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Natural Language Processing Jobs in Florida (NOW HIRING)

HNTB

Sr AI Specialist, Team Lead

Tallahassee, FL · On-site

... natural language processing, computer vision, or predictive analytics solutions. • Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment ...

ManTech

Data Scientist

Fort Walton Beach, FL

Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights. * Designing and automating processes to facilitate the manipulation and analysis ...

HNTB

Sr AI Specialist, Team Lead

Tallahassee, FL

Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Skills required include, but are not limited to: * building machine learning algorithms * data engineering * natural language processing (NLP) * large language models (LLMs) and any other required AI ...

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Natural Language Processing information

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$10

$19

$36

How much do natural language processing jobs pay per hour?

As of Jul 3, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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.

What is a Natural Language Processing job?

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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Florida? The most popular types of Natural Language Processing jobs in Florida are:
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:
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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
Java Full Stack Developer

Java Full Stack Developer

Intercontinental Exchange Holdings, Inc.

Jacksonville, FL

$48.75 - $62.75/hr

Full-time

Posted 21 days ago

Job description

Overview

Job Purpose

We are seeking a Software Developer to join our innovative development team. In this role, you will contribute to the design and development of our applications while taking ownership of specific components and features.

Responsibilities

  • Design, develop, and maintain web applications using Java and Spring Boot for backend services and React for frontend development
  • Implement new features and enhancements to existing functionality with moderate guidance
  • Write clean, efficient, and maintainable code following best practices and team standards
  • Create and maintain RESTful APIs and integrate them with React-based frontends
  • Collaborate with cross-functional teams to understand requirements and deliver solutions
  • Troubleshoot, debug, and resolve technical issues in both backend and frontend systems
  • Participate in code reviews, providing and receiving constructive feedback
  • Write and maintain unit tests to ensure code quality and functionality
  • Contribute to database design and development using SQL and PostgreSQL
  • Stay current with relevant technologies and frameworks
  • Provide occasional guidance to junior developers

Knowledge and Experience

  • Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • 3+ years of professional software development experience
  • Java Programming: Deep knowledge of Java language, its ecosystem, and best practices
  • Experience with SQL, PostgreSQL and relational database concepts
  • Frontend Technologies: Proficiency in HTML, CSS, JavaScript, React, and TypeScript
  • Backend Development: Expertise in developing and maintaining backend services using Java, Spring, and related technologies
  • Strong understanding of RESTful services, microservices architecture, and database management
  • Familiarity with version control systems like Git, Azure DevOps, and CI/CD pipelines
  • AI & ML Fundamentals: Understanding of natural language processing (NLP), machine learning concepts, and how LLMs work
  • Prompt Frameworks & Techniques: Proficiency in methods such as zero-shot, few-shot, chain-of-thought, and knowledge-generation prompting
  • LLM API Experience: Hands-on work with major AI platforms (e.g., OpenAI, Anthropic, Google Gemini) to test and refine prompts
  • Prompt Optimization: Ability to craft precise, structured instructions that reduce hallucinations and improve accuracy
  • Data Preparation: Preparing and curating datasets for training or fine-tuning models
  • Performance Analysis: Measuring and improving AI output quality through A/B testing and iterative refinement

Preferred Experience 

  • Knowledge of cloud platforms (OCP, Apigee, AWS, GCP, or Azure)
  • Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions)
  • Knowledge of containerization concepts (Docker)
  • Familiarity with microservices architecture
  • Experience with automated testing frameworks
  • Understanding of responsive design and accessibility standards
  • Knowledge of performance optimization techniques 

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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