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Natural Language Processing Jobs in Florida (NOW HIRING)

STEMboard

Data Scientist - TS/SCI

Tampa, FL

They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine ...

STEMboard

Data Scientist - TS/SCI

Tampa, FL · On-site

They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine ...

Citadel

$4.5K - $5.8K/wk

Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field

New

Socket.dev

Data Scientist

Tampa, FL · On-site

$110 - $170/hr

They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine ...

1872 Consulting

Data Scientist (FL)

Tampa, FL · On-site

The company's focus, and your focus, will be on task automation, data analytics, deep learning, computer vision, and natural language processing. Requirements * 2+ years of relevant experience and/or ...

1872 Consulting

Data Scientist (FL)

Tampa, FL · On-site

The company's focus, and your focus, will be on task automation, data analytics, deep learning, computer vision, and natural language processing. Requirements * 2+ years of relevant experience and/or ...

ConnexAI

Senior SDR Manager

Miami, FL · On-site

Its AI Research Lab, established in 2017, develops best-in-class speech recognition, natural language processing, and voice synthesis models that power ConnexAI's suite of enterprise-grade ...

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How much do natural language processing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for natural language processing in Florida is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $22.12 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are popular job titles related to Natural Language Processing jobs in Florida?

For Natural Language Processing jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Florida look for?

The top searched job categories for Natural Language Processing jobs in Florida are:

What cities in Florida are hiring for Natural Language Processing jobs?

Cities in Florida with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $39,596 per year, or $19 per hour.

Sr. AI/ML Engineer (LLM)

Bomnin Automotive Group

Miami, FL

Full-time

Re-posted 27 days ago

Job description

Job description

Company Description

Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture.

Role Description

This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company’s software offerings.

Major Areas of Responsibility

  • Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features.
  • Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.
  • Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions.
  • Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses.
  • Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.
  • Work on the customization and fine-tunning of models to optimize performance for specific use cases.
  • Develop, test, and deploy LLM-based services in production environments.
  • Provide AI/ML technical leadership and mentorship to other engineers on the team.
  • Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.