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Azure Ml Jobs in Florida (NOW HIRING)

Virtusa Corporation

Lead Software Engineer

Tampa, FL · On-site

... ML Engineering / Applied AI Strong programming in Python Hands-on experience with LLMs (OpenAI, Azure OpenAI, etc.) Experience with transformers, embeddings, and NLP pipelines Familiarity with RAG ...

Virtusa Corporation

Senior Consultant

Tampa, FL · On-site

... ML Engineering / Applied AI Strong programming in Python Hands-on experience with LLMs (OpenAI, Azure OpenAI, etc.) Experience with transformers, embeddings, and NLP pipelines Familiarity with RAG ...

BankUnited

AI/ML Solutions Engineer

Miami Lakes, FL · On-site

Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) required * Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required

TQL

AI Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

Azure certifications (Solutions Architect, Azure AI Engineer) preferred* 7-12+ years of experience in AI/ML engineering, cloud architecture or enterprise software engineering* Proven experience ...

Total Quality Logistics

AI Architect

Tampa, FL · On-site

Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7-12+ years of experience in AI/ML engineering, cloud architecture or enterprise software engineering * Proven experience ...

Total Quality Logistics

AI Architect

Tampa, FL · On-site

$125 - $150/hr

Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7‑12+ years of experience in AI/ML engineering, cloud architecture or enterprise software engineering * Proven experience ...

Neshent Technologies

Azure SQL Database Administrator

Miami, FL · On-site

$45.50 - $56.75/hr

Apply AI/ML tools and techniques for database performance optimization, anomaly detection, query ... Strong hands-on experience with Azure SQL Database. * 3+ years of experience with Terraform for ...

New

Neshent Technologies

Azure SQL Database Administrator

Miami, FL · On-site

$47.50 - $59.25/hr

Apply AI/ML tools and techniques for database performance optimization, anomaly detection, query ... Strong hands-on experience with Azure SQL Database. * 3+ years of experience with Terraform for ...

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Azure Ml information

What is an Azure ML?

An Azure ML job refers to a machine learning task executed within Microsoft Azure Machine Learning, a cloud-based platform for building, training, and deploying ML models. Jobs can include data preprocessing, model training, hyperparameter tuning, and inference deployment. Users can run jobs using compute resources such as Azure Machine Learning compute clusters or virtual machines. Jobs are typically orchestrated using Azure ML Pipelines, SDKs, or Studio for automation and reproducibility.

What does an Azure ML do?

Professionals in Azure ML roles are typically responsible for designing and deploying machine learning models, pre-processing and analyzing large datasets, and monitoring model performance in Azure’s cloud environment. Daily tasks often include writing and optimizing code, integrating services and APIs, automating ML pipelines, and collaborating closely with data scientists, engineers, and business analysts. You may also be involved in troubleshooting production issues, conducting research to improve algorithms, and documenting your workflows. This role requires adaptability and good organizational skills to manage multiple projects in a dynamic, team-oriented setting.

What are the key skills and qualifications needed to thrive in the Azure ML position?

To thrive as an Azure ML professional, you need a strong background in machine learning, data science, and programming (commonly Python or R), often supported by a relevant degree or certifications such as Microsoft Certified: Azure AI Engineer Associate. Experience with Azure Machine Learning Studio, cloud computing environments, workflow orchestration, and automation tools is essential. Effective communication, problem-solving abilities, and a collaborative mindset further distinguish top candidates. These skills are crucial to successfully designing, deploying, and managing scalable AI solutions on Azure's cloud platform while working effectively with data teams and stakeholders.

What are popular job titles related to Azure Ml jobs in Florida?

For Azure Ml jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Azure Ml jobs in Florida look for?

The top searched job categories for Azure Ml jobs in Florida are:

Azure Ml jobs near you
Infographic showing various Azure Ml job openings in Florida as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

GENAI at Tampa FL _Hybrid _Local Only

Volto USA

Tampa, FL • On-site

Contractor

Re-posted 8 days ago

Job description

Role Name - GenAI Engineer

Location: Tampa, FL Hybrid - 2 days onsite 3 days Remote

6+ month Contract

ROLE_DESCRIPTION -

GenAI Engineer

We are looking for a versatile Full-Stack AI Engineer proficient in backend and frontend development with strong experience in AI/ML technologies. The ideal candidate will work closely with cross-functional teams to develop scalable web applications featuring a Node.js and Python backend, React-based frontend, and AI/ML-powered functionalities leveraging tools  like Scikit-learn, TensorFlow, Azure ML, and Langchain. The role requires a passion for cutting-edge machine learning integrations and delivering high-quality, performant software. AI System Key Responsibilities Backend Development:

Design, develop, and maintain scalable backend services and APIs primarily using Node.js with TypeScript and Python.

Integrate AI/ML models and workflows into backend systems to enable intelligent application features.

Ensure robust application architecture, security, and performance optimization.

Frontend Development:

Build responsive, user-friendly interfaces using React and TypeScript following best  practices and design principles.

Collaborate with UX/UI designers and product teams to deliver seamless user experiences.

Implement state management, routing, and component libraries to support complex application workflows.

AI/ML Integration:

Develop and deploy machine learning models using Scikit-learn and TensorFlow, with cloud-based orchestration through Azure ML.

Integrate AI functionalities using frameworks like Langchain and JavaScript-based libraries into web applications.

Collaborate with data scientists and ML engineers to operationalize AI solutions in production-grade applications.