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

Job Summary We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning ... The ideal candidate will have strong experience in Python, SQL, REST APIs, deep learning frameworks ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. • ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

AI ML Engineer

Plano, TX · On-site

$80K - $100K/yr

Role - AI ML Engineer Experience Required - 2+ Years Must Have Technical/Functional Skills Python, SQL, Java, Next.Js, Snowflake, Kafka Roles & Responsibilities Develop and deploy machine learning ...

The ideal candidate commands statistics, coding, and DevOps--and thrives on shipping secure, cost ... Proficient in Python (core), with working knowledge of Java or R * Outstanding communication and ...

We are seeking a ML Generalist to play a pivotal role in shaping the future of our consumer journey ... Proficient in Python, SQL, intermediate data engineering skill set with tools libraries or ...

Senior AI ML Engineer

Plano, TX · On-site

$100K - $120K/yr

Must Have Technical/Functional Skill We are looking for a highly skilled Python Developer with ... ML-driven use cases, focusing on performance and scalability. • Implement prompt workflows ...

Python Developer with Automotive Client exp

Plano, TX · Hybrid

$48.25 - $66.50/hr

Python Developer with Automotive Client exp Location: Plano, TX (Hybrid-Onsite) 12+ Month Contract ... Experience with building/training AI agents and ML model Thanks & Best Regards, Vishal Swami ...

Java with AI ML ENgineer

Dallas, TX · On-site

$51.25 - $70.25/hr

Develop and maintain backend microservices using Python, Java and Spring Boot * Build and integrate ... Collaborate with Data Scientists and MLOps teams to integrate ML Models * Implement NLP pipelines

Solid understanding of AI concepts and experience integrating AI/ML models or APIs (OpenAI, ChatGPT ... Experience with version control (Git), CI/CD pipelines, and DevOps practices. Ability to work in a ...

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Python Ml Developer information

See Denton, TX salary details

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How much do python ml developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python ml developer in Denton, TX is $54.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $62.45 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 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 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.

What are popular job titles related to Python Ml Developer jobs in Denton, TX? For Python Ml Developer jobs in Denton, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Denton, TX look for? The top searched job categories for Python Ml Developer jobs in Denton, TX are:
What cities near Denton, TX are hiring for Python Ml Developer jobs? Cities near Denton, TX with the most Python Ml Developer job openings:
AI/ML Engineer

AI/ML Engineer

Newt Global

Irving, TX • On-site

Other

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Job description

Job Summary

We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate will have strong experience in Python, SQL, REST APIs, deep learning frameworks such as PyTorch and TensorFlow, and hands-on expertise with Large Language Models (LLMs) including Anthropic Claude and Google Gemini. Experience building Retrieval-Augmented Generation (RAG) systems and production-grade AI applications is highly desirable.

Key Responsibilities
  • Design, develop, and deploy machine learning and generative AI solutions for business applications.

  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

  • Integrate and work with LLMs such as Anthropic Claude, Google Gemini, and other foundation models.

  • Develop RESTful APIs for AI/ML services and model inference.

  • Fine-tune, evaluate, and optimize machine learning and deep learning models.

  • Create scalable data pipelines for training, inference, and monitoring.

  • Collaborate with product managers, data engineers, and software developers to deliver AI-powered products.

  • Perform prompt engineering, model evaluation, and experimentation to improve AI system performance.

  • Monitor deployed models for accuracy, latency, and reliability.

  • Document AI solutions, architecture, and best practices.

Required Skills & Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

  • Strong programming experience in Python.

  • Proficiency in SQL and database design concepts.

  • Experience developing and consuming REST APIs.

  • Hands-on experience with PyTorch and/or TensorFlow.

  • Experience building and deploying machine learning models in production environments.

  • Strong understanding of NLP, deep learning, and transformer architectures.

  • Experience working with Large Language Models (LLMs), including Anthropic Claude and Google Gemini.

  • Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

  • Familiarity with Git, CI/CD pipelines, and software engineering best practices.

  • Strong problem-solving and analytical skills.

Preferred Qualifications
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.

  • Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Familiarity with Docker, Kubernetes, and MLOps practices.

  • Experience with model monitoring, observability, and AI evaluation frameworks.

  • Understanding of prompt engineering, agentic workflows, and multi-agent systems.

Nice to Have
  • Experience with fine-tuning open-source LLMs.

  • Knowledge of multimodal AI applications.

  • Exposure to model serving frameworks such as TorchServe, Triton, or vLLM.

  • Contributions to open-source AI/ML projects.