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

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/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

$134.40K - $165.20K/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

$134.40K - $165.20K/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

$134.40K - $165.20K/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

$134.40K - $165.20K/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. • ...

Manager, ML Ops Infrastructure

Irving, TX · Remote

$110K - $144.30K/yr

Python programming experience with fluency in ML frameworks (PyTorch, TensorFlow) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). * Experience with the modern AI/ML toolchain including model serving ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/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 ...

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Python Ml Developer information

See Addison, TX salary details

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How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Addison, TX is $56.75, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.47 per hour, depending on experience, location, and employer.

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 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 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 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 Addison, TX look for? The top searched job categories for Python Ml Developer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Python Ml Developer jobs? Cities near Addison, TX with the most Python Ml Developer job openings:
AI/ML Engineer

$140K - $220K/yr

Full-time

Posted 14 days ago


Job description

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.


  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate’s residence location, qualifications & experience.

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