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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 ...

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 ...

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 ...

RIT Solutions, Inc.

SA - Data Scientist

Tampa, FL · On-site

... and SpaCy • Create custom NLP algorithms and annotators to evaluate medical record data • Create custom tools to enable analysts to perform data research • Identify and analyze user ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

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 ...

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 ...

CYNET SYSTEMS

Gen AI Technical Lead

Raritan, NJ · On-site

$55 - $60/hr

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

K Anand Corporation

AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... spaCy, Hugging Face Transformers, NLTK, SentenceTransformers LangChain, LlamaIndex, OpenAI SDK Agentic AI (Good to Have) LangGraph, AutoGen, CrewAI Data & SQL Oracle, MySQL, Nice to have skills ...

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How much do spacy jobs pay per year?

As of Sep 8, 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 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.

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 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.
More about Spacy jobs

What are the most commonly searched types of Spacy jobs?

The most popular types of Spacy jobs are:

What job categories do people searching Spacy jobs look for?

The top searched job categories for Spacy jobs are:

Spacy jobs near you
Infographic showing various Spacy job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 1% Part Time, and 12% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior Data Scientist

Omm IT Solutions

Ellicott City, MD • On-site

Contractor

Re-posted 12 days ago

Job description

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PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • It is 100% onsite position in Woodlawn, MD.<\/b>
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  • Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.<\/b><\/span><\/span><\/span>
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  • Candidate must be able to obtain and maintain a public trust clearance<\/b>
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  • <\/b><\/span><\/span> <\/b><\/span><\/span><\/span>Interviews will be scheduled quickly for early next week. There will only be one round of interview<\/b><\/span><\/span><\/span>
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    Position Description:<\/b><\/span><\/span><\/u>
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    • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
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    • Well versed in SQL and analyzing trends and transactional data.
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    • Understand real world challenges and develop automated data solutions
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    • Develop, test, and deploy new techniques for NLP understanding
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    • Scalable development\/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
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    • Train and optimize NLP\/LLM models and create Python based pipelines
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    • Experience building cloud native solutions on AWS
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    • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
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    • Advise on the methods and data needed and\/or available to evaluate the (intelligence or data) problem.
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    • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
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    • Provide accurate, timely, complex, and sophisticated data analysis.
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      Key Required Skills:<\/b><\/span><\/span><\/u>
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      • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
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      • Experience with Generative AI and Large Language Models (LLM)
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      • Excellent Communication skills.
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        Requirements<\/h3>\n
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        Skills Requirements:<\/b><\/span><\/span><\/span>
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        Basic Qualification:<\/b><\/span><\/span><\/span><\/u>
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/span><\/span><\/span>
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        • 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.<\/span><\/span><\/span>
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>
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          Required Skills:<\/b><\/span><\/span><\/span><\/u>
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          • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.<\/span><\/span><\/span>
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          • Experience with Generative AI and Large Language Models (LLM)<\/span><\/span><\/span>
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          • Evidence of true self\-starter and operating independently.<\/span><\/span><\/span>
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          • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks<\/span><\/span><\/span>
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          • Knowledge of TensorFlow, PyTorch, Pandas, scikit\-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.<\/span><\/span><\/span>
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          • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and\/or experience with semantic search.<\/span><\/span><\/span>
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          • 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.<\/span><\/span><\/span>
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          • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.<\/span><\/span><\/span>
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          • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.<\/span><\/span><\/span>
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          • Ability to clean and process large amounts of real\-world data.<\/span><\/span><\/span>
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          • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.<\/span><\/span><\/span>
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          • Excellent Communication skills.<\/span><\/span><\/span>
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          • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)<\/span><\/span><\/span>
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          • Excellent analytical skills to identify potential risks and propose effective solutions.<\/span><\/span><\/span>
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          • 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.<\/span><\/span><\/span>
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            Desired Skills:<\/b><\/span><\/span><\/span><\/u>
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            • Prior experience with federal or state governments IT projects.<\/span><\/span><\/span>
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            • Industry experience preferred<\/span><\/span><\/span>
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            • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.<\/span><\/span><\/span>
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            • Experience working in an analytical research environment.<\/span><\/span><\/span>
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            • Experience in parallel processing such as GPU programming with CUDA<\/span><\/span><\/span>
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            • Experience with Mathematica<\/span><\/span><\/span>
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            • Experience using markup languages such as LaTeX, HTML, etc.<\/span><\/span><\/span>
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            • Experience with Natural Language Processing for anomaly detection<\/span><\/span><\/span>.
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