applications using Docker for model deployment and testing. 
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions. 
  • Propose enhancements to machine translation systems and end-to-end data processing flows. 
  • Document research findings, methodologies, and technical implementations. 
  • Additional duties may be assigned. 
REQUIREMENTS YOU BRING:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, or other STEM field. 
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines. 
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required. 
  • Strong experience working in research and development environments. 
  • Hands-on experience with machine learning and machine translation technologies. 
  • Solid understanding of encoder-decoder transformer architectures. 
  • Experience with modern text processing pipelines and natural language processing systems. 
  • Understanding of text embeddings and vector-based representations. 
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models. 
  • Ability to evaluate and compare machine translation architectures and approaches. 
  • Experience developing AI/ML solutions using Python and C/C++. 
  • Experience with Docker for containerized development and deployment. 
  • Ability to propose and implement improvements to AI/ML systems and workflows. 
HIGHLY DESIRED QUALIFICATIONS:
  • Experience working in Intelligence Community or SIGINT-focused environments. 
  • Strong research background in machine translation or natural language processing. 
  • Experience developing or fine-tuning transformer-based AI models. 
  • Experience with distributed computing or large-scale model training environments. 
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders. 
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings. 
WORK LOCATION
  • Emerson III facility 
  • Telework eligible (up to 50% depending on mission requirements) 
TRAVEL
  • Minimal travel anticipated based on mission requirements

Requirements

BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


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JOB ID- 343

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