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Remote Machine Learning Jobs in Gilbert, AZ (NOW HIRING)

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects, or self-study). * Ability to work independently in a remote environment, manage time well, and meet ...

Posted today

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects, or self-study). * Ability to work independently in a remote environment, manage time well, and meet ...

Posted today

LaFever Consulting

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Artificial Intelligence Intern

Tempe, AZ · Remote

$1.0K - $1.2K/yr

Basic understanding of AI concepts, data analysis, or machine learning tools (coursework, projects, or self-study). * Ability to work independently in a remote environment, manage time well, and meet ...

Posted today

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Key Responsibilities: - Design and implement advanced machine learning algorithms for time series forecasting. - Conduct exploratory data analysis using Python, SQL, and other tools. - Develop and ...

Enova International

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Customer Service Representative (Remote)

Phoenix, AZ · Remote

$17/hr

This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

Provn

Full Stack AI Engineer, Security

Scottsdale, AZ · Remote

$130K - $170K/yr

This role reports to the Security Ops Lead and is Remote-US (open to most states, with a few exceptions listed on the role page). You fit if you have shipped machine learning to production and you ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Gilbert, AZ

Remote Machine Learning information

See Gilbert, AZ salary details

$25.4K

$42.4K

$87.7K

How much do remote machine learning jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote machine learning in Gilbert, AZ is $42,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Gilbert, AZ? The most popular types of Machine Learning jobs in Gilbert, AZ are:
What are popular job titles related to Remote Machine Learning jobs in Gilbert, AZ? For Remote Machine Learning jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Gilbert, AZ look for? The top searched job categories for Remote Machine Learning jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Machine Learning jobs? Cities near Gilbert, AZ with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Gilbert, AZ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,448 per year, or $20.4 per hour.

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 16 days ago

Job description

Role: Teradata ML Data Scientist with Clear Scape Analytics

Location: Scottsdale, AZ (REMOTE)

Job Type: Contract

Job Description:

Role Overview:

The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.

The Senior Application Developer will:

Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)

Prepare software for deployment to production environments

Respond to and resolve questions and issues logged by users of a live system

Manage small projects independently and work as a team member on larger projects

Perform other related duties as required and assigned

Demonstrate behaviors which are aligned with the organization’s desired culture and values


Primary Responsibilities:

  • Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
  • Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
  • Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
  • Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
  • Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
  • Package analytical solutions into easy-to-use tools and applications tailored to business user needs
  • Clearly communicate analytical methodology, results, and insights to key stakeholders
  • Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
  • Thoroughly document modeling approach, code, and results to support knowledge transfer


Required Skills/Experience:

  • 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
  • Proficiency in Python, R, or other analytical programming languages
  • Experience building, validating, and deploying machine learning models
  • Knowledge of time series analysis and forecasting techniques
  • Financial industry experience a plus
  • Excellent communication and collaboration skills