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Spacy Jobs (NOW HIRING)

Intellisoft Technologies

Python Developer

Sunnyvale, CA · On-site

$58.75 - $80.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx • Ability to quickly learn new technologies and adapt to a fast-paced ...

Intellisoft Technologies

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx. • Ability to quickly learn new technologies and adapt to a fast-paced ...

Intellisoft Technologies

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinx • Ability to quickly learn new technologies and adapt to a fast-paced ...

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 ...

SPD Technology

NY · On-site

$127 - $173/hr

Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries. * R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL ...

Zortech Solutions

Java Developer with Instabase

Columbus, OH · On-site

$49.25 - $63.75/hr

Advise and instruct on the ecosystem of open source tools python spacy pandas sklearn etc compatible with Instabase and how customers can use them Skills Mandatory Skills : Instabase Java,HTML/HTML5 ...

IntraEdge

Engineer II Premium

Phoenix, AZ

$82K - $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 ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries. * R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL ...

Infosys Limited

Solutions Architect

Tampa, FL · On-site

$120 - $180/hr

OAP, VEGAS, PyVegas), Advanced NLP, LangChain, Spacy. * Data Migration: Apache Airflow. * Databases: Oracle 11g, MySQL, MS SQL Server, Redis (In-memory). * Programming: Python, Shell scripting, SQL ...

Noblesoft Technologies

Technical Lead(GenAI)

Raritan, NJ · On-site

Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications. Hands on experience ...

New

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 ...

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How much do spacy jobs pay per year?

As of Aug 15, 2026, the average yearly pay for spacy in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working with spacy in natural language processing projects?

Professionals using spaCy often encounter challenges such as customizing pre-trained models to fit domain-specific language, handling large-scale text data efficiently, and integrating spaCy pipelines with other machine learning frameworks. Additionally, staying updated with frequent library updates and best practices can be demanding. Collaboration with data scientists and software engineers is typically necessary to ensure seamless deployment and scaling of NLP solutions in production environments.

What are the key skills and qualifications needed to thrive as a spacy specialist?

To thrive as an NLP Engineer specializing in spaCy, you need a solid background in computer science, linguistics, and machine learning, often supported by a relevant degree. Proficiency with Python programming, the spaCy library, and experience with tools like Jupyter Notebooks and version control systems are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you design and implement robust language models and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing, optimizing, and deploying high-quality NLP solutions that meet real-world business needs.

What is a spacy job?

A Spacy job typically refers to a professional who works with spaCy, an open-source natural language processing (NLP) library in Python. These roles often involve developing, implementing, or maintaining NLP applications such as text classification, named entity recognition, or information extraction using spaCy. Professionals in this field may work as data scientists, NLP engineers, or machine learning specialists, leveraging spaCy's efficient and easy-to-use tools to process and analyze large volumes of text data. Familiarity with Python programming and a background in linguistics or machine learning are often beneficial for such roles.
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What are the most commonly searched types of Spacy jobs?

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What job categories do people searching Spacy jobs look for?

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Spacy jobs near you
Infographic showing various Spacy job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 1% Part Time, and 15% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior Data Scientist

Kendrit Consulting Group

Baltimore, MD • On-site

$70 - $80/hr

Full-time

Re-posted 10 days ago

Job description

Seeking a Senior Data Scientist (NLP) to join our team in Woodlawn, MD supporting a large federal agency. This role requires deep expertise in Natural Language Processing (NLP) and Generative AI. In this role, you will bridge the gap between complex algorithmic research and scalable production systems. You will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams.
*This is a permanent role expected to be onsite 5 days a week.
Primary Responsibilities:
· Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs.
· Query and analyze complex transactional data using SQL.
· 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).
· 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 in complex monitoring problems.
· Provide accurate, timely, complex, and sophisticated data analysis.
· Train and optimize NLP/LLM models and create Python based pipelines.
· Build cloud native solutions on AWS.
Minimum Qualifications:
· Ability to obtain and maintain a Public Trust clearance is required.
· Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience.
· Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering.
· Experience with Generative AI and Large Language Models (LLMs)
· Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
· Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
· Fluent 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), and AWS EC2.
· Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow).
· 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.
· Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files.
· Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.).
· Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks.
· 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.
· Excellent analytical skills to identify potential risks and propose effective solutions.
· Ability to clean and process large amounts of real-world data.
Desired Qualifications:
· Prior experience delivering IT projects within federal or state government sectors is highly preferred.
· Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive).
· Experience in parallel processing such as GPU programming with CUDA.
· Experience with Natural Language Processing for anomaly detection.
· Experience using markup languages such as LaTeX, HTML, etc.
· Experience with Mathematica.