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Python Trainer Jobs in Florida (NOW HIRING)

Pyramid Consulting, Inc.

AI/ML Engineer

Sunrise, FL · Hybrid

$50 - $54/hr

... Python libraries like NumPy, Pandas, and Scikit-learn. * Should understand core ML concepts: regression, classification, clustering, ensemble models, feature engineering, model training, and ...

UAB

ADVANCED ANALYTIC ENGINEER

Tampa, FL · On-site

$100K/yr

Develops, deploys, and maintains data pipelines using tools such as Python and Airflow. Designs and ... Provides training and guidance on analytics systems, predictive models, and deliverables, as needed.

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How much do python trainer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python trainer in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What is a Python Trainer job?

A Python Trainer is a professional responsible for teaching Python programming to students, professionals, or corporate teams. They design course materials, conduct training sessions, and provide hands-on guidance with coding exercises. Their role may involve teaching fundamental concepts, advanced topics, and real-world applications to help learners improve their programming skills.

What career growth opportunities are available to Python Trainers?

Python Trainers often have multiple paths for career advancement, such as moving into senior training roles, curriculum development, or training management positions. With experience, some trainers expand into corporate consulting, become technical authors, or develop online courses for a wider audience. Additionally, advanced certifications or expertise in related technologies (like data science or machine learning) can open doors to specialized training roles or transition into software development or engineering. Continuous professional development is encouraged, as the tech field evolves rapidly and values educators who stay current with industry trends.

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

To thrive as a Python Trainer, you need deep expertise in Python programming, instructional design, and a solid educational background in computer science or a related field. Familiarity with development environments, learning management systems (LMS), and certifications such as Python Institute’s PCAP or PCEP are highly valuable. Outstanding communication, patience, and the ability to tailor teaching methods to diverse learners set successful trainers apart. These competencies ensure trainers can effectively convey technical concepts, support learners' diverse needs, and facilitate real-world skill development.

What are the most commonly searched types of Python Trainer jobs in Florida? The most popular types of Python Trainer jobs in Florida are:
What are popular job titles related to Python Trainer jobs in Florida? For Python Trainer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Trainer jobs in Florida look for? The top searched job categories for Python Trainer jobs in Florida are:
Python Trainer jobs near you
Infographic showing various Python Trainer job openings in Florida as of June 2026, with employment types broken down into 61% Full Time, 34% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Senior MLOps Technical Lead

THE TILTED CIRCLE LLC

Sunrise, FL • Hybrid

Other

Posted 2 days ago

Job description

Position: Senior MLOps Technical Lead
Location: Sunrise, FL Hybrid (3-4 days onsite / week)
Duration: Contract

Skill Requirements
1. Advanced Proficiency In Ml Ops, Including Mlflow, Kubeflow Pipelines, Tfx, And Metaflow.
2. Advanced Proficiency In Devops Tools Such As Terraform, Aws Cloudformation, Ansible, Jenkins, Gitlab Ci/Cd, Circleci, And Github Actions.
3. Advanced Proficiency In Python For Automation, Scripting, And Ml Pipeline Development.
4. Advanced Proficiency In Monitoring And Logging Tools: Prometheus, Grafana, Elk Stack, Fluentd.
5. Advanced Proficiency In Version Control Systems: Git, Github, Gitlab, Bitbucket.
6. Solid Understanding Of Cloud Infrastructure And Deployment Strategies.

 

Job Description:

This role is accountable for driving advanced machine learning operations and automation within development projects. The individual leverages expertise in ML Ops, DevOps, and Python to architect, implement, and optimize robust ML pipelines, ensuring efficient model deployment, monitoring, and scalability. They provide advanced proficiency in integrating cloud infrastructure and CI/CD practices, supporting the successful delivery of complex solutions.

Key Responsibilities
1. Implement and optimize ML pipelines using MLflow, Kubeflow Pipelines, and TFX, enabling automated model training, validation, and deployment.
2. Integrate DevOps practices with Python scripting to automate infrastructure provisioning via Terraform, AWS CloudFormation, and Ansible for scalable ML environments.
3. Configure and maintain CI/CD workflows using Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions to streamline code integration and deployment for ML projects.
4. Monitor and analyze ML system performance using Prometheus, Grafana, ELK Stack, and Fluentd, ensuring reliability and rapid issue resolution.
5. Apply advanced proficiency in Git, GitHub, GitLab, and Bitbucket for source code management and collaboration within the development team.
6. Participate in technical reviews, contribute to process compliance, and support feasibility studies by evaluating technical alternatives and risks for ML solutions.
7. Prepare and submit project status reports, collaborating with internal stakeholders to define deliverables and minimize escalation risks.

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