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Python Nlp Jobs (NOW HIRING)

SAIC

Data Scientist

Mclean, VA · On-site

$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 ...

Point72

NLP Engineer

New York, NY · On-site

Experience in NLP, particularly LLMs ... Proficient in Python, SQL and general software engineering principles (github, testing, etc.

Point72

NLP Engineer

New York, NY · On-site

Experience in NLP, particularly LLMs ... Proficient in Python, SQL and general software engineering principles (github, testing, etc.

SAIC

Data Scientist

Mclean, VA · On-site

$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 ...

SAIC

Data Scientist

Mclean, VA · On-site

$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 ...

Damco Solutions

Application Engineer (AI)

San Jose, CA · On-site

... Python, NLP. Preferred : • Knowledge of Kubernetes will be added advantage, but not required. • Experience integrating AI/ML features into production applications is a plus. Company : Damco ...

GRVTY

Data Scientist

Mclean, VA · On-site

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 ...

GRVTY

Data Scientist

Mclean, VA · On-site

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 ...

GRVTY

Data Scientist

Mclean, VA · On-site

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 ...

SAIC

Data Scientist

Mclean, VA · On-site

$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 ...

Bridge Core (BCore)

Data Scientist

Mclean, VA

$190K - $225K/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 ...

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How much do python nlp jobs pay per hour?

As of Sep 14, 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.

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Python Nlp jobs near you
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.

Senior AI / ML Engineer (Python)

Charlotte, NC • On-site

ITTConnect
IT Services • 11 - 50 employees
Learn more about ITTConnectexternal

Full-time

Posted 15 days ago

Job description

ITTConnect is seeking an experienced Senior AI / ML Engineer (Python) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry. Job location: Charlotte, NC.

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems. Key Responsibilities: Architect and develop AI-driven IVR and conversational systems using Python Build NLP models for text classification and clustering to support intent detection and call routing Perform data analysis using SQL Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases Lead development of Agentic AI workflows for multi-step customer interactions Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management Partner with IVR platform, speech engineering, and product teams Mentor offshore and junior AI engineers Requirements 12+ years of experience in AI / ML Strong proficiency in Python.

Proven expertise in NLP, including: Text classification Clustering Strong experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG) Good to Have: Experience with Agentic AI and multi-agent orchestration Experience with LLMOps / MLOps in production environments Cloud Experience Libraries & Tools: Python / ML: NumPy, Pandas, Scikit-learn, XGBoost NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI Data & SQL: Oracle, MySQL, SQLAlchemy Vector Databases: FAISS, Pinecone, Weaviate, Qdrant LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

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