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

Prescient Edge

ML Administrator

Doral, FL · On-site

Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud native ... D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

Required : • Strong software engineering and coding skills in Python, with experience contributing to production codebases • Experience developing and deploying ML models end-to-end -- from ...

Pwc

GenAI Python Systems Engineer-Manager

Miami, FL · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

Required : • Strong software engineering and coding skills in Python, with experience contributing to production codebases • Experience developing and deploying ML models end-to-end -- from ...

Accenture

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Minimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156.80 - $355/hr

Strong software engineering and coding skills in Python, with experience contributing to production codebases * Experience developing and deploying ML models end‑to‑end -- from research and ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Strong software engineering and coding skills in Python, with experience contributing to production codebases * Experience developing and deploying ML models end-to-end - from research and ...

Eightelevengroup

AI Engineer- Glen-Erik

Miami, FL · On-site

$96 - $110/hr

AI Engineer Miami, FL Hybrid Role $70 - $80 per hour ABOUT THE ROLE Our client, a leading ... Python * Build and operationalise AI/ML solutions within Databricks environments * Develop and ...

New

IBM

AI Forward Deployed Engineer

Coral Gables, FL · On-site

AI/ML expertise: Hands-on experience with AI/ML and Generative AI (LLMs, RAG), including building ... Strong coding skills (ideally in Python) and experience building production-grade systems on cloud ...

New

Accenture

Google Data Specialist

Miami, FL · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich RE

Data Scientist

Fort Lauderdale, FL · On-site

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Miami, FL

Python Ml Developer information

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$56

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How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 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 Miami, FL?

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

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

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

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

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

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Miami, FL as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.

ML Administrator

Prescient Edge

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago

Job description

Job Title
ML Administrator
Location
Doral, FL 33122 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
Security Clearance Required
None
Job Description
Prescient Edge is seeking a ML Administrator to support a Federal Government client.
Please note that the availability of this position is contingent upon contract award.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule.
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Description:
  • ML Administrator (Manage knowledge graph metadata integration, data governance, and cataloging in Databricks Unity Catalog.)
  • Proposed personnel possess the knowledge and capability to support Databricks platform administration and enterprise data architecture for DoD data-driven projects: Skilled in Databricks platform administration, including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.
  • Proficient in ETL pipeline development, Delta Lake architecture, and data Lakehouse optimization for DoD analytics and mission critical data workflows.
  • Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Databricks development and deployment.
  • Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
  • Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud native data services for large-scale data processing and analytics.
  • Shall manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
  • Shall implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
  • Shall submit the ML Model Governance & Deployment Report, summarizing model lifecycle management, performance tracking, and security compliance.

Job Requirements
Experience:
  • Minimum of 11+ years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
  • Databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration.
  • Data pipeline development (ETL/ELT), Delta Lake optimization, and AI/ML workflow integration.
  • SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines for automated deployment and governance.
  • Cloud security, role-based access control (RBAC), and compliance with DoD data policies across AWS, Azure, and GCP.

Education:
  • Master's degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field.

Security clearance:
  • Must be a US citizen and able to obtain a clearance.

Location:
  • Doral, Florida. (USSOUTHCOM Headquarters)

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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