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

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 ...

New

Applied Data Scientist

Scottsdale, AZ · Remote

  • Medical

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  • Vision

  • Life

  • Retirement

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.

Contact Center Data Analyst

Phoenix, AZ · On-site +1

  • Medical

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  • Life

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  • PTO

... 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 ...

Cloud Solutions Architect

Phoenix, AZ · Remote

$110K - $120K/yr

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  • Life

  • Retirement

  • PTO

Develop and organize cloud systems, with a focus on enabling machine learning and artificial ... Remote work is a management option and not an employee entitlement or right. An agency may ...

Manager, Talent & People Analytics

Phoenix, AZ · On-site +1

  • Medical

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  • PTO

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 ...

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

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  • PTO

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

  • Medical

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  • Retirement

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... machine learning tools and their application to business problems or operational improvement ...

Senior Marketing Manager

Scottsdale, AZ · Remote

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Blue Yonder operates worldwide and combines advanced machine learning with industry expertise to ... REMOTE ----- The annual salary range for this position is $120,334.55 - $151,665.44 The salary ...

Senior Software Engineer

Tempe, AZ · Remote

$91K - $163K/yr

  • Retirement

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 ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... 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 41-60

Remote Machine Learning information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Phoenix, AZ is $42,282.00, 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 Phoenix, AZ?

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

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Phoenix, 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 $42,282 per year, or $20.3 per hour.

Cybersecurity Engineer

Bechtel

Glendale, AZ • On-site, Remote

Full-time

Posted yesterday

New


Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 449 rated engineering


Job description

Requisition ID: 296001 

  •  Relocation Authorized: None 
  • Telework Type: Full-Time Telework 
  • Work Location: Glendale, AZ, Houston, TX, Reston, VA
Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. 

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. 

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report. 

Job Summary:

Bechtel is seeking a motivated and curious Entry Level Cybersecurity Engineer to join the Security Engineering Team. This role offers a unique opportunity to contribute across a broad range of security disciplines — including cloud security, application security, security architecture, internal consulting, and penetration testing — while being mentored by experienced security professionals. The position is fully remote and ideal for candidates who are passionate about cybersecurity and eager to build a well-rounded foundational career in the field. #LI-SM2

Major Responsibilities:
  • Support the design and evolution of enterprise security engineering capabilities aligned to Secure-by-Design principles and business objective. 
  • Champion an AI-first cybersecurity engineering approach, leveraging automation, machine learning, and generative AI to proactively identify, prioritize, and reduce risk at scale.
  • Help to define and drive the cybersecurity engineering roadmap across cloud, network, identity, and infrastructure domains.
  • Partner with Architecture, Cloud, Platform/Ops, and Delivery teams to embed security controls into core platforms and services.
  • Establish security engineering standards, reference architectures, and reusable patterns to support consistent implementation across global projects.
  • Ensure integration of security tooling and platforms, ensuring interoperability, automation, and measurable risk reduction.
  • Collaborate with SOC/CIRT and Threat Intelligence teams to operationalize detection, response, and threat-informed defense strategies, including AI-driven detection and response capabilities.
  • Drive continuous improvement through metrics, maturity models, and program governance aligned with enterprise risk and compliance requirements.
  • Engage with business units and project teams to ensure security capabilities are aligned to operational needs and delivery timelines.
  • Provide technical support and guidance across the cybersecurity engineering function, fostering a culture of accountability, innovation, and continuous learning.
Education and Experience Requirements:
  • Requires bachelor's degree (or international equivalent) in Computer Science, Information Technology, Cybersecurity, or a closely related field  and 8-10  years of relevant experience or 12-14 years of relevant work experience​​​.
  • Demonstrated foundational knowledge of networking, operating systems, and core security concepts (e.g., CIA triad, authentication/authorization, encryption basics).
  • Familiarity with at least one major cloud platform (AWS, Microsoft Azure, or Google Cloud Platform).CompTIA Security+ certification (or willingness to obtain within 6 months of hire).
  • Strong analytical and problem-solving skills with keen attention to detail.Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
  • Ability to work independently in a remote environment with strong self-motivation and time management.
Required Knowledge and Skills:
  • Internship, co-op, capstone project, or coursework experience in one or more cybersecurity domains.
  • Exposure to security tools such as Nessus, Burp Suite, Nmap, Wireshark, or similar.Familiarity with scripting languages (Python, Bash, or PowerShell) for automation or analysis tasks.
  • Knowledge of compliance frameworks such as NIST SP 800-53, ISO 27001, or HIPAA/FERPA.Additional security certifications (e.g., CompTIA CySA+, AWS Certified Cloud Practitioner, CEH) are a plus.
  • Experience with GitHub, ticketing systems (e.g., ServiceNow, Jira), or security information and event management (SIEM) platforms.
Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive.  Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards

Diverse teams build the extraordinary:

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com


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