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Python Ml Developer Jobs in Plantation, FL (NOW HIRING)

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$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python ml developer in Plantation, FL is $58.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.15 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Plantation, FL?

For Python Ml Developer jobs in Plantation, FL, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Plantation, FL look for?

The top searched job categories for Python Ml Developer jobs in Plantation, FL are:

What cities near Plantation, FL are hiring for Python Ml Developer jobs?

Cities near Plantation, FL with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Plantation, FL as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $121,115 per year, or $58.2 per hour.

Senior Site Reliability Engineer - AI & Automation.

Miami, FL • On-site

Neshent Technologies
11 - 50 employees
Learn more about Neshent Technologiesexternal

$53.25 - $70.75/hr

Full-time

Posted 9 days ago

Job description

Primary Responsibilities

*Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
*Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
*Develop automation and integrations using Python.
*Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
*Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
*Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
*Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
*Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
*Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
*Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

*5+ years of SRE, DevOps, or Site Reliability Engineering experience.
*Strong Python development skills for automation, tooling, and integrations.
*Experience with AI agents, LLMs, and agentic AI frameworks.
*Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
*Hands-on experience with AWS, Azure, and/or GCP.
*Experience with Terraform, CloudFormation, and/or CDK.
*Strong production support and incident response experience.
*Knowledge of AI/ML, prompt engineering, and operational AI automation.
*Strong communication, stakeholder management, and mentoring skills.
*Ability to work effectively in a 24x7 operational environment.

Preferred Skills

*Experience with Adobe Experience Manager (AEM).
*Experience supporting CMS platforms and digital applications.
*Knowledge of incident management, runbook automation, and anomaly detection.
*Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.

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