ZipRecruiter

Log In

1

Machine Learning Nlp Jobs in Virginia (NOW HIRING)

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... NLP) tasks such as entity extraction, summarization, and semantic search. Minimum Qualifications:

Core Interface

Data Scientist

Chantilly, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Apply machine learning, NLP, and AI techniques to support entity resolution and extraction workflows * Gather, profile, and prepare large datasets for analysis and model training * Create and track ...

THOMSON REUTERS

Generative AI & Machine Learning Engineer

Mclean, VA · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for ... Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace ...

Thomson Reuters

Generative AI & Machine Learning Engineer

Mclean, VA · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for ... Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Nlp JobsMachine Learning Nlp Jobs in Virginia

Machine Learning Nlp information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do machine learning nlp jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning nlp in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.

What are popular job titles related to Machine Learning Nlp jobs in Virginia?

For Machine Learning Nlp jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Nlp jobs in Virginia look for?

The top searched job categories for Machine Learning Nlp jobs in Virginia are:

Machine Learning Nlp jobs near you
Infographic showing various Machine Learning Nlp job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

AI/ML Data Engineer (TS/SCI with Poly Required)

GCI, Inc.

Chantilly, VA • On-site

$79.03 - $131.98/hr

Full-time

Re-posted 24 days ago

Job description

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.
At GCI, we solve the hard problems. As an AI/ML Data Engineer, a typical day will include the following duties:
JOB DESCRIPTION
The Data Engineer will work closely with the team to advance Human Language Technologies (HLT), with a focus on refining text and audio translation capabilities. This position will be responsible for establishing an environment to train custom models for the top language types currently available in our triage tool. Additionally, this role will enable the organization to develop the capacity to train low-resource languages which may emerge as future priorities. The individual in this role will work closely with Data Scientists, providing comprehensive support and ensuring seamless coverage. A professional who utilizes statistical analysis, programming skills, and machine learning techniques to collect, clean, analyze, and interpret large datasets, extracting valuable insights and creating predictive models.
KEY RESPONSIBILITIES
  • Develop, fine-tune, evaluate, and optimize multilingual machine translation models (e.g., NLLB, Opus-MT, MarianMT) to improve translation quality for low-resource languages.
  • Build, preprocess, and manage multilingual text and speech datasets for model training, evaluation, and continuous improvement.
  • Design, develop, and maintain scalable data pipelines and end-to-end MLOps workflows for data ingestion, model training, deployment, monitoring, and lifecycle management.
  • Develop and deploy cloud-native machine learning solutions using AWS services such as SageMaker, Step Functions, and Bedrock.
  • Deploy and support machine learning models in production using containerized environments and CI/CD best practices.
  • Engineer features and optimize datasets to improve machine learning model performance.
  • Conduct testing, validation, benchmarking, and troubleshooting of machine learning models and data pipelines.
  • Research and evaluate emerging AI, machine learning, NLP, and speech technologies for mission applications.

EDUCATION AND EXPERIENCE
  • Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
  • 10+ years of related software engineering experience.

REQUIRED QUALIFICATIONS
  • Experience developing software applications using Python.
  • Experience training, fine-tuning, evaluating, and optimizing machine learning and deep learning models using modern frameworks and best practices.
  • Familiarity with DevOps and MLOps principles, including CI/CD, infrastructure automation, model lifecycle management, monitoring, version control, and software delivery best practices.
  • Hands-on experience with AWS cloud services and AI/ML offerings, including S3, EC2, IAM, VPC, SageMaker, Bedrock, Lambda, and related services.
  • Experience developing and deploying containerized applications using Docker.

DESIRED QUALIFICATIONS
  • Experience fine-tuning transformer-based language translation models (e.g., NLLB, Opus-MT, MarianMT) and working with Hugging Face Transformers.
  • Familiarity with experiment tracking, model registries, and dataset versioning tools such as MLflow, Weights & Biases, or DVC.
  • Experience with distributed training frameworks such as Ray or PyTorch Distributed
  • Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience designing, implementing, and maintaining production-grade MLOps pipelines and automated machine learning workflows supporting model training, deployment, monitoring, and lifecycle management using technologies such as AWS Step Functions, Apache NiFi, Apache Airflow, or similar orchestration platforms.
  • Experience developing multilingual NLP, speech processing, or language translation solutions.
  • Familiarity with large language models (LLMs), transformer architectures, and generative AI technologies.
  • Familiarity with NLP frameworks such as spaCy, NLTK, Stanford CoreNLP, or similar libraries.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a multidisciplinary environment.
  • Familiarity with audio processing frameworks such as Librosa, PyAudioAnalysis, OpenSMILE, or similar technologies.

*A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply