ZipRecruiter

Log In

1

Machine Learning Operations Jobs in El Cajon, CA

AppFolio

Staff Machine Learning Engineer

San Diego, CA · On-site

$200 - $250/hr

Overview Build and operate the ML platform that powers AppFolio's AI-native Real Estate platform, ensuring scalable training, inference, and cost‑efficient operations across AWS and ...

Icwgroup

MLOps Engineer II

San Diego, CA · On-site

$103K - $141K/yr

The MLOps Engineer II works closely with data scientists, cloud engineers, and application teams to productionize machine learning models and ensure reliable, secure, and cost-efficient ML operations.

Deloitte

Cyber - SecOps - Consultant

San Diego, CA · On-site

Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...

Socket.dev

Lead Software & AI Engineer

San Diego, CA · On-site

$185 - $200/hr

Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems. * DoD 8140/8570 IAT ...

New

G2IT

Lead Software & AI Engineer

San Diego, CA · On-site

$225K/yr

Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems. * DoD 8140/8570 IAT ...

previous page

Showing results 41-60

All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in El Cajon, CA

Machine Learning Operations information

See El Cajon, CA salary details

$22

$41

$63

How much do machine learning operations jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning operations in El Cajon, CA is $41.65, according to ZipRecruiter salary data. Most workers in this role earn between $34.90 and $44.18 per hour, depending on experience, location, and employer.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

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

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
What cities near El Cajon, CA are hiring for Machine Learning Operations jobs? Cities near El Cajon, CA with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in El Cajon, CA as of June 2026, with employment types broken down into 2% As Needed, 42% Full Time, 54% Part Time, and 2% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $86,624 per year, or $41.6 per hour.

Principal Machine Learning Engineer

ServiceNow

San Diego, CA • On-site

$216K - $378K/yr

Full-time

Medical, Retirement

Posted 12 days ago

ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

100th of 242 rated software companies

Job description

Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Overview
Enterprise AI is ServiceNow's horizontal capability team, building the operating model, technical foundation, and Customer Zero motion for AI governance at enterprise scale, including AI Control Tower, the AI agent orchestrator, and the AI agent fabric on the ServiceNow AI platform.
As Principal Engineer, Agentic AI Systems, you will serve as the senior-most technical multiplier for the Enterprise AI organization, setting architecture and technical direction for one of ServiceNow's biggest engineering opportunities: making an enterprise-scale workforce of AI agents governable, secure, observable, and worth trusting.
What You'll Do
  • Define the multi-year technical architecture for the AI Control Tower portfolio, agent governance, orchestration, lifecycle management, interoperability, observability, evaluation, and AI security, as one coherent platform.
  • Establish an AI-forward developer experience that embeds agents into planning, coding, testing, review, deployment, and operations, with the standards and guardrails to make it safe and measurable.
  • Define operational excellence for autonomous and semi-autonomous agents, including reliability, incident response, rollback, kill-switch, and auditability standards.
  • Act as the technical multiplier across AI engineering, data and ML, infrastructure, product, DevOps, security, and GRC, brokering cross-domain choices and resolving design conflicts on technical merit.
  • Turn ServiceNow's own Customer Zero experience into structured product feedback for AI Control Tower and related platform capabilities.
  • Prototype and incubate new patterns in multi-agent orchestration, agent evaluation, and AI governance automation, and publish reference architectures that accelerate reuse.
  • Mentor principal and senior engineers, raise hiring standards, and build the AI fluency that makes this team a model for AI-ready engineering.

Qualifications
To be successful in this role you have:
  • 15+ years of software engineering experience, including 5+ years operating at a principal, senior staff, or director-equivalent scope, setting technical strategy across multi-team organizations without relying on direct reporting authority.
  • Deep, current, hands-on expertise in agentic AI and LLM-based systems, multi-agent orchestration, RAG, evaluation frameworks, LLMOps/MLOps, AI observability, and AI governance and security.
  • Experience architecting enterprise-scale cloud platforms, distributed systems, developer platforms, data platforms, or DevOps/CI-CD automation.
  • A demonstrated track record of transforming how engineering organizations build, test, and ship software, ideally with AI-assisted or agentic coding tools.
  • Strong judgment in ambiguous technical domains where architecture, product, security, operations, and business value intersect.
  • Builder credibility: you still write code, prototype fast, and lead by demonstration.
  • Executive communication skills, with the ability to frame technical strategy and trade-offs for VP, C-level, customer, pundits, and partner audiences.

Preferred Qualifications
  • Experience with ServiceNow or a comparable enterprise workflow platform (ITSM, CMDB, GRC).
  • Experience with MCP, A2A, tool-calling architectures, or LLM/AI gateways.
  • Visible technical guidance through publications, talks, patents, or open-source contributions.

For positions in this location, we offer a base pay of $216,100 - $378,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What ServiceNow employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

ServiceNow logo

About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004

View All ServiceNow Jobs

Apply