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Remote Machine Learning Jobs in Vermont (NOW HIRING)

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Remote Machine Learning information

See Vermont salary details

$27.1K

$45.3K

$93.6K

How much do remote machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning in Vermont is $45,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $48,900.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Vermont? The most popular types of Machine Learning jobs in Vermont are:
What job categories do people searching Remote Machine Learning jobs in Vermont look for? The top searched job categories for Remote Machine Learning jobs in Vermont are:
What cities in Vermont are hiring for Remote Machine Learning jobs? Cities in Vermont with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Vermont as of May 2026, with employment types broken down into 2% Internship, 2% As Needed, 38% Full Time, 54% Part Time, 2% Temporary, and 2% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $45,277 per year, or $21.8 per hour.
Senior CAM Software Engineer

Senior CAM Software Engineer

Concepts NREC

White River Junction, VT • On-site, Remote

$100K - $130K/yr

Other

Posted 9 days ago

Job description

Description

Position Type: Full Time Salary

Work Model: Remote


POSITION SUMMARY

The Senior CAM Software Engineer leads the development and enhancement of computer-aided manufacturing (CAM) software used to produce complex turbomachinery components. This role blends deep software engineering expertise with manufacturing knowledge, enabling high-performance, precision machining solutions.


You will play a key role in developing the product and collaborating with both software and manufacturing teams to deliver robust solutions.


KEY RESPONSIBILITIES

Software Development & Architecture

  • Design, develop, and maintain CAM software features
  • Lead system design and architecture decisions
  • Implement user interface elements 
  • Write high-performance, maintainable code

CAM & Manufacturing Integration

  • Develop toolpath programming functions for multi-axis CNC machining
  • Optimize user efficiency and experience
  • Integrate various internal and 3rd party components
  • Collaborate with manufacturing engineers to validate and refine outputs
  • Interface the product with internal and external manufacturing operations

Technical Leadership

  • Mentor junior engineers and contribute to team development
  • Promote best practices in software development
  • Drive continuous improvement in software performance and usability

Cross-Functional Collaboration

  • Partner with product management to define requirements and roadmap priorities
  • Work closely with turbomachinery design and manufacturing teams
  • Support customer-facing teams with technical expertise as needed

Innovation & Continuous Improvement

  • Research and implement new technologies in CAM, automation, and simulation
  • Contribute to long-term product strategy and differentiation

Requirements

QUALIFICATIONS

Required

  • Bachelor's or Master's degree in Computer Science, Mechanical Engineering, or related field
  • 5+ years of software development experience, preferably in CAM or CAD/CAM systems
  • Strong programming skills in C++ and Python
  • Experience with geometric modeling, computational geometry, or 3D algorithms
  • Solid understanding of CNC machining processes

Preferred

  • Experience with multi-axis (4- or 5-axis) machining
  • Background in turbomachinery or complex rotating equipment
  • Familiarity with CAD/CAM platforms/kernels
  • Knowledge of toolpath optimization and simulation
  • Experience working in Agile or iterative development environments

Key Competencies

  • Deep technical expertise and problem-solving ability
  • Strong collaboration across software and manufacturing teams
  • Attention to detail and commitment to quality
  • Ability to translate complex engineering challenges into software solutions
  • Innovative mindset with a focus on continuous improvement

The compensation range posted represents the full salary range for the role. Actual pay will be determined based on a candidate's experience, skills, and the position level ultimately offered.

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