ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs in Victorville, CA

DataAnnotation

SDLC Engineer - AI Trainer

Hesperia, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

SDLC Engineer - AI Trainer

Rialto, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

SDLC Engineer - AI Trainer

Fontana, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

SDLC Engineer - AI Trainer

Victorville, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Esri

GIS Solution Engineer - AEC

Redlands, CA · On-site

$79K - $130K/yr

... machine learning concepts * Programming and scripting experience with languages such as Python and JavaScript * Master's degree in geography, computer science, or a related field * Experience with ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Victorville, CA

Machine Learning Engineer Python information

See Victorville, CA salary details

$24.2K

$147.5K

$213.4K

How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Victorville, CA is $147,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Victorville, CA? For Machine Learning Engineer Python jobs in Victorville, CA, the most frequently searched job titles are:
What cities near Victorville, CA are hiring for Machine Learning Engineer Python jobs? Cities near Victorville, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Director-Data Science Center

Director-Data Science Center

Loma Linda University Health

Loma Linda, CA

Other

Posted 10 days ago

Loma Linda University Health rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

109th of 1,002 rated hospitals

Job description

Shared Services: Center for Data Sciences (Full-Time, Day Shift) -

Job Summary: The Director for the Center of Data Science advances cutting-edge research and develops transformative solutions at the intersection of biology, medicine, and data science. Contributes to campus-wide groundbreaking initiatives that will drive scientific innovation, enhance patient care, and align our mission to improve lives. Performs other duties as needed.

Education and Experience: Doctor of Philosophy degree in Biostatistics, Bioinformatics, Computational Biology, Data Science, or a related field required. Minimum five years of applied experience in biostatistics, bioinformatics, and Artificial Intelligence and Machine Learning applications required.

Knowledge and Skills: Strong understanding of life sciences, including genomics, systems biology, and molecular biology. Working knowledge of descriptive and inferential statistics, predictive modeling, multivariate analysis, Bayesian statistics experimental design and Model validation and interpretation. Knowledge of bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), clinical and big data integration, multi-omics analyses, and translational research. Proficiency in statistical programming languages (e.g., R, SAS) and general-purpose programming languages (e.g., Python, Julia, or C++). Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and advanced AI algorithms. Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) and containerization tools (e.g., Docker, Kubernetes). Exceptional analytical and problem-solving skills. Able to read; write and speak with professional quality; use computer and software programs necessary to the position (e.g., Word, Excel, Power Point, Access); operate/troubleshoot basic office equipment required for the position. Relate and communicate positively, effectively, and professionally with others; provide leadership; be assertive and consistent in enforcing policies ensuring compliance with regulatory standards, rules and laws; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Think critically; work independently; perform basic math and statistical functions; manage multiple assignments; compose written material; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Distinguish colors as necessary; hear sufficiently for general conversation in person and on the telephone, and identify and distinguish various sounds associated with the workplace; see adequately to read computer screens, and written documents necessary to the position.

Licensures and Certifications: None.

Our mission is to continue the teaching and healing ministry of Jesus Christ. Our core values are compassion, excellence, humility, integrity, justice, teamwork and wholeness.
Loma Linda University Health is a Seventh-day Adventist, faith and values based Christian institution. Candidates must understand and embrace the mission, purpose, and identity of Loma Linda and its affiliated entities.

We are an equal opportunity employer committed to the principles of diversity. We provide equal opportunities in all aspects of the employment process to every individual, regardless of gender, race, color, age, national origin, ancestry, physical or mental disability, marital or veteran status, genetic information or any other characteristic protected by law. In addition, we will provide reasonable accommodations for otherwise qualified individuals requesting an accommodation due to a disability. If you need accommodation assistance with accessing our job listings or completing an application, or during any other phase of employment with us, please contact Human Resources Management at (909) 651-4001.

Loma Linda University Shared Services is a religiously-qualified Equal Opportunity Employer under Title VII of Civil Rights Act of 1964. No question on this application is asked for the purpose of unlawfully limiting or excluding any applicant's consideration for employment because of race, color, religion, gender, age, national origin, disability, genetic information, or any other status protected by applicable law. If you need a reasonable accommodation in the hiring process, please notify Human Resource Management.

We appreciate your interest in Loma Linda and wish you success in your job search!

What Loma Linda University Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Loma Linda University Health logo

About Loma Linda University Health

Sourced by ZipRecruiter

Loma Linda University Health (LLUH) is an esteemed healthcare organization situated in Loma Linda, California, US. Established in 1905, it was initially known as the College of Medical Evangelists, and it operated as the official medical institution of the Seventh-day Adventist Church until the name was changed to LLUH in 1961. LLUH is very much active in the healthcare and education sectors, providing a vast range of services such as medical treatment, research, and health education. The organization’s core mission is "to continue the teaching and healing ministry of Jesus Christ", which underlines its binding values of compassion, integrity, excellence, freedom, and justice.

Industry

Health care and social assistance and hospitality services

Company size

10,000+ Employees

Headquarters location

Loma Linda, CA, US

View All Loma Linda University Health Jobs

Apply