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Python Ml Developer Jobs in Santa Clara, CA (NOW HIRING)

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$122K - $168K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We own a modern fullstack architecture including TypeScript/React, Python, GraphQL, Golang , and ML ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/yr

We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure ...

Senior AI/ML Engineer

Newark, CA

$117K - $161K/yr

Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C ... Track record of mentoring other engineers or contributing to open-source ML/AI projects.

AI/ML Engineer Location- Milpitas,4-5 days onsite Payrate: $80/hr on W2 • 5+ years of hands-on ... Strong Python skills; proficiency with PyTorch or TensorFlow and HuggingFace Transformers. • ...

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Python Ml Developer information

See Santa Clara, CA salary details

$15

$68

$101

How much do python ml developer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for python ml developer in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 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 Santa Clara, CA? For Python Ml Developer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Santa Clara, CA look for? The top searched job categories for Python Ml Developer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Ml Developer jobs? Cities near Santa Clara, CA with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Santa Clara, CA as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.

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6.7

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Job description

Job Title: AI/ML EngineerLocation: San Jose, CADuration: Fulltime/Permanent position Job Summary: We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.Responsibilities:
  • Design, develop, and implement machine learning models using TensorFlow to solve complex business problems.
  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
  • Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms.
  • Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems.
  • Optimize and fine tune models for performance and scalability.
  • Document processes, methodologies, and results to ensure knowledge sharing within the team.
  • Mentor junior team members and contribute to a culture of continuous learning and improvement.
Mandatory Skills:
  • Strong expertise in TensorFlow, Keras and its ecosystem.
  • Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn).
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 5 7 years of experience in AI/ML engineering or a related role.
  • Proven experience in developing and deploying machine learning models in production environments.
  • Excellent communication skills and the ability to work effectively in a team.