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Python Ml Developer Jobs in Florida (NOW HIRING)

Black Cape

Python Data Engineer

Tampa, FL · On-site

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ...

Black Cape

Python Data Engineer

Tampa, FL · On-site

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ...

Kforce Technology Staffing

AI/ML Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with data engineering tools and ETL processes * Knowledge of SQL and database technologies (SQL Server ...

Virtusa

Agentic AI developer

Tampa, FL · On-site

$114K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * 7-10+ years of experience developing scalable applications, including AI/ML systems * Strong expertise in Python ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... Collaborate with software engineering teams to integrate trained models into Java/Python-based ...

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Python Ml Developer information

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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Florida? For Python Ml Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Florida look for? The top searched job categories for Python Ml Developer jobs in Florida are:
What cities in Florida are hiring for Python Ml Developer jobs? Cities in Florida with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

$46.50 - $64.25/hr

Contractor

Re-posted 6 days ago

Job description

Local to NY/NJ or Dallas only!
Role Descriptions: ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
Essential Skills: ESSENTIAL SKILLS:1.5+ years of software development in one or more languages (Python| C/C++| Go| Java); strong hands-on experience building and maintaining large-scale Python applications preferred.2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
Desirable Skills:
Keyword:
Skills: Digital : Python~C++
Experience Required[RATE REDACTED], Project Code :

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