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Machine Learning Contract Remote Jobs in Mesa, AZ

Enova International

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Loan Processor (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 ...

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 ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · On-site +1

... machine learning models, recommender systems and processes to make that vision a reality. Hybrid or Remote Opportunity! Overview of Responsibilities Analytics & Business Partnering (70%

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Mesa, AZ

Machine Learning Contract Remote information

See Mesa, AZ salary details

$25.3K

$42.2K

$87.3K

How much do machine learning contract remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning contract remote in Mesa, AZ is $42,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Mesa, AZ?

For Machine Learning Contract Remote jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Mesa, AZ look for?

The top searched job categories for Machine Learning Contract Remote jobs in Mesa, AZ are:

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

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

Machine Learning Contract Remote jobs near you

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 23 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