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

MM International

AI/ML Engineer

Dallas, TX · On-site

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 ...

AceStack LLC

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

... ML/DL/LLM algorithms, model architectures, and training techniques. - Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. - Proficiency ...

Tata Consultancy Services

Python Developer

Irving, TX

$90K - $110K/yr

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 ...

Paradigm

Senior Applied ML Engineer

Irving, TX · 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 ...

Inizio Partners

Lead AI/ML Engineer

Irving, TX · On-site

$98.40K - $129.60K/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 ...

Damco

AI/ML Engineer

Plano, TX

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.

Diverse Lynx

AI/ ML Engineer

Irving, TX

$120K - $125K/yr

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 ...

1 point system

AI/ML Engineer

Plano, TX · On-site

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.

NTT Data Americas, Inc.

Python Gen AI Developer

Irving, TX

$48.25 - $66.50/hr

Contract Must be able to work on W2 payroll NTT DATA's Client is seeking a Python Gen AI Developer ... ML solutions Skills required: Overall 5+ years of experience. 3+ Years of strong Python coding ...

MSR Cosmos

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)

TXU Energy

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134.40K - $165.20K/yr

Lead Developer (Python, GenAI) As a Lead Developer (Python, GenAI), you will build the solutions ... You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ...

Omni Inclusive

AI/ML Engineer

Frisco, TX · Hybrid

... Python, FastAPI, LangChain, LangGraph, Azure OpenAI (GPT-4o), Azure Document Intelligence, Azure ... Optimize AI-driven prompt engineering and embedding models for efficient performance, iterating on ...

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$12

$54

$80

How much do python ml developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python ml developer in McKinney, TX is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $61.78 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 McKinney, TX? For Python Ml Developer jobs in McKinney, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in McKinney, TX look for? The top searched job categories for Python Ml Developer jobs in McKinney, TX are:
What cities near McKinney, TX are hiring for Python Ml Developer jobs? Cities near McKinney, TX with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
AI/ML Engineer

AI/ML Engineer

MM International

Dallas, TX • On-site

Contractor

Posted 20 days ago

Job description

Job Title: AI/ML Engineers

Location: Dallas, TX (Hybrid 2 days/week) Local Only

Duration: 3 Months Contract

Video Interview

Job Description

·        Need exp in ML models from scratch through implementation and automation

·        Absolutely strong in python scripting

Core requirements:
• Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake)
• Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent
• Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) including services such as Lambda, S3, Azure Functions, or BigQuery
• Establishes infrastructure standards and requirements.
• Evaluates supports Web Application Server system enhancements and performs quality assurance functions
• Proficient in Python or R for data analysis and model development
• Good knowledge of data quality & data management platforms ( Informatica is a plus )

 

Nice to Haves:
• Experience in design, development, and implementation of scalable API integrations between various internal and external systems.