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

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 ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Lead Engineer, Data Platforms

Tempe, AZ ยท 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 ...

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท 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 ...

SolidWorks Expert - Remote

Phoenix, AZ ยท Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Data Scientist

Phoenix, AZ ยท 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 ...

The position is fully remote and ideal for candidates who are passionate about cybersecurity and ... Champion an AI-first cybersecurity engineering approach, leveraging automation, machine learning ...

Posted today

Showing results 21-40

Remote Machine Learning information

See Glendale, AZ salary details

$25.4K

$42.3K

$87.5K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Glendale, AZ is $42,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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.

What are the most commonly searched types of Machine Learning jobs in Glendale, AZ?

The most popular types of Machine Learning jobs in Glendale, AZ are:

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Glendale, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,346 per year, or $20.4 per hour.

Data Scientist

Inherent Technologies

Chandler, AZ โ€ข Remote

Other

Re-posted 3 days ago


Job description

Must have skill: Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects.
Job Description: We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.
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 deploy deep learning models to improve forecasting accuracy.
- Collaborate with cross-functional teams including product managers, software engineers, and other scientists.
- Communicate findings and insights through data visualization tools like Tableau or Power BI.
- Stay updated with the latest research and advancements in demand forecasting and machine learning.
Qualifications:
- Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field.
- 3+ years of experience in machine learning, statistical modeling, and data analysis.
- Proficiency in programming languages such as Python and SQL.
- Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks).
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and presentation skills.
Preferred Qualifications:
- Experience with cloud platforms like GCP.
- Previous experience in demand forecasting or related fields.
Note: We want to find people with strong Time Series forecasting, ML, deep learning (we want to explore neural networks as well), and standard statistical methods to evaluate models. For the Time Series, we look for someone who understands advanced time series forecasting techniques not just experience with ARIMA models.
We want someone who has worked in CPG industry and worked on demand planning for fast moving goods. This means the person should have experience working on supply chain projects.

Thanks and Regards

Syed Salim | Technical Recruiter

Ph: (520)495-0084 Email: Salim@inherenttech.com

Inherent Technologies, Together, we can.... SM

www.inherenttechnologies.com