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Spacy Jobs (NOW HIRING)

Required : • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy, etc.) • Experience with OCR tools (e.g., Tesseract, AWS Textract, Google Vision) • Strong ...

Requirements Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow). Strong understanding of transformer architectures and generative models like GPT or BERT. Experience ...

Engineer

Owings Mills, MD · On-site

$80K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. 6.Need to have knowledge of software development methodologies, such as Agile or Scrum. 7.

Senior Software Engineer

Wayne, PA · On-site

$135K - $165K/yr

Hands-on experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK, scikit-learn). * Familiarity with healthcare vocabularies (ICD-10, CPT, HCPCS, DRG, SNOMED-CT). * Strong experience ...

New

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 ...

Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs. * Strong skills in developing GraphRAG ...

Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and unsupervised problems. As part of the team, you are free to use the approach you see ...

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$55K

$142K

$195K

How much do spacy jobs pay per year?

As of Aug 16, 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.
More about Spacy jobs

What are the most commonly searched types of Spacy jobs?

The most popular types of Spacy jobs are:

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.

W2 Only :: AI Technical Architect :: Raritan, NJ (Hybrid) :: 14+ years Exp. Must.

Noblesoft Technologies

Raritan, NJ • On-site

$67.75 - $82/hr

Contractor

Re-posted 7 days ago


Job description

Role – AI Technical Architect
W2 Contract 

Location – Raritan, NJ(Hybrid)


Details:
8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.
Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.
 Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).
 Machine Learning & AI: 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 in GCP/Data Engineering/DevOps
 
The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.
Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving