1

Contract Machine Learning Engineer Jobs in Riverside, CA

Be Seen First

Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data ... Prepare curated datasets for analytics and machine learning initiatives. * Support CI/CD, source ...

As an AI Backend Engineer II, you will build the production software systems, services, and infrastructure that power machine learning solutions at scale. You will focus on deploying, integrating ...

The MLOps Engineer will design and maintain infrastructure for machine learning systems, collaborating closely with engineering teams to ensure effective deployment and monitoring of ML models.

Lead AI Engineer

Irvine, CA

$110K - $144K/yr

Description The Lead AI Engineer will be responsible for defining and driving the AI strategy ... Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep ...

Contract to Hire Project Overview: The Sr. Data Scientist will join the Personalization Data ... This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$129K - $171K/yr

They are seeking a skilled Senior MLOps Engineer to design and maintain the infrastructure supporting machine learning systems in robotics applications, collaborating with various engineering teams ...

Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative ... Design and implement machine learning deep learning natural language processing and computer vision ...

AI Engineer

Irvine, CA · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Jr Front End Developer

Irvine, CA

$111K - $129K/yr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Jr Front End Developer

Irvine, CA

$111K - $129K/yr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Showing results 41-60

Contract Machine Learning Engineer information

See Riverside, CA salary details

$32.9K

$134.3K

$201.9K

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

As of Sep 2, 2026, the average yearly pay for contract machine learning engineer in Riverside, CA is $134,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $161,700.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Riverside, CA?

The most popular types of Machine Learning Engineer jobs in Riverside, CA are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Riverside, CA?

For Contract Machine Learning Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Engineer jobs in Riverside, CA look for?

The top searched job categories for Contract Machine Learning Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Contract Machine Learning Engineer jobs?

Cities near Riverside, CA with the most Contract Machine Learning Engineer job openings:

Infographic showing various Contract Machine Learning Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,341 per year, or $64.6 per hour.

Data Engineer

OSTechnical

Irvine, CA • On-site

$100K - $115K/yr

Full-time

Medical, Dental, Vision

Posted 16 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

Data Engineer with a client at Irvine, CA

Contract to hire.


Position Summary

The Engineer, Data Intelligence & Business Analytics designs, develops, and supports scalable data integration and analytics solutions using Snowflake, dbt, Matillion, Python, and cloud technologies.

This role partners with business and technical stakeholders to deliver trusted healthcare data, including Epic data, for reporting, analytics, and AI-driven initiatives. The engineer is responsible for building high-quality ETL/ELT pipelines, optimizing data performance, improving data quality, and supporting enterprise analytics and machine learning use cases.


Key Responsibilities

  • Design and develop ETL/ELT pipelines using Snowflake, dbt, Matillion, and Python.
  • Integrate data from Epic Clarity/Caboodle, APIs, third-party vendors, and enterprise systems.
  • Collaborate with Product Owners, BSAs, and Data Architects to deliver scalable data solutions.
  • Implement data quality, monitoring, observability, and automated validation frameworks.
  • Apply AI-driven techniques for anomaly detection, schema drift identification, and intelligent data processing.
  • Optimize Snowflake performance, scalability, and cost efficiency.
  • Prepare curated datasets for analytics and machine learning initiatives.
  • Support CI/CD, source control, and development automation practices.


Required Qualifications

  • Bachelor's degree or equivalent experience.
  • 2+ years of data engineering and ETL/ELT development experience.
  • Hands-on experience with Snowflake and advanced SQL.
  • Experience with dbt, Matillion, or similar data transformation tools.
  • Experience building cloud-based data pipelines.
  • Knowledge of AI/ML concepts related to data preparation and feature engineering.
  • Experience with Git, CI/CD, APIs, and third-party data integrations.


Knowledge, Skills & Abilities

  • Strong analytical, problem-solving, and communication skills.
  • Ability to optimize complex data pipelines and troubleshoot data issues.
  • Strong attention to detail and ability to work independently or collaboratively.
  • Knowledge of healthcare data governance and HIPAA requirements.
  • Ability to communicate complex technical concepts to business stakeholders.
  • Curiosity and willingness to adopt emerging AI and data technologies.