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Python Llm Jobs in Sarasota, FL (NOW HIRING)

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How much do python llm jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python llm in Sarasota, FL is $56.50, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $64.18 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Sarasota, FL? For Python Llm jobs in Sarasota, FL, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Sarasota, FL look for? The top searched job categories for Python Llm jobs in Sarasota, FL are:
What cities near Sarasota, FL are hiring for Python Llm jobs? Cities near Sarasota, FL with the most Python Llm job openings:

Machine Learning Engineer

Roper Technologies

Sarasota, FL • On-site

Full-time

Re-posted 6 days ago


Roper Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

55th of 242 rated software companies


Job description

Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses.
This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy.
We are looking for hands-on engineers who are excited about building production-grade AI systems-not just prototypes-and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired.
What You'll Do
AI & ML System Development
  • Design, build, and deploy machine learning models and AI systems in production environments
  • Develop components such as:
    • Model inference services
    • Data and feature pipelines
    • Complex recommendation and matching services
    • Vision based analysis systems
    • Evaluation and monitoring pipelines
  • Optimize models for performance, reliability, and cost efficiency

Intelligent Agents & Applied AI
  • Contribute to the development of AI agents and multi-step workflow automation systems
  • Build systems that integrate with enterprise tools and APIs
  • Implement tool-use frameworks, memory mechanisms, and evaluation loops
  • Experiment with LLMs, foundation models, and fine-tuning approaches
  • Help translate AI research advances into practical, scalable solutions

Engineering Excellence
  • Write high-quality, maintainable, and well-tested code
  • Participate in architecture design and technical reviews
  • Contribute to CI/CD pipelines and MLOps workflows
  • Implement observability and monitoring for AI systems in production
  • Follow security, compliance, and responsible AI best practices

Cross-Functional Collaboration
  • Partner with product, data engineering, and infrastructure teams
  • Help identify high-impact AI use cases within portfolio companies
  • Support integration of shared AI components into business applications
  • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders

Qualifications
We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly.
Required
  • 3+ years of experience in software engineering, data science, or machine learning (more for senior roles)
  • Experience building and deploying production software systems
  • Strong programming skills in Python (experience in additional languages is a plus)
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Understanding of modern AI architectures, including LLM-based systems
  • Experience working with cloud environments (AWS, Azure, or GCP)
  • Strong problem-solving skills and attention to detail

Preferred
  • Experience with:
    • Fine tuning, experimentation, etc.
    • Rapid development using AI tools
    • Agent frameworks and orchestration tools
    • Distributed systems or microservices architecture
    • Model monitoring and evaluation frameworks
  • Experience building reusable libraries or shared infrastructure
  • Exposure to SaaS products or enterprise software environments
  • Background in optimizing models for performance and cost

Leveling & Growth
We are hiring across multiple experience levels:
  • Intermediate ML Engineer - Contributes independently to projects, builds production features, collaborates cross-functionally.
  • Senior ML Engineer - Owns complex systems end-to-end, drives architectural decisions, mentors others.
  • Principal / Staff ML Engineer - Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure.

Level and compensation will be determined based on experience and demonstrated expertise.
What We Value
  • Strong engineering fundamentals
  • Practical, impact-driven AI development
  • Curiosity and willingness to experiment responsibly
  • Ownership mindset and bias toward execution
  • Ability to balance innovation with reliability

Why Join Roper
  • Work on high-impact AI systems across a diverse portfolio of leading software businesses
  • Build reusable infrastructure that scales across industries
  • Collaborate with experienced engineering and executive leadership
  • Shape the next generation of intelligent enterprise software

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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