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Machine Learning Jobs in Burlington, VT (NOW HIRING)

Marvell

Staff DFT Engineer

Burlington, VT

... machine learning to wired and wireless infrastructure. The Design-for-Test (DFT) team is a global team that impacts chip design from inception all the way to manufacturing production. Rigorous DFT ...

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See Burlington, VT salary details

$25.1K

$42K

$86.7K

How much do machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning in Burlington, VT is $41,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

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 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.

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.
More about Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Burlington, VT? The most popular types of Machine Learning jobs in Burlington, VT are:
What job categories do people searching Machine Learning jobs in Burlington, VT look for? The top searched job categories for Machine Learning jobs in Burlington, VT are:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Burlington, VT as of May 2026, with employment types broken down into 48% Full Time, 49% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $41,966 per year, or $20.2 per hour.
Manager, AI Platform & Ecosystem

Manager, AI Platform & Ecosystem

OnLogic

South Burlington, VT • On-site

$146.60K/yr

Full-time

Retirement

Posted 13 days ago

Job description

In this newly created leadership role within our Operational Excellence team, you will ignite innovation at OnLogic by designing and deploying high-impact AI solutions within our organization that drive significant business value. Success will be launching cutting-edge tools and championing systems and process shifts that ensure our AI initiatives are reliable and scalable.
We believe in the power of in-person collaboration and the benefits of a strong workplace community. Therefore, this role requires an onsite presence at our South Burlington, Vermont office. We encourage candidates who are able to relocate or comfortably commute to apply.
In this role, you'll be responsible for:
  • Effectively deploying AI across OnLogic, including driving the systems and structure needed to maintain the tools after implementation.
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to ongoing projects.
  • Lead the development of new AI-powered features and products, identifying opportunities for innovation within the company.
  • Guide business process to support AI implementations and automation.
  • Determine feasibility for new AI projects that provide real business value.
  • Monitor and evaluate the performance of AI in production, ensuring reliability and scalability.
  • Manage and mentor a team of AI/ML developers.

The team you will be joining:
Our Operational Excellence team is responsible for driving efficiencies and effectiveness across all functions of our global organization. This is accomplished by leveraging automation and a multitude of other improvement processes. Always living up the way we work through innovation and process optimization, these team members work closely with all departments in identifying opportunities and implementing solutions to sustain gains in operational excellence.
Learn more about Life at OnLogic: www.onlogic.com/life-at-onlogic
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a similar technical/business field.
  • 5+ years of experience in AI/ML development and deployment, with at least 2 years in a leadership role managing technical teams.
  • Deep proficiency in Machine Learning (Supervised/Unsupervised), LLMs, and Computer Vision within industrial or manufacturing contexts.
  • Proven track record of orchestrating the full AI lifecycle, from ROI assessment to governance and long-term maintenance.
  • Experience designing scalable AI systems integrated with cloud platforms (AWS/Azure), Edge AI, and enterprise systems like MES or ERP.
  • Experience with data pipeline oversight, ensuring integrity, quality, and compliance with global standards (GDPR, NIST AI RMF).
  • Ability to work in the U.S. without visa sponsorship.

Who we're looking for:
  • Someone who thrives in an open and transparent culture. They hold themselves and other team members accountable in a constructive manner to drive productivity and achieve established goals.
  • A colleague who is independent, creative, and motivated to proactively drive continuous improvement; they have the ability to pick up new processes and technologies quickly and efficiently, and to learn and improve their knowledge to meet changes in company systems and requirements.
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to effectively operate in a collaborative, fast-paced environment and adapt to changing demands.

Who we are:
OnLogic employees have the opportunity to shape our future and drive impactful change. We design and manufacture specialized computers and hardware solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others fail, and it's our vision to be the first choice in industrial computing. To make that vision a reality, we've built a team of ambitious problem solvers, guided by the company's core values of Open, Fair, Innovative, and Independent. We have an open office, open salaries, and strive to be fair and transparent in our decision making. We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day.
Diversity is an essential element of our core values. Not just respecting, but actively embracing a variety of backgrounds, life experiences, and opinions, helps us foster innovation, enhances our problem-solving capabilities, and promotes learning and engagement among the members of our team. We strongly encourage those with diverse backgrounds to apply.
We are committed to providing a safe, inclusive, and harassment-free workplace for all employees. We do not tolerate any form of harassment, discrimination, or bias based on race, ethnicity, gender, sexual orientation, religion, disability, age, or any other protected characteristic.
To learn more about our values, our mission and what it's like to work at OnLogic, visit www.onlogic.com/careers.
Benefits
The salary range for this role is $170,000 - $190,000. We determine final compensation based on discussions with applicants and their experience in similar roles.
  • A competitive Salary based upon your experience and the requirements of the role
  • A comprehensive Benefits package
  • 401k Plan with 3% Employer Contribution
  • An Annual Profit Share Bonus
  • Paid Maternity & Paternity Leave, and Short & Long Term Disability
  • Opportunity to Participate in our Employee Stock Purchase Plan
  • A personal development plan created to help you (and us) grow

#LI-Onsite #LI-SBG

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