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Python Ml Developer Jobs in Lathrop, CA (NOW HIRING)

Broad experience developing software with either Python, C++ or JAVA within Linux, UNIX, and/or ... AI/ML agentic, MCP, or other LLM integrations * AI Model poisoning * OT/IoT system design, attack ...

You will perform code development work focusing on a Python modeling environment (a collection of ... and Machine Learning (ML) integration within the end-to-end engineering analysis process.

You will perform code development work focusing on a Python modeling environment (a collection of ... and Machine Learning (ML) integration within the end-to-end engineering analysis process.

You will perform code development work focusing on a Python modeling environment (a collection of ... and Machine Learning (ML) integration within the end-to-end engineering analysis process.

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... ML models and workflows. * Significant experience with high-performance computing, GPU programming ...

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... ML models and workflows. * Significant experience with high-performance computing, GPU programming ...

Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow ... ML models and workflows. * Significant experience with high-performance computing, GPU programming ...

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Python Ml Developer information

See Lathrop, CA salary details

$13

$59

$88

How much do python ml developer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for python ml developer in Lathrop, CA is $59.86, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.98 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 job categories do people searching Python Ml Developer jobs in Lathrop, CA look for? The top searched job categories for Python Ml Developer jobs in Lathrop, CA are:
What cities near Lathrop, CA are hiring for Python Ml Developer jobs? Cities near Lathrop, CA with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Lathrop, CA as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $124,502 per year, or $59.9 per hour.

Principal Software Development Engineer (AI/ML)

Abbott

Livermore, CA • On-site

$130K - $261K/yr

Full-time

Medical, Retirement

Posted 19 days ago


Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

146th of 518 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution.

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of Livermore, CA location in the Abbott Heart Failure, Acelis Connected Health business. Our Heart Failure solutions are helping address some of the World's greatest healthcare challenges.

We are looking for a visionary Principal SDE to lead the development of intelligent, scalable software solutions across mobile, cloud, and data platforms. This role combines deep technical expertise with strategic leadership, driving innovation and operational excellence across the organization.

What You'll Work On

  • Architect Agentic Workflows: Lead the hands-on engineering of autonomous AI agents and RAG systems using LangChain to automate complex clinical workflows, moving the Acelis platform from static data to intelligent, agent-driven actions.
  • Deploy Multimodal ML Models: Design and ship high-accuracy Predictive ML models for patient risk-stratification and Image Analysis AI to enhance diagnostic speed, utilizing a hybrid of in-house builds and external LLM integrations
  • End-to-End Model Ownership: Spearhead the deployment and real-time monitoring of all production models; you are empowered to make direct architectural changes to the ML pipeline to ensure scalability, reliability, and clinical safety
  • Architect and deliver high-performance native mobile applications integrated with ML models and cloud services.
  • Deep expertise in designing and optimizing scalable, high-performance database architectures, with hands-on experience in both relational and NoSQL systems to support mission-critical applications.
  • Demonstrated ability to design and implement AI-driven solutions, leveraging state-of-the-art frameworks to solve complex business problems and enhance user experiences across mobile and cloud platforms.
  • Lead ML initiatives using frameworks like LangChain, Hugging Face, and TensorFlow, embedding intelligence into mobile and web platforms.
  • Drive operational excellence through automation, monitoring, and continuous improvement of engineering processes.
  • Collaborate closely with Directors and VPs to influence technical strategy and make high-impact architectural decisions.
  • Mentor and grow software engineers and junior database engineers, fostering a culture of ownership, innovation, and technical rigor.


Required Qualifications
10+ years of software development experience across mobile and backend systems.
5+ years of experience leading and mentoring engineering core teams.
Strong understanding of cloud platforms (AWS, Azure, GCP), CI/CD, and DevOps practices.
Exceptional communication and leadership skills, with the ability to influence senior stakeholders and drive strategic initiatives.

Build, test, and containerize predictive models using Python and frameworks like TensorFlow or PyTorch.
Implement MLOps pipelines to automate training, deployment, and ongoing monitoring.

Preferred Qualifications

Proven track record in building native mobile apps and architecting complex database systems.
Expertise in ML model development and deployment using LangChain, Hugging Face, or similar frameworks.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

The base pay for this position is

$130,700.00 - $261,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:HF Heart FailureLOCATION:United States > Livermore : 6465 National DriveADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Not specifiedMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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