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Nlp Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Chantilly, VA

$117K - $140K/yr

... NLP). We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC. The tech stack used is extremely broad - anything cutting edge in the commercial ...

Engineers own work end-to-end including data, model integration, services, UI, infrastructure ... Experience: 1-3years of professional experience building and shipping ML or NLP systems, including ...

Collaborate with data scientists and software engineers to integrate AI solutions into existing ... and NLP * Experience in data preprocessing, feature extraction, and transforming raw data into ...

AI Engineer

Springfield, VA · On-site

$100/hr

Proven experience in machine learning, deep learning, or AI engineering * Proficiency in Python and ... Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ...

AI Engineer

Springfield, VA · On-site

$100/hr

Proven experience in machine learning, deep learning, or AI engineering * Proficiency in Python and ... Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ...

AI Engineer

Springfield, VA · On-site

$100/hr

Proven experience in machine learning, deep learning, or AI engineering * Proficiency in Python and ... Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) * Familiarity with ...

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

... NLP, semantic search, prompt engineering, and LLMs for enterprise-scale knowledge graph applications including RAG architectures. • Experience with agentic AI systems and multi-modal model ...

AI Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data ... NLP, text generation, and conversational AI. • Familiarity with data governance, security ...

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

... NLP). We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC. The tech stack used is extremely broad - anything cutting edge in the commercial ...

Showing results 21-40

Nlp Engineer information

See Virginia salary details

$36.2K

$106.4K

$136.3K

How much do nlp engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for nlp engineer in Virginia is $106,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP Engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the Nlp Engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP Engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and linguistics. It is a growing field with high demand in industries like tech, healthcare, and finance, offering competitive salaries and opportunities for advancement. Success in this career typically involves continuous learning and proficiency with tools like Python and frameworks such as TensorFlow or PyTorch.

What does an NLP engineer do?

An NLP engineer develops and implements algorithms that enable computers to understand, interpret, and generate human language. They work with machine learning models, natural language processing tools, and programming languages like Python to build applications such as chatbots, language translation, and sentiment analysis systems.

What engineers make 500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and stock options or bonuses. Roles in technology companies, finance, or startups with equity offerings are more likely to reach this compensation level.

What is the salary of NLP engineer?

The average salary of an NLP engineer in the United States ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing tools may earn higher compensation.
What are the most commonly searched types of Nlp Engineer jobs in Virginia? The most popular types of Nlp Engineer jobs in Virginia are:
What are popular job titles related to Nlp Engineer jobs in Virginia? For Nlp Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Virginia look for? The top searched job categories for Nlp Engineer jobs in Virginia are:
Infographic showing various Nlp Engineer job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $106,361 per year, or $51.1 per hour.

Senior Data Scientist/Engineer

Agile Defense

Chantilly, VA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Agile Defense is a company focused on providing innovative solutions for national security missions. They are seeking a Senior Data Scientist/Engineer to lead the development of advanced data-science models and workflows aimed at enhancing cyber data analysis and decision-making in a classified environment.
Responsibilities:
• Lead the end-to-end development of NLP and entity-extraction models tailored for cyber data.
• Prototype and integrate generative AI solutions to automate insight generation.
• Assist with data-engineering tasks, including parsing raw logs and preparing feature sets.
• Collaborate with cyber SMEs to define data-quality standards and validation criteria.
• Translate user stories and requirements into technical specifications and test plans.
• Implement, document, and maintain Python code for reproducible data-science workflows.
• Conduct model performance evaluations and iterate to improve accuracy and scalability.
• Present findings and demos to stakeholders, incorporating feedback into subsequent sprints.
Qualifications:
Required:
• Active U.S. security clearance at TS/SCI with Full Scope Poly.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 4–8 years of hands-on data-science experience, including algorithm development and model deployment in production environments.
• Strong proficiency in Python and its data-science ecosystem (pandas, scikit-learn, PyTorch/TensorFlow).
• Expertise in NLP techniques (e.g., tokenization, named-entity recognition, embedding models).
• Proven ability to implement entity-extraction pipelines.
• Familiarity with generative AI frameworks and experience with machine learning.
• Experience with data-engineering fundamentals (ETL, data cleansing, feature engineering).
• Exceptional verbal and written communication skills; ability to distill complex concepts for non-technical audiences.
• Demonstrated experience working with cyber or security-related datasets.
Preferred:
• Experience with big-data platforms (Spark, Hadoop) and stream processing (Kafka).
• Familiarity with cloud-based intelligence-community environments (AWS GovCloud, Azure Government).
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with data-visualization tools (e.g., Plotly, D3.js).
Company:
Agile Defense is an information technology company located in Reston. It is a sub-organization of Agile-BOT. Founded in 1998, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.