1

Python Ml Developer Jobs in Delray Beach, FL (NOW HIRING)

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Proficiency in Python and ML engineering best practices. Nice to Have * Experience with GCP services (e.g., Vertex AI, BigQuery, GCS). * Experience deploying ML/GenAI systems in production ...

Proficiency in Python and ML engineering best practices. Nice to Have * Experience with GCP services (e.g., Vertex AI, BigQuery, GCS). * Experience deploying ML/GenAI systems in production ...

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 ...

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 ...

Data & AI Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

... Spark, Python, or other similar technologies. * Implement strong data quality, lineage ... Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.

Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

next page

Showing results 1-20

Python Ml Developer information

See Delray Beach, FL salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python ml developer in Delray Beach, FL is $55.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.38 and $62.55 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 job categories do people searching Python Ml Developer jobs in Delray Beach, FL look for?

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

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

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

Infographic showing various Python Ml Developer job openings in Delray Beach, FL as of June 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,495 per year, or $55 per hour.

Senior Python / Machine Learning Engineer - Ft Lauderdale

Fort Lauderdale, FL • Hybrid

Full-time

Re-posted 29 days ago


Job description

Summary

The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions.

Key Responsibilities

  • Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
  • Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
  • Evaluate model performance and iterate to improve reliability and predictive outcomes
  • Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
  • Collaborate with cross-functional teams to embed ML solutions into production environments

Required Qualifications

  • 6-8 + years of experience in Python-based development roles and AI/ML
  • Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
  • Hands-on experience implementing machine learning and deep learning models in real-world applications
  • Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
  • Experience working with SQL or NoSQL databases
  • Familiarity with version control systems (e.g., Git) and collaborative development practices

Additional / Preferred Skills

  • Experience deploying models into production environments
  • Familiarity with scalable ML pipelines and MLOps concepts
  • Exposure to cloud-based AI/ML services (AWS, Azure, GCP)

Location

  • This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US. 
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.
  • To be considered for this position, candidates must reside in one of the following U.S. states: FL. 
  • Candidates residing outside these states are not eligible for consideration currently.  
  • Not open to 3rd party/C2C engagement