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Nltk Jobs (NOW HIRING)

Congensys Corp.

Senior Data Scientist

Woodlawn, MD

Leidos- SSA Key Required Skills: • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. • Experience with Generative AI and Large Language ...

New

Purple Drive Technologies

AI/ML Engineer

Dublin, OH · On-site

... NLTK) - Healthcareclinical text processingExperience - 5 years AIML engineering - Clinical NLP and healthcare data extraction experience - LLM fine-tuning and prompt engineering - Deployment to ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

... NLTK, SpaCy, or Transformers. • Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. • Perform data cleaning, preprocessing, and feature engineering on ...

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup * 1+ years of LLM experience building RAG systems at scale (10,000 ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure ...

IntraEdge

Engineer II Premium

Phoenix, AZ · On-site

$82.50K - $110K/yr

... NLTK, spaCy), pandas, Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented Generation (RAG) - Prompt ...

Compunnel

RAKOF 415 PYTHON DEVELOPER

Princeton, NJ · On-site

$52.75 - $72.50/hr

Understand the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Involved front-end development using ...

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How much do nltk jobs pay per hour?

As of May 29, 2026, the average hourly pay for nltk in the United States is $52.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $69.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an NLP Engineer using NLTK, and why are they important?

To thrive as an NLP Engineer using NLTK, you need a solid background in computer science, strong programming skills in Python, and a good understanding of linguistics and natural language processing concepts. Familiarity with NLTK, other NLP libraries (like spaCy), and experience with machine learning frameworks and data processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you develop robust language models and collaborate with interdisciplinary teams. These skills are crucial for building accurate, efficient, and innovative NLP solutions that meet user and business needs.

What are the typical challenges faced by professionals working with NLTK in natural language processing projects?

Professionals using NLTK for natural language processing often encounter challenges such as handling large datasets efficiently, ensuring compatibility with diverse text formats, and integrating NLTK with other machine learning libraries. Additionally, because NLTK is primarily used for research and prototyping, deploying production-ready solutions may require additional effort in optimizing performance and scalability. Collaborating with data engineers and software developers is common to address these challenges and deliver robust NLP applications.

What is NLTK and what is it used for?

NLTK, or Natural Language Toolkit, is a Python library used for working with human language data (text). It provides easy-to-use interfaces to over 50 corpora and lexical resources, along with various text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK is widely used in research and teaching for natural language processing (NLP) tasks, making it a popular choice for prototyping and building text analysis applications. It's particularly valued for its comprehensive documentation and active community support.

What is the difference between Nltk vs Text Analyst?

AspectNltkText Analyst
Required CredentialsKnowledge of Python, basic programming skillsDegree in linguistics, data analysis, or related field
Work EnvironmentProgramming, data processing, research projectsData interpretation, report writing, client interaction
Industry UsageNatural language processing, AI, machine learningMarket research, media analysis, content evaluation

While Nltk is a Python library used for natural language processing tasks, a Text Analyst applies various tools, including Nltk, to interpret and analyze textual data. Nltk provides the technical foundation, whereas a Text Analyst focuses on deriving insights from data using such tools.

More about Nltk jobs
What job categories do people searching Nltk jobs look for? The top searched job categories for Nltk jobs are:
Nltk jobs near you
Infographic showing various Nltk job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 1% Part Time, and 19% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $109,227 per year, or $52.5 per hour.

Senior Data Scientist

ServIT Consulting LLC

Woodlawn, MD

Other

Posted yesterday

Job description

Key Required Skills:

  • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
  • Excellent Communication skills

Position Description:

  • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
  • Well versed in SQL and analyzing trends and transactional data.
  • Understand real world challenges and develop automated data solutions
  • Develop, test, and deploy new techniques for NLP understanding
  • Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
  • Train and optimize NLP/LLM models and create Python based pipelines
  • Experience building cloud native solutions on AWS
  • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
  • Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
  • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
  • Provide accurate, timely, complex, and sophisticated data analysis.

Skills Requirements:

Foundation for Success (Basic Qualifications)

  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI/ML/LLM engineering.
  • Overall 10+ years’ experience in IT industry

Factors To Help You Shine (Required Skills)

Selected candidate must be able to obtain and maintain a public trust clearance
Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
Master''s and 10+ years of experience, Bachelor''s and 12+ years of experience or 18+ years in lieu of a degree

  • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
  • Experience with Generative AI and Large Language Models (LLM)
  • Evidence of true self-starter and operating independently.
  • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
  • Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
  • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
  • Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
  • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
  • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
  • Ability to clean and process large amounts of real-world data.
  • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
  • Excellent Communication skills.
  • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
  • Excellent analytical skills to identify potential risks and propose effective solutions.
  • Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.

How To Stand Out From The Crowd (Desired Skills)

  • Prior experience with federal or state governments IT projects.
  • Industry experience preferred
  • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
  • Experience working in an analytical research environment.
  • Experience in parallel processing such as GPU programming with CUDA
  • Experience with Mathematica
  • Experience using markup languages such as LaTeX, HTML, etc.
  • Experience with Natural Language Processing for anomaly detection

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