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Natural Language Processing Engineer Jobs in Florida

University of Florida

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Work in an interdisciplinary team of informaticists, programmers, information quality experts ... Experiences in natural language processing, large language models, machine learning (deep learning ...

(unknown company)

Data Scientist

Orlando, FL · On-site

... using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib ... Experience with ElasticSearch, information/document retrieval, natural language processing is a ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

... using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib ... Experience with ElasticSearch, information/document retrieval, natural language processing is a ...

Tata Consultancy Service Limited

Senior Engineer

Tampa, FL · On-site

$140K - $162K/yr

Angular Developer Must Have Technical/Functional Skills • 8+ Years of experience with Angular ... natural language processing, and computer vision, tailored to specific needs • Evaluate and ...

AceStack LLC

IVR/Chat Developer (Amelia)

Tampa, FL · On-site

$109K - $142K/yr

IVR/Chat Developer (Amelia) Location: San Antonio TX/Plano TX/Phoenix AZ/Tampa FL/Chesapeake VA ... Strong background in Natural Language Processing, intent recognition, and entity extraction. • ...

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Natural Language Processing Engineer information

See Florida salary details

$37K

$68.8K

$106.5K

How much do natural language processing engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for natural language processing engineer in Florida is $68,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $77,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Florida? The most popular types of Natural Language Processing Engineer jobs in Florida are:
What are popular job titles related to Natural Language Processing Engineer jobs in Florida? For Natural Language Processing Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in Florida look for? The top searched job categories for Natural Language Processing Engineer jobs in Florida are:
Natural Language Processing Engineer jobs near you
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 24 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Hartford, CT
Duration: 6 months
skill id: 10666754
Required Qualifications
5+ years of overall software delivery experience.
3+ years of chatbot development experience using IBM WatsonX Orchestrate or similar conversational AI platforms, such as:
Google Dialogflow CX
LivePerson
Amazon Lex
Kore.ai
3+ years of experience training and improving intent recognition, including curating and refining training datasets.
3+ years of experience applying Conversational AI best practices, including:
Natural Language Processing (NLP)
Training data design and optimization
1+ year of experience with:
CI/CD pipelines
Git version control
Unit testing
Source code management
1+ year of knowledge in cloud development and deployment principles.
1+ year of backend (server-side) development experience using:
Java
Node.js
Python
1+ year of multi-language development experience using:
JavaScript
TypeScript
1+ year of experience working in an Agile environment, with understanding of:
DevOps practices
End-to-end software development lifecycles
Business requirements translation
Preferred Qualifications
Prior experience with:
IBM Watson Speech-to-Text
IBM Watson Discovery
Similar voice processing or information retrieval technologies
Familiarity with SSML (Speech Synthesis Markup Language) for text-to-speech (TTS) refinement.
Experience integrating unstructured data sources-such as document repositories-into conversational agents using semantic embeddings or advanced search techniques.
Skills: Digital : Python ~ Digital : Natural Language Processing (NLP)~Digital : Node.js ~ Digital : DevOps ~ Foundation : JavaScript
Experience Required: 10 & Above, Project Code :

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