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Remote Python Machine Learning Jobs in Irvine, CA

59 Pines

Remote Marketing Coordinator

Laguna Beach, CA · Remote

$80K/yr

About The Role We need someone who can own the day-to-day of our marketing machine -- social ... learning-curve hours. About Us We're a credible, funded, remote-first startup backed by a growing ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

Experience working with machine learning and data science teams to define model objectives ... Leadership experience in distributed or remote engineering teams, driving execution across time ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

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How much do remote python machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote python machine learning in Irvine, CA is $62.92, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

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Remote Python Machine Learning jobs near you
Infographic showing various Remote Python Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $130,881 per year, or $62.9 per hour.

Organizational Change Management Consultant - Utility Industry

Newhouse Project Consulting

Anaheim, CA • Remote

$80 - $90/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Opportunity

We are looking for an experienced Organizational Change Management Consultant to support a late-stage technology deployment within a field operations environment.

This engagement is designed for a hands-on, execution-oriented change professional who can quickly drive stakeholder engagement, communications, readiness activities, training alignment, and adoption support. The project involves a machine learning-enabled operational tool designed to improve field inspection efficiency, enhance decision-making, reduce risk, and increase data visibility for employees and stakeholders supporting field-based operations.

This is a full-time contract opportunity expected to run from August 2026 through March 2027.

What You'll Do
  • Lead day-to-day change management execution for a late-stage technology deployment supporting field operations
  • Develop and support stakeholder engagement plans to increase awareness, readiness, and adoption among impacted employees
  • Create clear communications that help field teams, operational leaders, and business stakeholders understand what is changing, why it matters, and how it affects their work
  • Partner with project teams, field operations leaders, business stakeholders, and end users to support adoption
  • Assess change impacts and identify readiness needs across impacted employee groups, including field-facing teams
  • Support training alignment by helping ensure materials, timing, and messaging match user needs in an operational environment
  • Help prepare employees and stakeholders for new workflows, technology-enabled processes, field inspection changes, and greater data visibility
  • Identify adoption risks, resistance points, communication gaps, and readiness barriers across field and operational teams
  • Recommend practical actions to improve user understanding, acceptance, and sustained usage
  • Coordinate with internal teams to support go-live preparation, post-deployment adoption, and ongoing reinforcement
  • Track change activities, stakeholder feedback, readiness progress, and adoption-related next steps
  • Provide hands-on support to help the organization sustain new ways of working across field operations
What We're Looking For
  • Strong Organizational Change Management experience, preferably supporting technology or operational transformation projects
  • Experience supporting field operations, utility operations, inspection teams, asset management, or other field-based work environments strongly preferred
  • Experience with stakeholder engagement, communications, readiness planning, training alignment, and adoption support
  • Ability to operate in a late-stage deployment environment with limited time to influence adoption
  • Strong written and verbal communication skills
  • Ability to translate complex technical or operational changes into clear, practical messaging for field teams, leaders, and impacted users
  • Comfort working with cross-functional teams, project stakeholders, business leaders, field operations leaders, and end users
  • Strong execution mindset with the ability to move quickly, organize work, and drive deliverables
  • Ability to identify adoption risks and recommend practical mitigation steps
  • Strong attention to detail, follow-through, and stakeholder management skills
  • Experience supporting AI, machine learning, analytics, data visibility, or decision-support technology deployments is a plus
Contract Details
  • Full-time contract role
  • 40 hours per week
  • Expected duration of approximately 36 weeks
  • Anticipated timeline: August 2026 through March 2027
  • Remote or hybrid arrangement may be considered based on project needs
  • Focused role supporting stakeholder engagement, communications, readiness, training alignment, and adoption across field operations and operational stakeholder groups
Why This Role Stands Out

This is a strong opportunity for an OCM consultant who enjoys execution-focused change work tied to technology adoption and operational improvement. The role offers the chance to support a meaningful deployment that helps field and operational teams understand, embrace, and sustain new ways of working while improving inspection efficiency, risk reduction, data visibility, and decision-making.

Qualified candidates are encouraged to apply.

Employment Type: CONTRACTOR

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