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Remote Machine Shop Manager Jobs in Denver, CO (NOW HIRING)

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

... remote sensing datasets, observational datasets, and model output. Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets ...

... remote sensing datasets, observational datasets, and model output. Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets ...

Senior Machine Learning Scientist

Boulder, CO ยท On-site +1

$96K - $131K/yr

... remote sensing datasets, observational datasets, and model output. Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets ...

Senior Machine Learning Scientist

Boulder, CO ยท On-site +1

$96K - $131K/yr

... remote sensing datasets, observational datasets, and model output. Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets ...

A minimum of 6 years of proven sales leadership experience, including managing remote outside/field sales teams. * Experience with heavy equipment and machinery, such as construction equipment ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

Hybrid - onsite and remote Responsibilities * Manage capital engineering projects from initiation ... Conduct vendor/shop inspections and witness equipment testing when needed. * Collaborate cross ...

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Remote Machine Shop Manager information

See Denver, CO salary details

$37.6K

$78.6K

$123K

How much do remote machine shop manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine shop manager in Denver, CO is $78,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is a remote machine shop manager?

Remote Machine Shop Managers are professionals who oversee the operations of a machine shop from a remote location, using digital tools and communication platforms. Their responsibilities typically include managing staff, coordinating production schedules, ensuring quality control, maintaining equipment, and handling administrative tasks. They rely on technology to monitor workflows, track inventory, and communicate with both on-site employees and clients. This role requires strong organizational, leadership, and problem-solving skills, as well as a solid understanding of machining processes and remote management best practices.

What are the key skills and qualifications needed to thrive as a remote machine shop manager?

To thrive as a Remote Machine Shop Manager, you need strong knowledge of machining processes, production planning, and quality control, typically backed by experience in manufacturing and a relevant technical degree. Familiarity with CAD/CAM software, ERP systems, and remote monitoring tools is crucial for overseeing operations and workflow. Excellent leadership, problem-solving, and virtual communication skills help manage teams and resolve issues from a distance. These abilities ensure efficient production, maintain high standards, and drive team performance in a remote manufacturing environment.

How does a remote machine shop manager effectively oversee operations and ensure quality control from a distance?

A Remote Machine Shop Manager utilizes digital tools and regular communication to monitor production schedules, equipment maintenance, and staff performance. They often rely on manufacturing management software to track workflow, set priorities, and receive real-time updates from on-site supervisors. Building strong relationships with on-site team members and implementing standardized procedures are key to maintaining quality and addressing issues quickly. Frequent virtual meetings and clear reporting protocols help ensure that operations run smoothly despite the physical distance.

What is the difference between Remote Machine Shop Manager vs Remote CNC Programmer?

AspectRemote Machine Shop ManagerRemote CNC Programmer
CredentialsExperience in shop management, technical skills, certifications in machining or manufacturingTechnical CNC programming certifications, experience with CAD/CAM software
Work EnvironmentOversees shop operations remotely, collaborates with on-site staffCreates CNC programs remotely, often from home or office
Industry UsageUsed in manufacturing, machining, and production facilitiesCommon in manufacturing, aerospace, automotive industries

The Remote Machine Shop Manager focuses on overseeing shop operations and managing staff remotely, requiring leadership and management skills. In contrast, the Remote CNC Programmer specializes in creating CNC programs from a remote location, emphasizing technical and software expertise. Both roles are vital in manufacturing environments but serve different functions within the production process.

What are popular job titles related to Remote Machine Shop Manager jobs in Denver, CO?

For Remote Machine Shop Manager jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Remote Machine Shop Manager jobs in Denver, CO look for?

The top searched job categories for Remote Machine Shop Manager jobs in Denver, CO are:

Infographic showing various Remote Machine Shop Manager job openings in Denver, CO as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Temporary. Highlights an 100% Remote job distribution, with an average salary of $78,583 per year, or $37.8 per hour.

Machine Learning Engineer

Canals

Denver, CO โ€ข Remote

Full-time

Re-posted 12 days ago


Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do
  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring
  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.