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

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Data & ML Engineer

Dallas, TX ยท On-site

$113.30K - $136.10K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.

Senior Applied ML Engineer

Irving, TX ยท Remote

$125.25K - $183.70K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

Google Cloud ML Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch)

Skills * Required: SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on ... Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on ...

What You'll Bring Degree in Computer Science, AI/ML, or related field. 10+ years of AI/ML-focused ... Strong expertise in Python and modern AI frameworks. Experience with embeddings, knowledge graphs ...

ML Engineer

Plano, TX ยท On-site

ML Engineer Location: Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview ... Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi ...

AI/ML Engineer - Plano, TX

Plano, TX

$110.10K - $132.20K/yr

Python programming Machine Learning & Deep Learning TensorFlow / PyTorch / Scikit-learn End-to-end ML pipeline development Model deployment & REST APIs SQL / NoSQL databases Data structures ...

AI/ML Engineer

Dallas, TX ยท 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 ...

AI/ML Engineer

Dallas, TX ยท 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 ...

AI/ML Engineer

Dallas, TX ยท On-site +1

$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 ...

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Python Ml Developer information

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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 Allen, TX is $54.53, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $61.92 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 are popular job titles related to Python Ml Developer jobs in Allen, TX? For Python Ml Developer jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Allen, TX look for? The top searched job categories for Python Ml Developer jobs in Allen, TX are:
What cities near Allen, TX are hiring for Python Ml Developer jobs? Cities near Allen, TX with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Allen, TX as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $113,419 per year, or $54.5 per hour.

$90K - $110K/yr

Full-time

Posted 3 days ago


Job description

  • Qualifications:
  • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
  • Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
  • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
  • Proficiency with tools and LLMs.
  • Ability to work independently and collaboratively within a team.
  • Preferred Skills:
  • Experience in GenAI/LLMs projects.
  • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
  • Background in financial business-like banking, risk management.
  • Education:
  • Bachelors degree/University degree or equivalent experience in STEM

Good to have:
  • Working experience with Gemini LLM
  • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
  • Hands-On knowledge on NLP
  • Understanding of model deployment and containerization (Docker).
  • Understanding of version control systems (Git).
  • Awareness of AI compliance, data privacy, and responsible AI principles

Salary Range: $90,000 to $110,000 per year