1

Python Nlp Jobs (NOW HIRING)

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

NLP | AI | Information Retrieval | Claim Verification 🔹 Only local and W2 Candidates Key Skills: ✅ Python & Production NLP/ML ✅ Hybrid Search -- Vector + Lexical Retrieval ✅ NLI / Textual ...

New

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrates professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrates professional or academic ...

Experience with AIML deep learning TensorFlow Python NLP * Excellent understanding of machine learning techniques and algorithms such as GPTs CNN RNN kNN Naive Bayes SVM Decision Forests etc Skills ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Experience with AIML deep learning TensorFlow Python NLP * Excellent understanding of Generative AI related concepts methodologies and techniques Experience Qualifications * Bachelor's degree in ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. * Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. 3.Demonstrated professional or academic ...

Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents. 3.Demonstrated professional or academic ...

Python Developer

Fremont, CA · On-site

$55.25 - $76/hr

Job Summary : InterSources Inc is seeking a Python Developer to design, develop, and optimize ... NLP/AI workflows and production systems. • Collaborate with cross-functional teams to deliver ...

Python Developer

Fremont, CA · On-site

$55.25 - $76/hr

Job Summary : InterSources Inc is seeking a Python Developer to design, develop, and optimize ... NLP/AI workflows and production systems. • Collaborate with cross-functional teams to deliver ...

Showing results 21-40

Python NLP information

See salary details

$13

$58

$86

How much do python nlp jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for python nlp in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python NLP specialist?

A Python NLP (Natural Language Processing) specialist is a professional who uses the Python programming language to develop, implement, and optimize algorithms that help computers understand, interpret, and generate human language. They work with libraries such as NLTK, spaCy, and transformers to process text, perform sentiment analysis, build chatbots, and more. Python NLP specialists are essential in fields like AI, machine learning, and data science, enabling applications such as language translation, speech recognition, and information extraction.

How do Python NLP specialists typically collaborate with data engineers and domain experts during a project?

Python NLP specialists often work closely with data engineers, who are responsible for preparing and managing large datasets needed for natural language processing tasks. Collaboration with domain experts is also essential to ensure that the developed models and solutions are contextually relevant and accurate. Regular meetings, code reviews, and shared documentation are common practices to maintain alignment and integrate feedback. This teamwork helps address challenges related to data quality, model interpretability, and the real-world applicability of NLP solutions.

What are the key skills and qualifications needed to thrive as a Python NLP specialist, and why are they important?

To thrive as a Python NLP Specialist, you need a solid background in computer science, linguistics, and experience with Python programming and natural language processing concepts. Familiarity with NLP libraries such as NLTK, spaCy, and TensorFlow, as well as knowledge of machine learning frameworks and cloud platforms, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with diverse teams. These skills and qualifications are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.

What is the difference between Python Nlp vs Data Scientist?

AspectPython NlpData Scientist
Required CredentialsProficiency in Python, NLP libraries, and basic statisticsDegree in Data Science, Statistics, or related field; Python skills beneficial
Work EnvironmentFocus on text data processing, language models, and NLP tasksBroader data analysis, visualization, and predictive modeling
Industry UsageTech, research, and companies focusing on language-based applicationsFinance, healthcare, marketing, and diverse sectors

Python Nlp specialists focus specifically on natural language processing tasks using Python, while Data Scientists have a broader role involving data analysis, modeling, and visualization across various data types. Both roles require Python skills, but Data Scientists typically have a wider scope of responsibilities.

More about Python NLP jobs

What are the most commonly searched types of Python Nlp jobs?

The most popular types of Python Nlp jobs are:

What other helpful pages are available for Python Nlp?

Other pages related to Python Nlp:

Infographic showing various Python Nlp job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 87% Full Time, 6% Part Time, and 4% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Bespoke Technologies, Inc.
Recruiting and Staffing Services • 11 - 50 employees

Other

Posted 28 days ago


Job description

BT-388– Data Scientist

Skill Level- Subject Matter Expert

Location: McLean, VA (fully on-site, no remote option)

Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.

Required Skills
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Develop practical approaches for measuring performance.
  • Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conduct advanced statistical analysis on personnel and performance metrics.
  • Assist in selection or development of appropriate methodology to conduct research.
  • Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Desired Skills
  • Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Demonstrated experience with cloud computing development and architecture
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
#J-18808-Ljbffr