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

Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow ...

AI/ML Engineers Location: Dallas, TX (Hybrid 2 days/week) Local Only Duration: 3 Months Contract ... python scripting Core requirements: • Strong command of SQL and experience with relational ...

Exposure to Python ML/agent tools like TensorFlow, PyTorch, or LangChain. Data preprocessing and feature engineering with structured and unstructured data. Strong OOP and design patterns, Git, unit ...

The ideal candidate should have strong hands-on coding experience in Python (mandatory) and at ... Implement CI/CD pipelines, DevOps automation, monitoring, observability, and security best ...

Knowledge of speech-to-text and text-to-speech integrations Cloud & DevOps * Proficiency with AWS ... Java or Python * Production-level AI/ML experience * AI/ML architecture expertise * CI/CD pipelines

Lead AI/ML Engineer

Irving, TX

$98K - $129K/yr

As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to ... Establish strong software engineering principles for development in Python on the Azure/Google ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/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 ...

AI/ML Engineer Location: Plano, TX or Houston, TX or Morris Plains, NJ, (Hybrid) Duration: Contract ... Proficiency in programming languages commonly used in machine learning, such as Python and/or R.

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.

AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development. * Solid ...

Google Cloud ML Engineer

Dallas, TX · 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)

Position - Gen AI/ML Engineer Location - Plano TX(Day 1 onsite) Generative AI / AI Engineer with ... Python, and FastAPI. Must be able to convert business problems into AI use cases across fraud ...

Senior AI/ML Engineer

Frisco, TX · Hybrid

$98K - $134K/yr

Senior AI/ML Engineer Location: Frisco TX / Atlanta GA Duration: 6 Months Job Type: Temporary ... Develop scalable pipelines using Python, Spark, Kafka * Implement feature engineering, model ...

We are currently sourcing for a ML Engineer to work in Westlake, TX! Machine Learning / Gen AI ... Strong programming skills in Python, Java. * Solid experience with developing python-based APIs ...

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 ...

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Python Ml Developer information

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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:
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Roanoke, TX

Other

Posted 8 days ago


Job description

Sr. Machine Learning Engineer

Duration: 12 -24 Months

Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA

Candidate should be local or willing to work onsite on any of the above locations for 5 days/ month

The Expertise And Skills You Bring
  • Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
  • 8+ years of proven experience in implementing Big data solutions in data analytics space
  • 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills
  • Ability to deal with ambiguity and work in fast paced environment
  • Experience supporting critical applications
  • Familiarity with applied data science methods, feature engineering and machine learning algorithms
  • Data wrangling experience with structured, semi-structured and unstructured data
  • Experience building ML infrastructure, with an eye towards software engineering
  • Excellent communication skills, both through written and verbal channels
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem

Required Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.