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Natural Language Processing Engineer Jobs in Florida

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Natural Language Processing Engineer information

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$37K

$68.8K

$106.5K

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

As of Aug 14, 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 as a natural language processing engineer?

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
Infographic showing various Natural Language Processing Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $68,764 per year, or $33.1 per hour.

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Posted 10 days ago

Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.

Apply