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

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Exposure to and familiarity with common statistical and machine learning techniques. * Substantial ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

... machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills. Strong organizational and ...

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... AI and Machine Learning for predictive insights and intelligent decision-making. * IoT and Edge ...

Senior Software Engineer

Tempe, AZ · Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

... machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data ...

... machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data ...

... machine - ensuring tasks stay on track, deadlines are met, and nothing slips through the cracks ... Learning: Gain valuable experience working directly with the founders of HOF. * Flexibility: While ...

Showing results 21-40

Remote Machine Learning information

See Scottsdale, AZ salary details

$25.7K

$42.9K

$88.7K

How much do remote machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote machine learning in Scottsdale, AZ is $42,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 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 Scottsdale, AZ?

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

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

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

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Scottsdale, AZ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $42,902 per year, or $20.6 per hour.

Client Success Expert (Commercial Team) (Remote)

Phoenix, AZ • Remote

Full-time

Posted 2 days ago

New


Job description

OUR HIRING PROCESS:

  • We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
  • We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
  • At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
  • From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. 
    INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy

Are you driven by the desire to deliver exceptional client experiences and thrive in a dynamic environment? At INFUSE, we're seeking a passionate Client Success Specialist to join our team, where your efforts directly contribute to our clients' satisfaction and our company's success. This position offers an enriching path to professional growth and the unique opportunity to work with a variety of industries, ensuring no two days are the same. INFUSE has built a reputation as a beloved employer by prioritizing employee satisfaction and creating a workplace where everyone feels valued and connected. Joining our team means becoming part of a supportive community that celebrates every success and encourages continuous improvement. You'll discover how our employees love their jobs, driven by the meaningful connections they make and the positive impact they have on our clients' businesses.


Key Responsibilities
  • Build and maintain strong, long-lasting client relationships
  • Ensure the timely and successful delivery of our solutions according to client needs and objectives
  • Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders
  • Identify and grow opportunities within the territory and collaborate with sales teams to ensure growth attainment
  • Assist with challenging client requests or issue escalations as needed
  • Provide assistance across a variety of administrative and operational tasks, such as data entry, updating internal systems, or managing schedules.

Requirements
  • Proven track record of managing client relationships, preferably in a related field such as hospitality, client success, or sales
  • Strong communication and interpersonal skills
  • Can handle various tasks with attention to detail, managing priorities effectively in a fast-paced environment.
  • Empathetic understanding of client needs and ability to address them effectively
  • Ability to address challenges and proactively offer solutions.

If you're passionate about building meaningful relationships and delivering top-notch client experiences, we'd love to hear from you. Apply now to embark on a rewarding career journey with INFUSE, where your ambitions and contributions are recognized and valued. Don't miss your chance to be part of a team that genuinely enjoys making a difference. Submit your application today!


We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.