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Machine Learning Engineer Jobs in Folsom, CA (NOW HIRING)

Accenture

Lead AI / ML Engineer

Sacramento, CA · On-site

$109K - $144K/yr

Developing and deploying machine learning models and AI solutions. At least 2 from the following ... Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine ...

UC Davis Health

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

Fluency in the Python programming language and competency using Python's standard machine learning libraries, and a willingness to learn (if necessary) other programming languages such as R and SQL.

Pwc

US Tech - AI Engineering Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... machine learning operations practices. The Team Deloitte's Government & Public Services (GPS ...

Deloitte

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... machine learning operations practices. The Team Deloitte's Government & Public Services (GPS ...

Pwc

AI & GenAI Data Scientist-Director

Sacramento, CA · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Folsom, CA

Machine Learning Engineer information

See Folsom, CA salary details

$33.7K

$137.7K

$206.9K

How much do machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer in Folsom, CA is $137,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $165,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Folsom, CA? The most popular types of Machine Learning Engineer jobs in Folsom, CA are:
What are popular job titles related to Machine Learning Engineer jobs in Folsom, CA? For Machine Learning Engineer jobs in Folsom, CA, the most frequently searched job titles are:
What cities near Folsom, CA are hiring for Machine Learning Engineer jobs? Cities near Folsom, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Folsom, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,693 per year, or $66.2 per hour.

Business Intelligence Developer

West Advanced Technologies (WATI)

West Sacramento, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Position: Business Intelligence Developer
Location :West Sacramento, CA
Duration: 24 months
Mandatory Qualifications:
  • At least 5 years of experience of developing data model and data reports in PowerBI.
  • At least 5 years of experience of creating SQL queries, optimizing SQL query performance, and modifying SQL elements such as procedure, functions, and views with a solid understanding of database principles.
  • At least 5 years of experience of designing and developing data analytic reports, dashboards, Business Intelligence reports, and data warehouses.
  • At least 5 years of experience of developing solutions within Snowflake, AWS Redshift, Microsoft Azure BI platform in the cloud, or similar technologies.
  • At least 3 years of experience of programming skills especially for data exploration and presentation to management and other users of data within data warehouses.
  • At least 3 years of experience with Advanced Data Analytics or Machine Learning technologies.
  • Bachelor's degree or equivalent experience in Computer Science, Information Technology, or similar field of study. CalSTRS reserves the right to request a copy of the degree.

Desirable:
  • Certifications of Business Intelligence, or Advanced Data Analytics, or Machine Learning. CalSTRS reserves the right to ask for a copy of the certificates.
  • Experience with Agile methodologies and Software Development life cycle.
  • Experience in State agency or Financials or Investment portfolios or other regulated industry highly preferred.
  • Ability to use business knowledge and expertise to build analytical data models and reports that can serve to business users.
  • Experience with MS Power BI DAX to create tabular models.
  • Strong understanding of SQL Scripting & Stored Procedures (SQL Development).
  • Exceptional ability to multi-task while maintaining tight schedules.
  • Excellent writing skills and documentation skills.

Education: Bachelor's degree or equivalent experience in Computer Science, Information Technology, or similar field of study. CalSTRS reserves the right to request a copy of the degree.
Certifications: Certifications of Business Intelligence, or Advanced Data Analytics, or Machine Learning. CalSTRS reserves the right to ask for a copy of the certificates.
Regards,
Sangeetha
West Advanced Technologies, Inc.
Serving government agencies for 22 Years
E: sangeetha.p@wati.com, D: 279 895 6797
www.wati.com

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