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Python Ml Developer Jobs in Irving, TX (NOW HIRING)

Python Developer

Addison, TX · On-site

$48.75 - $67/hr

Python, ML, Agile tools Experience: 5 to 8+ Roles & Responsibilities 5+ years of experience as developer in Python technologies including Machine Learning Experience in building and deploying ...

Strong Python programming skills * Strong understanding of Machine Learning and Deep Learning ... Build AI/ML applications using Python. * Perform data preprocessing and feature engineering.

Python, TypeScript, LangChain to name a few. Must Have Required skills * AI / ML experience BEFORE 2023 (non-negotiable) * Strong hands-on coding engineer (not just architecture or MLOps) * GitHub ...

Required : • 5+ years of hands on with ML technologies. • Expert Python and strong experience ... • Strong SQL/data engineering experience; proficiency with Spark/Databricks. • Cloud ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Collaborate with Data Scientists, ML Engineers, and Product teams to deliver AI solutions. * Deploy and monitor GenAI applications in AWS, Azure, or GCP . Required Skills * Strong Python development ...

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks ...

Title- ML Engineer Location- Plano, TX Fully Onsite (LOCALS ONLY) Type- Contract- C2C Works ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work ... Build AI/ML solutions using Python and popular ML frameworks. * Work with structured and ...

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud. * Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly ...

Job Title: ML Engineer Location: Plano, TX (onsite) Need local candidates only, F2F interview ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and ... Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform , with scripting experience ...

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and ... Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform , with scripting experience ...

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Python Ml Developer information

See Irving, TX salary details

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How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Irving, TX is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 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 Irving, TX?

For Python Ml Developer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Irving, TX look for?

The top searched job categories for Python Ml Developer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Python Ml Developer jobs?

Cities near Irving, TX with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Irving, TX as of September 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $117,085 per year, or $56.3 per hour.

Python Developer

Addison, TX • On-site

$48.75 - $67/hr

Full-time

Posted 7 days ago


Job description

Job Description
Must Have Technical/Functional Skills
 
Primary: Python development
Secondary: Python, ML, Agile tools
Experience: 5 to 8+
 
Roles & Responsibilities
 
5+ years of experience as developer in Python technologies including Machine Learning
Experience in building and deploying enterprise applications for document management process that includes OCR, Deep Learning, etc.
Solid experience in Logging, Caching, Transaction Management, Multi-Threading/Concurrency,
Performance Tuning, and Monitoring aspects of the applications.
Solid design documentation skills using UML
Understanding and usage of DevOps processes for the build and deployment.
Excellent analysis and troubleshooting skills
Agile Project Process Knowledge.
A positive attitude, excellent written, and verbal communication skills.
Ability to develop, review and comment on written technical documentation.
Process oriented and detailed oriented.
Ability to work in a team in a fast-paced project environment.
Willingness to be accountable for meeting all deliverable dates for task assignments.
Knowledge of banking industry processes.