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Machine Learning Jobs in Vermont (NOW HIRING)

ND Group

Data Scientist

Montpelier, VT · On-site

$46.15 - $66.67/hr

Create and deploy machine learning models for business objectives in department workflows. * Maintain models both internally and cloud based. * Regularly evaluate models using theoretical methods.

Pwc

CTIO AI Engineering Manager

Montpelier, VT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

General Motors

Senior AI/ML Engineer

East Montpelier, VT · On-site +1

$107K - $147K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

SynergisticIT

Junior Java Developer

Burlington, VT · On-site

$90K - $150K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: * Recent grads in CS, Engineering, Math, or Statistics ...

Bausch + Lomb

AI Agent ML Engineer

East Montpelier, VT · On-site

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Pwc

NGA AI Engineer Manager

Montpelier, VT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Senior Manager

Montpelier, VT

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsMachine Learning JobsMachine Learning Jobs in Vermont

Machine Learning information

See Vermont salary details

$27.1K

$45.3K

$93.6K

How much do machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
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 are popular job titles related to Machine Learning jobs in Vermont? For Machine Learning jobs in Vermont, the most frequently searched job titles are:
What cities in Vermont are hiring for Machine Learning jobs? Cities in Vermont with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Vermont as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,277 per year, or $21.8 per hour.

Data Scientist

ND Group

Montpelier, VT • On-site

$46.15 - $66.67/hr

Full-time

Posted 15 days ago

Job description

Responsibilities include, but are not limited to:
  • Coordinate with all levels of management to understand and devise possible solutions for predictive analytics.
  • Create and deploy machine learning models for business objectives in department workflows.
  • Maintain models both internally and cloud based.
  • Regularly evaluate models using theoretical methods.
  • Keep up to date with latest industry trends and techniques.
  • Provide support for all departments with analytical and predictive needs.
  • Prepare needed regulatory reports needed based on Machine Learning Models.
  • Explore and implement AI-Driven solutions to business problems.
  • Streamline data-driven processes using automation.
  • Analyze financial information to determine present and future financial performance.
  • Perform complex analysis in an evolving data environment.
  • Establish databases of pertinent information for use in analyzing plans and forecasts.
  • Coordinate with all levels of management to gather, analyze, summarize, and prepare recommendations regarding financial plans, acquisition activity, new business planning, trended future requirements, government requirements, and operating forecasts.
  • Analyze peers.
  • Assist with special projects.

Requirements
  • Well-developed business acumen.
  • Ability to multi-task and handle numerous assignments simultaneously.
  • A process thinker seeking productivity and exceptional service.
  • Excellent verbal, telephone, and written communication skills.
  • Ability to work well in a team environment.
  • A professional, positive and enthusiastic attitude.
  • Advanced computer skills.
  • Excellent listening and feedback skills.
  • Good problem solving skills.
  • Effective training skills.

Desired Qualifications and Skills
  • Bachelor's degree or equivalent education and experience in a relevant field.
  • Familiarity with container-based services, such as AWS App Runner, S3, ECS, etc.
  • Strong skills in Python & SQL.

Key Measurement Metrics
  • All models in production outperform the time / value tradeoff of manual decision
  • Assessment of model performance at least quarterly
  • Models are updated at least quarterly or as needed
  • Notification established of underperforming models; models are improved or decommissioned.
  • Assessment of AI tools and processes on a regular basis to ensure accuracy and effectiveness.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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