ZipRecruiter

Log In

1

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

SambaNova

ML Features Solutions Engineer

Austin, TX · On-site

$81K - $109K/yr

The ML Features Solutions Engineer will focus on the development and optimization of core ML ... Python and deep learning frameworks: PyTorch (required), TensorFlow, or JAX • Experience with ...

Invoca

Senior ML Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

Apple

ML Engineer - Creator Studio

Austin, TX · On-site

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Avride

ML Platform Engineer

Austin, TX · On-site

... developer experience. What you will do * Build and scale our ML compute platform on Kubernetes ... Strong proficiency in Python or Go; C++ is a plus * Track record of designing and building scalable ...

NODA AI

AI/ML Engineer

Austin, TX · Hybrid

AI/ML Engineer - NODA AI Location: Austin, TX (Hybrid on-site, with up to 20% travel) Clearance ... Proficiency in Python and modern AI/ML frameworks (PyTorch, Transformers, LangChain, or equivalent ...

Estaff LLC

Senior AI/ML Software Developer

Austin, TX

$54 - $71.25/hr

Python is your primary language. • AI/ML Production: Built and deployed 2-3+ ML models serving ... • DevOps: Hands-on experience with Ansible, CI/CD pipelines, Docker, and Kubernetes. • ...

Cynet Systems

AI/ML Engineer 1

Austin, TX

AI/ML Engineer 1 Job Location: Austin, TX Job Type: Contract Job Overview: Responsibilities ... Ability to write and read Python or another scripting language. * Problem-solving mindset: when ...

AMD

ML/AI Engineer

Austin, TX · On-site

They are seeking an ML/AI Engineer who will be responsible for developing and deploying machine ... Responsibilities : • Develop, deploy, and test ML/AI software tools. • Use Python, JavaScript ...

Apple

ML Engineer - Creator Studio

Austin, TX · On-site

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Apple

ML Engineer - Creator Studio

Austin, TX

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Apple

ML Engineer - Creator Studio

Austin, TX

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Apple

ML Engineer - Creator Studio

Austin, TX

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Apple

ML Engineer - Creator Studio

Austin, TX

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

Apple

ML Engineer - Creator Studio

Austin, TX

$171K - $302K/yr

As an ML Engineer, you will play a key role in defining and implementing key agentic AI features in ... skills in Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or ...

next page

Showing results 1-20

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Leander, TX

Python Ml Developer information

See Leander, TX salary details

$12

$56

$82

How much do python ml developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for python ml developer in Leander, TX is $56.01, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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 Leander, TX? For Python Ml Developer jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Leander, TX look for? The top searched job categories for Python Ml Developer jobs in Leander, TX are:
What cities near Leander, TX are hiring for Python Ml Developer jobs? Cities near Leander, TX with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Leander, TX as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,507 per year, or $56 per hour.

ML Features Solutions Engineer

SambaNova

Austin, TX • On-site

$81K - $109K/yr

Full-time

Posted 12 days ago

Job description

Job Summary:
SambaNova is a leading company in generative AI technology, providing a full-stack platform optimized for enterprise and government organizations. The ML Features Solutions Engineer will focus on the development and optimization of core ML features for enterprise deployment, bridging the gap between ML research and product engineering to deliver high-quality, production-ready solutions.
Responsibilities:
• Design and implement core ML features including model optimization, quantization, and inference enhancements
• Optimize model performance for latency, throughput, and memory efficiency on SambaNova hardware
• Develop and improve features such as Function Calling, Structured Output, and JSON mode conformance
• Create end-to-end ML solutions that showcase platform capabilities and accelerate customer adoption
• Convert cutting-edge ML research into practical, deployable product features
• Establish benchmarks and quality standards for ML features in production environments
• Work with SDK team to ensure ML features are properly exposed and documented for developers
• Support enterprise customers implementing advanced ML features in their workflows
• Partner with ML research, platform engineering, and customer teams
Qualifications:
Required:
• Master’s degree or higher in Computer Science, Machine Learning, Electrical Engineering, or related field
• 5+ years of industry experience in ML engineering or applied ML research
• 3+ years of hands-on experience with large language models and transformer architectures
• Expert proficiency in Python and deep learning frameworks: PyTorch (required), TensorFlow, or JAX
• Experience with model optimization techniques: quantization, pruning, distillation, efficient inference
• Strong understanding of LLM inference optimization: KV cache, batching strategies, memory management
• Experience deploying ML models to production at scale
• Track record of translating research concepts into production features
Preferred:
• PhD in Machine Learning, NLP, or related field
• Experience with custom hardware acceleration (TPUs, custom ASICs)
• Hands-on experience with inference frameworks: vLLM, TensorRT-LLM, or similar
• Experience with function calling and tool use in LLMs
• Knowledge of structured generation and constrained decoding
• Experience with ML feature development in enterprise contexts
• Contributions to open-source ML projects
Company:
SambaNova is an AI hardware and software company that specializes in providing infrastructure for AI and machine learning applications. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply