1

Python Ml Developer Jobs in San Marcos, CA (NOW HIRING)

Senior DevSecOps Engineer

Poway, CA ยท On-site

$106K - $146K/yr

Design data pipelines and AI/ML engineering infrastructure to support enterprise level ... AI/ML compute * Software process automation with popular scripting languages (Python, Bash ...

Senior Engineer - Machine Learning

San Diego, CA ยท On-site

$110K - $152K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software ... Strong software engineering skills in Python and/or Java, including API development, testing ...

Sr Machine Learning Engineer

San Diego, CA ยท On-site

$110K - $152K/yr

The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

Showing results 21-40

Python Ml Developer information

See San Marcos, CA salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for python ml developer in San Marcos, CA is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 job categories do people searching Python Ml Developer jobs in San Marcos, CA look for?

The top searched job categories for Python Ml Developer jobs in San Marcos, CA are:

What cities near San Marcos, CA are hiring for Python Ml Developer jobs?

Cities near San Marcos, CA with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in San Marcos, CA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $124,231 per year, or $59.7 per hour.

Contract Role - Engineer, ML & AI (Scientific focused) - San Diego, CA

Mirador Therapeutics, Inc.

San Diego, CA โ€ข On-site

$110K - $145K/yr

Full-time

Posted 15 days ago


Job description

Summary

We are seeking an experienced Contractor who will work within the Machine Learning (ML) & AI team, part of our Precision Medicine group. This person will focus on developing and applying AI/ML tools (including the use of large language models and development of AI agents) and creating scalable solutions to drive new insights and therapeutic hypotheses, and support our growing needs in accordance with overall project goals that will impact precision medicine and drug discovery.

Responsibilities

  • Work with the ML/AI team to develop, optimize, and maintain scalable AI/ML tools and pipelines for large-scale data analysis, deployment, and monitoring.ย 
  • Work with the ML/AI team to develop, optimize, and maintain agents, applications, and workflows based on LLMs for improving productivity and enabling research workflows.
  • Work cross-functionally to streamline data selection, integration, storage, and application for training and running AI/ML tools.ย 
  • Work cross-functionally to identify and provide for downstream analysis and visualization needs.ย 
  • Contribute to organization-wide decisions on data formats, cloud infrastructure for computing and storage, and other components of our technology stack.ย 
  • Communicate with audiences at various technical and scientific levels.ย 

Experience and Qualifications

  • Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Biomedical Engineering, Mathematics, Physics, or related technical fields.ย 
  • 4 years or more of AI/ML experience required.
  • 2 years or more of relevant biotech and/or pharmaceutical industry experience required.
  • Experience in developing, deploying, and maintaining AI/ML tools and pipelines at scale.ย 
  • Experience analyzing high-dimensional molecular data, such as genetics, transcriptomics, and proteomics.
  • Experience with common bioinformatics tools, data types, and analyses.ย 
  • Experience with R and Python with emphasis on AI/ML libraries (PyTorch, scikit-learn, etc).ย 
  • Experienced with production coding standards, automated testing, and other engineering best practices.ย 
  • Experience with cloud compute and storage platforms.ย 

Additional preferred qualificationsย 

  • Experience with containerization tools.ย 
  • Experience with data platforms such as RedShift, Snowflake, and Databricks, and data pipelining.
  • Familiarity with CI/CD practices in ML lifecycle.ย 

Skills and Abilities

  • Demonstrated ability to contribute to and help advance multi-disciplinary team projects.
  • Track record of excellent interpersonal and communication skills, including providing concise summaries of complex data to empower decision-making.
  • Strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.
  • Ability to work in a highly interactive environment with a diverse team of colleagues.

The expected pay range for this position is $110,000 - $145,000 annualized equivalence. Actual pay will be determined by several factors such as job-related skills, experience and relevant education or training. This range may be modified in the future.

#LI-onsite