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Machine Learning Natural Language Processing Jobs in Maryland

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Tata Consultancy Services

Engineer

Owings Mills, MD · On-site

... natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. • ... machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. • Knowledge of ...

XPERTECHS

Automation Team Lead

Columbia, MD · On-site

Solid 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 ...

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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 Jul 15, 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.

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.

What is a Machine Learning Natural Language Processing (NLP) 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, and why are they important?

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.
What are popular job titles related to Machine Learning Natural Language Processing jobs in Maryland? For Machine Learning Natural Language Processing jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Natural Language Processing jobs in Maryland look for? The top searched job categories for Machine Learning Natural Language Processing jobs in Maryland are:
Machine Learning Natural Language Processing jobs near you
Healthcare (HC) Data Analyst

Healthcare (HC) Data Analyst

Pae

Bethesda, MD

Full-time

Re-posted 5 days ago

Job description

Amentum provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients' evolving and dynamic needs.

Amentum is seeking a Human Capital Data Analyst - Senior. This position is to build a pipeline for future work and is not a live opening.

The following categories shall pose the necessary skills and disciplines to assist the varying tasks. Responsibilities and duties listed below are not mutually exclusive.

Desired Knowledge, Skills and Abilities:

  • Provides Data Analytic support for HC surveys (eg Lime Survey) and data calls
  • Leads structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Coordinates within government and across the IC for survey data
  • Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau
  • Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA Lead

Required Skills and Abilities:

  • TS/SCI security clearance is required.
  • Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime Survey) and data calls, structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Highly proficient with data tools such as Python, conduct R analysis, SPSS, display results via Tableau.
  • Excellent oral and written communications skills and expertise with MS Office tool suite.

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