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Remote Metallurgical Engineer Jobs in Addison, IL

Elevance Health

Distinguished Engineer

Chicago, IL · On-site +1

Distinguished Engineer Distinguished Engineer Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Distinguished Engineer

Chicago, IL · On-site +1

Distinguished Engineer Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Walter P Moore

Engineer - Diagnostics

Chicago, IL · On-site +1

The Engineer will take on the responsibility of managing the technical production and contractual aspects of multiple projects within the office with focus on restoration, rehabilitation, renovation ...

Elutions

Domain Engineer

Chicago, IL · Remote

The Engineering Team is seeking a motivated, hard-working Domain Engineer with the ability to integrate energy conservation strategies into real world applications (commissioning data analytics and ...

The Holmstad

Workday Applications Engineer

Skokie, IL · On-site +1

$84K - $126K/yr

Join us! The Application Engineer position serves as security architect and administrator for Covenant Living's Workday HCM, Payroll, Purchasing, and Finance platforms. This role is primarily ...

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All JobsMetallurgical Engineer JobsRemote Metallurgical Engineer JobsRemote Metallurgical Engineer Jobs in Addison, IL

Remote Metallurgical Engineer information

See Addison, IL salary details

$33.1K

$94.2K

$145.8K

How much do remote metallurgical engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote metallurgical engineer in Addison, IL is $94,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $108,700.00 per year, depending on experience, location, and employer.

What is a remote metallurgical engineer?

Remote metallurgical engineers are professionals who analyze, develop, and optimize metals and alloys, working primarily from off-site locations using digital tools and communication platforms. They may be involved in materials testing, failure analysis, process improvement, and quality assurance, collaborating with teams and clients virtually. This role often requires strong problem-solving skills, expertise in materials science, and the ability to interpret data remotely. Remote metallurgical engineers can work in industries such as manufacturing, aerospace, energy, and consulting, performing most of their tasks without being physically present at production sites.

How does a remote metallurgical engineer effectively collaborate with on-site teams and laboratories?

Remote Metallurgical Engineers typically rely on digital communication tools, such as video conferencing and collaborative platforms, to stay connected with on-site teams and laboratory staff. They often participate in regular virtual meetings to review project progress, analyze test results, and address technical challenges. Sharing detailed documentation, test protocols, and data files electronically is common, ensuring all team members have access to the necessary information. Building strong communication habits and being proactive about follow-ups are key for remote engineers to maintain alignment and contribute effectively to project goals.

What are the key skills and qualifications needed to thrive as a remote metallurgical engineer, and why are they important?

To thrive as a Remote Metallurgical Engineer, you need a solid background in metallurgy or materials science, typically supported by a relevant engineering degree and experience in metals processing or analysis. Familiarity with simulation software (such as Thermo-Calc or ANSYS), data analysis tools, and knowledge of industry standards and certifications like Professional Engineer (PE) licensure are often required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and delivering actionable insights. These competencies ensure accurate materials evaluations, efficient remote teamwork, and successful project outcomes in metallurgical engineering.

What is the difference between Remote Metallurgical Engineer vs Remote Materials Scientist?

AspectRemote Metallurgical EngineerRemote Materials Scientist
CredentialsBachelor's or Master's in Metallurgy, Materials Science, or related fields; certifications like ASM or NACEBachelor's or Master's in Materials Science, Chemistry, or Physics; similar certifications
Work EnvironmentDesigning and testing metals, overseeing manufacturing processes, analyzing material propertiesResearching material behaviors, developing new materials, analyzing samples in labs or remotely
Industry UsageMining, manufacturing, aerospace, automotiveResearch institutions, R&D departments, manufacturing innovation

Remote Metallurgical Engineers focus on metal properties and manufacturing processes, while Remote Materials Scientists emphasize research and development of new materials. Both roles require similar education and certifications, but their daily tasks and industry applications differ.

What are popular job titles related to Remote Metallurgical Engineer jobs in Addison, IL?

For Remote Metallurgical Engineer jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Remote Metallurgical Engineer jobs in Addison, IL look for?

The top searched job categories for Remote Metallurgical Engineer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Remote Metallurgical Engineer jobs?

Cities near Addison, IL with the most Remote Metallurgical Engineer job openings:

Remote Metallurgical Engineer jobs near you
Infographic showing various Remote Metallurgical Engineer job openings in Addison, IL as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 22% In-person, and 78% Remote job distribution, with an average salary of $94,205 per year, or $45.3 per hour.

Mid Level MLOps Engineer/Remote EST/CST

Motion Recruitment

Chicago, IL • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New

Job description

Our client is a global performance marketing organization operating at the intersection of brand marketing, technology, and analytics, helping businesses design and manage data-driven marketing and brand strategies. They are hiring for a Mid-Level AI/ML Ops Engineer to build and maintain the infrastructure, deployment pipelines, monitoring, and cloud systems that gets AI and machine learning models into production reliably, securely, and at scale.
This is a hands-on opportunity to own the operational backbone of a growing AI practice, working side by side with AI Engineers and the AI Tech Lead rather than setting architecture in isolation. You will take deployment and infrastructure requirements and turn them into dependable, monitored production systems, all while deepening your expertise across MLOps, cloud AI platforms, and LLM deployment. It is a great fit for someone who is detail oriented and reliability focused, stays calm and methodical when production issues come up, and wants room to grow into a stronger voice on the operational side of AI/ML.
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or comparable experience
  • 3-5 years of experience in DevOps, MLOps, data engineering, or a related infrastructure/operations role
  • Hands-on experience deploying machine learning models into production environments
  • Working knowledge of Databricks and cloud AI platforms (AWS preferred, including familiarity with services like Bedrock)
  • Experience with containerization and orchestration tools (Docker, Kubernetes or equivalent)
  • Proficiency in Python and familiarity with CI/CD tooling
  • Experience with monitoring and observability tooling for production systems
  • Solid understanding of data analytics fundamentals
Desired Skills & Experience
  • Familiarity with LLM deployment considerations (latency, cost, versioning)
  • Experience with SQL
What You Will Be Doing
Tech Breakdown
  • Databricks and AWS cloud AI platforms, including Bedrock
  • Docker and Kubernetes (or equivalent orchestration)
  • Python and CI/CD tooling
  • Monitoring and observability platforms
Daily Responsibilities
  • Build and maintain CI/CD pipelines for deploying AI/ML models into production
  • Implement monitoring and observability to catch performance degradation, drift, and failures early
  • Manage cloud infrastructure supporting AI workloads, including containerized services and cloud AI platforms
  • Collaborate with AI Engineers and the AI Tech Lead to translate requirements into deployment plans
  • Troubleshoot production issues and support model versioning, reproducibility, and rollback processes
  • Monitor and optimize the cost and resource efficiency of AI/ML workloads, flagging operational risks before they become incidents

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply