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Machine Learning Natural Language Processing Jobs in Maryland

AIToolboard

Data Scientist Level 3

Suitland, MD · On-site

$94K - $198K/yr

Advanced Machine Learning: Apply deep learning and natural language processing (NLP) techniques to develop sophisticated data models and algorithms.\* Leadership and Mentorship: Lead and mentor ...

XPERTECHS

Automation Associate

Columbia, MD · On-site

Basic understanding of AI technologies such as machine learning, natural language processing, and automation tools (e.g., Power Automate, Azure Cognitive Services, OpenAI APIs). * Strong analytical ...

AIToolboard

AI Research Scientist

Baltimore, MD · On-site

... as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Responsibilities include conducting theoretical and empirical research, publishing ...

B&A

Lead Data Scientist

Suitland, MD · On-site

Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) * Manage ...

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Machine Learning Natural Language Processing information

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How much do machine learning natural language processing jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning natural language processing in Maryland is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $21.01 per hour, depending on experience, location, and employer.

What is a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.

What are the key skills and qualifications needed to thrive as a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

How do professionals in machine learning natural language processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.
Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,151 per year, or $19.3 per hour.

Artificial Intelligence/Machine Learning Engineer with Security Clearance

Annapolis Junction, MD • On-site

EverWatch
See more jobs at EverWatchexternal

$55.28 - $72.11/hr

Other

Re-posted 1 hour ago

Job description

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success. EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives. Commitment to Non-Discrimination: All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Responsibilities Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments. You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness. You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions. Join us. The world can’t wait. Qualifications You Have:  * 1+ years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
* Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
* Familiarity with standard data science libraries and development tools
* Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
* Ability to collaborate within a team and communicate technical concepts clearly
* TS/SCI clearance with a polygraph
* Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience Nice If You Have:  * Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
* Experience with version control tools such as Git and collaborative development environments
* Knowledge of deep learning frameworks such as PyTorch or TensorFlow
* Knowledge of large language models (LLMs) and generative AI concepts
* Knowledge of cloud platforms such as AWS, Azure, or GCP
* Knowledge of containerization technologies such as Docker or Kubernetes
* Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
* Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments  Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.   Compensation at EverWatch is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55.28 to $72.11 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch’s total compensation package for employees.

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