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Natural Language Processing Jobs in Virginia (NOW HIRING)

RIVIDIUM

Data Scientist- Senior

Quantico, VA

Familiarity with natural language processing (NLP) and/or image processing techniques * Experience working with Microsoft tools , including SharePoint * Strong analytical, problem-solving, and ...

Probity Inc.

KD Applications Developer

Herndon, VA · On-site

... Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing whether through education or experience. Company : Probity Inc. Founded in 2011, the ...

GDIT

AI Engineer Senior

Chantilly, VA

$127.50K - $172.50K/yr

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP) Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes Seize your ...

Unissant, Inc.

AI/ML Developer

Ashburn, VA

Experience with natural language processing techniques (e.g., text classification, language generation). * Solid understanding of any of the cloud platforms (e.g., AWS, Azure, Google Cloud Platform ...

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$14

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$47

How much do natural language processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for natural language processing in Virginia is $25.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $29.33 per hour, depending on experience, location, and employer.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.
More about Natural Language Processing jobs
What are popular job titles related to Natural Language Processing jobs in Virginia? For Natural Language Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Virginia look for? The top searched job categories for Natural Language Processing jobs in Virginia are:
What cities in Virginia are hiring for Natural Language Processing jobs? Cities in Virginia with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Virginia as of May 2026, with employment types broken down into 3% Internship, 84% Full Time, 10% Part Time, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $52,532 per year, or $25.3 per hour.
Data Scientist- Senior

Data Scientist- Senior

RIVIDIUM

Quantico, VA

Full-time

Posted 28 days ago

Job description

RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.

This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and model development to deployment and performance monitoring.

Key Responsibilities

  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications

  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment

  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies

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