1

Natural Language Processing Jobs in Florida (NOW HIRING)

Machine learning algorithms, including natural language processing (NLP) techniques; * Foundation in statistical methods such as hypothesis testing, confidence intervals, and regression analysis;

Understanding of natural language processing (NLP) concepts including text classification, named entity recognition, and sentiment analysis. * Exposure to vector databases (Pinecone, ChromaDB ...

Required : • building machine learning algorithms • data engineering • natural language processing (NLP) • large language models (LLMs) and any other required AI skills • Technical coding ...

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 ...

... natural language processing (NLP), and signal processing techniques to develop multi-domain analytical capabilities in support of UAS/sUAS threat analysis. Qualifications : Required : • Bachelor ...

next page

Showing results 1-20

Natural Language Processing information

See Florida salary details

$10

$19

$36

How much do natural language processing jobs pay per hour?

As of Jun 9, 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 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 kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

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.

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 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:
Infographic showing various Natural Language Processing job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $39,596 per year, or $19 per hour.
Quantitative Research Engineer - PhD Intern (US)

Quantitative Research Engineer - PhD Intern (US)

Citadel

Miami, FL

$4K - $5K/wk

Other

Posted 28 days ago


Job description

Job Description
At Citadel Securities, Quantitative Research Engineers work closely with Quantitative Researchers to develop and implement automated trading system software solutions. These solutions utilize advanced statistical and quantitative techniques to tackle complex financial challenges. We seek candidates with a proven track record of excellence in their field and a strong desire to apply their advanced software engineering skills to systematic investing.
As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.
Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.
Your Objectives
  • Design, develop, test, and deploy elegant software solutions for automated trading systems
  • Partner with the Quantitative Research team to define priorities and deliver custom software solutions
Your Skills & Talents
  • PhD degree in computer science, mathematics, statistics, physics, or another highly quantitative field
  • Strong programming skills with proficiency in one or more programming languages, including C++, Python, and R
  • A deep passion for technology, software development, and mathematics
  • Strong computer science fundamentals and software development experience
  • Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
  • Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions
  • Strong written and verbal communications skills

Opportunities available in Miami and New York.
In accordance with applicable law, the base salary range for this role is $4,800 to $5,300 per week.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .