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Natural Language Processing Engineer Jobs in Florida

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Strong expertise in Natural Language Processing (NLP) and Generative AI (GenAI). * Proficiency with Python frameworks such as Django and Flask. * Extensive experience with machine learning libraries ...

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Work with Large Language Models (LLM) to enhance natural language processing capabilities. Write efficient and scalable Python scripts to support AI and machine learning projects. Collaborate with ...

... natural language processing, deep learning, anomaly detection, reinforcement learning). • ... engineering best practices. • Must be a US Citizen

Senior AI Engineer

Orlando, FL · On-site

$97K - $133K/yr

... natural language processing, deep learning, anomaly detection, reinforcement learning). • ... engineering best practices. • Must be a US Citizen

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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 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:
Software Engineer - Learning Engineering and Data (LEaD) Program

Software Engineer - Learning Engineering and Data (LEaD) Program

Millennium Management LLC

Miami, FL • On-site

Full-time

Posted 6 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Software Engineer - Learning Engineering and Data (LEaD) Program
Millennium is a large global alternative investment manager with a strong commitment to leveraging innovations in technology and data. As a member of our Miami based Learning Engineering and Data (LEaD) program, LEaD engineers can expect to get comprehensive training and work alongside technology mentors and leaders to develop and maintain applications and tools spanning front-office, middle-office and back-office functions in a dynamic and fast paced environment. LEaD engineers can expect to have exposure to investment teams and technologists in different parts of Millennium's organization while learning new skill sets through hands-on training and development opportunities.
Main Function:
Our technology teams are looking for Software Engineers with C++, Python or Java to design, implement, and maintain systems supporting our technology business functions. Candidate is expected to:
  • Work closely with technology teams to develop requirements and specifications for varying projects
  • Take part in the development and enhancement of the backend distributed system
  • Apply AI/ML ( deep learning, natural language processing, large language models ) to practical and comprehensive technology solutions

Qualifications/Skills Required:
  • 2-5 years of experience working with C++, Python, or Java
  • Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
  • Must be comfortable working in both Unix/Linux and Windows environments
  • Good understanding of various design patterns
  • Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
  • Solid communication skills
  • Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
  • Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:
  • Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
  • Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
  • Hands on experience building ML and data pipeline architectures
  • Understanding of distributed messaging systems
  • Experience with Docker/Kubernetes, micro services architecture in a cloud environment (AWS, GCP preferred)
  • Experience with relational and non-relational database platforms

What Millennium Management employees say

Pay

Hours and flexibility

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