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Machine Learning Operations Jobs in Bakersfield, CA

FieldCore

Turbine Mechanic

Bakersfield, CA

$25/hr

Perform machining and welding operations for making various parts for lab and shop training ... Career Paths for advancement (control over own promotions, training, learning) * Boot reimbursement

POM Wonderful

Arils Production Lead

Buttonwillow, CA · On-site

Supports daily production operations by coordinating line activities, assisting team members, and ... Operate and support production equipment (ORICS, Jurans, box machines, checkweighers, and labeling ...

Aerotek

Service Technician

Bakersfield, CA

$25/hr

... operation. * Troubleshoot and diagnose mechanical, electrical, and refrigeration issues on ... In some locations, handle machine movement and relocation, including loading, unloading, and ...

New

TerraForm Power

Technician 2, Solar

Bakersfield, CA · On-site

$39 - $45/hr

... learning. You'll be empowered to take initiative, contribute ideas, and grow your career within a ... Hands-on experience in solar operations, troubleshooting, and industrial machine repair/maintenance.

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Bakersfield, CA

Machine Learning Operations information

See Bakersfield, CA salary details

$22

$41

$63

How much do machine learning operations jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for machine learning operations in Bakersfield, CA is $41.25, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $43.75 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

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.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities near Bakersfield, CA are hiring for Machine Learning Operations jobs? Cities near Bakersfield, CA with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Repair and Maintenance Technician Machinist / Completions

Repair and Maintenance Technician Machinist / Completions

Weatherford

Bakersfield, CA

$30 - $40/hr

Full-time

Re-posted 6 days ago

Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

36th of 75 rated oil and gas companies

Job description

Join Weatherford as an R&M Technician / Machinist and perform hands-on manufacturing, repair, and maintenance of oil tools and equipment. You'll work with our facilities, machinery, and systems to repair, refurbish, and manufacture oil and gas tools using company procedures. 

Roles and Responsibilities

  • Participate in daily safety meetings, toolbox talks, and Job Hazard Analysis (JHA) sessions

  • Repair and maintain machines, equipment, and structures using hand tools (hammers, wrenches, drills) and precision measuring instruments (calipers, micrometers)

  • Inspect used parts and determine dimensional requirements using precision measuring instruments

  • Operate manual lathes for turning, boring, and thread cutting operations (straight and tapered threads)

  • Set up and operate manual mills with 4th axis, drill presses, and saws

  • Read and interpret mechanical detail drawings and use dial calipers, OD and ID micrometers

  • Operate forklifts, overhead cranes, and other lifting equipment safely (certification required)

  • Accurately track time using the Work Order (WO) time tracking system

  • Maintain equipment, facilities, and work areas in safe, presentable condition

  • Support LEAN initiatives and participate in continuous improvement programs

  • Comply with all HSE policies, quality standards, and company Rules to Live By

Skills / Education

  • High School Diploma

  • 2-4+ years of experience in the Oil & Gas industry

  • Basic mathematics and computer skills (time clock tasks, computer-based training, internet, Word, Excel)

  • Ability to read dial calipers, OD and ID micrometers, and mechanical detail drawings

  • Proficiency in operating manual lathes, mills, drill presses, and saws

  • Experience with forklift and overhead crane operation (certification required)

  • Strong reading and writing skills with attention to detail

  • Quality control analysis to ensure products meet required standards

  • Time management and organizational abilities

  • Critical thinking, active learning, and complex problem-solving skills

  • Ability to perform maintenance, repair, troubleshooting, and monitoring of equipment

  • Physical capability to meet the demands of the role

  • Strong judgment and decision-making aligned with policies and procedures

  • CNC set-up and operation experience

Additional Information:

Compensation Range: $30-$40 per hour 

Travel Requirement: Less than 10% 

#LI-KP1

Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.  

We are focused on technology development, digital solutions, and defining our footprint in the new energy space. Our ability to provide integrated solutions across our segments will be critical to growth in our core operations and the energy transition.  

Energy producers face unique challenges every day, so it is our job to create solutions that enhance safety, streamline operations, and sustain uptime to meet or exceed their targets. We operate across the global energy landscape employing some of the best diverse talent in the industry. At Weatherford, we understand the value each individual brings to the table. We celebrate diversity in all its forms and are immensely proud of our workforce. We invite you to join our passionate, talented, world-class team.  

When you join Weatherford, you instantly feel connected to something bigger - a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other's successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford. 

Join Us:  

Weatherford is producing energy for today and tomorrow- with global opportunities as unlimited as your sense of adventure. Join us to make an impact on our customers, the industry, and the world.  

Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.


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