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

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 ...

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

Remote Machine Learning information

See Laveen, AZ salary details

$24.1K

$40.2K

$83.1K

How much do remote machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote machine learning in Laveen, AZ is $40,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

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.

More about Remote Machine Learning jobs

What cities near Laveen, AZ are hiring for Remote Machine Learning jobs?

Cities near Laveen, AZ with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 10 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