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Python Ai Jobs in Tampa, FL (NOW HIRING)

Python Developer IV

Saint Petersburg, FL · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Design, develop, and maintain robust backend services and APIs using Python and Django

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Showing results 41-60

Python Ai information

See Tampa, FL salary details

$12

$53

$78

How much do python ai jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ai in Tampa, FL is $53.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.58 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Can you do AI with Python?

Python AI refers to roles involving the development and implementation of artificial intelligence using Python programming. These jobs typically require knowledge of machine learning libraries like TensorFlow or PyTorch, data analysis skills, and experience with algorithms. Python's simplicity and extensive ecosystem make it a popular choice for AI development in various industries.
Infographic showing various Python Ai job openings in Tampa, FL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $110,965 per year, or $53.3 per hour.

Java Lead Software Engineer - Kafka

JPMorgan Chase & Co.

Tampa, FL • On-site

$140 - $190/hr

Other

Re-posted 10 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Lead and inspire a team of entry-level to mid-level software engineers, fostering a culture of collaboration, innovation, and excellence
  • Oversee technical design, architecture, and implementation to ensure high-quality, scalable solutions
  • Produce architecture and design artifacts for complex applications, ensuring that design constraints are met during software code development
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on Software Engineering concepts and 5+ years applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Proficiency in Java, REST, and microservices, with experience building event-driven microservices and Kafka streaming
  • Experience with Spring Framework, Spring Boot, and public or private cloud infrastructure
  • Proven record of providing end-user support with excellent problem-solving abilities
Preferred qualifications, capabilities, and skills
  • Exposure to AI - using python, AI, Copilot in VScode/Intellij
  • knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc)
  • knowledgeabout messaging – Kafka
  • knowledge aboutRelational/NoSQL databases
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