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Nlp Engineer Jobs in Virginia (NOW HIRING)

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

Database Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and ...

AI Engineer

Manakin Sabot, VA · On-site

$152K/yr

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 ...

... Apply NLP techniques (entity extraction, classification, summarization, semantic search) to ... engineers to define schemas, feature stores, and vector databases (OpenSearch, pgvector) that ...

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

  • Medical

  • Dental

  • PTO

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 ...

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 ...

Senior AI Engineer

Dahlgren, VA · On-site

$100 - $130/hr

  • Medical

  • Retirement

  • PTO

Practical experience with NLP, semantic search, prompt engineering, and LLMs for enterprise‑scale knowledge graph applications including RAG architectures. * Experience with agentic AI systems and ...

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 ...

AI Engineer

VA · On-site

$152K/yr

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 ...

You'll operate at the intersection ofapplied AI engineering, client delivery, and internal ... Experience with AI/NLP applications beyond basic experimentation. * Familiarity with AI evaluation ...

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and ... ing services, and professional services. We integrate emerging technology, rapidly and securely ...

Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction ...

Showing results 41-60

Nlp Engineer information

See Virginia salary details

$36.2K

$106.4K

$136.3K

How much do nlp engineer jobs pay per year?

As of Aug 15, 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.

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 August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $106,361 per year, or $51.1 per hour.

AI/ML Engineer with Security Clearance

karan.kapadia@ivertix.com

Arlington, VA • On-site

Other

Re-posted 17 days ago


Job description

IVERTIX is hiring AI/ML Engineers for our client DOD . Kindly go through below JD and revert back with an updated resume. AI/ML Engineer Location: DC/MD/VA Preferred | Hybrid/Remote considered
Prime: Accenture Federal Services (AFS)
Clearance: U.S. Citizenship required; active Secret/TS/SCI preferred; ability to obtain and maintain clearance
Level: Junior / Journeyman / Senior Role Summary Design, build, and operate AI/ML solutions on the Advana data and analytics platform, including traditional ML and Generative AI/LLM capabilities. Work closely with data engineers, software engineers, and mission stakeholders to turn data into deployed, monitored models that support DoD decision-making. Core Responsibilities Develop, train, and evaluate ML models (classification, regression, clustering, NLP, time series).
Build MLOps pipelines for data prep, training, deployment, and monitoring on cloud infrastructure.
Integrate models into production services and user-facing applications (APIs, microservices, dashboards).
Implement and tune Generative AI/LLM solutions (e.g., RAG, prompt engineering, fine-tuning) using enterprise and mission data.
Collaborate with data engineers to define features, data quality checks, and scalable data pipelines.
Monitor model performance and drift; design retraining strategies and A/B tests.
Document models, assumptions, and limitations; support DoD Responsible/Ethical AI requirements.
Required Skills & Experience Strong Python development (pandas, NumPy, scikit-learn; plus TensorFlow and/or PyTorch).
Hands-on experience building and deploying ML models end-to-end (from data exploration to production).
Practical experience with MLOps tools and patterns (e.g., MLflow, SageMaker, Kubeflow, or similar).
Solid understanding of statistics, ML fundamentals, and evaluation metrics.
Experience working with cloud services (preferably AWS: S3, Lambda, ECR, ECS/EKS, SageMaker or equivalents).
Proficient with SQL and working with large structured/unstructured datasets.
Ability to work with cross-functional teams (data, software, product, mission).
Preferred Qualifications Experience with LLMs / Generative AI, RAG architectures, and vector databases.
Experience on large-scale data platforms (Databricks, Spark) and event/stream processing.
Experience in DoD, Federal, or other highly regulated environments (security, compliance, RMF awareness).
Familiarity with CI/CD, containerization (Docker), and Kubernetes for model deployment.
Relevant certifications (e.g., AWS Machine Learning Specialty, Databricks, or similar).