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Machine Learning Engineer Jobs in Burlington, VT

HEICO

Engineer

Essex Junction, VT

$75K - $90K/yr

And in using quality PMA parts for the Air Cycle Machine's rotating group on the CRJ & Dash 8 ... Reverse engineer, troubleshoot, and repair of various aircraft components, both electrical and ...

Heico

Engineer

Essex Junction, VT

$75K - $90K/yr

And in using quality PMA parts for the Air Cycle Machine's rotating group on the CRJ & Dash 8 ... Reverse engineer, troubleshoot, and repair of various aircraft components, both electrical and ...

Cox

Software Engineer I

Burlington, VT

We are looking for a Software Engineer I who is eager to learn, grow, and contribute to a high ... You will begin learning how to leverage AI tools such as GitHub Copilot, Claude Code, and MCP-based ...

Cox Communications, Inc.

Software Engineer I

Burlington, VT · On-site +1

$74K - $111K/yr

You will begin learning how to leverage AI tools such as GitHub Copilot, Claude Code, and MCP-based ... We are a collaborative team that values engineering craft, continuous improvement, and building ...

Thomson Reuters

Data Engineer

Burlington, VT · On-site

$114K - $138K/yr

By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills ...

THOMSON REUTERS

Data Engineer

Burlington, VT · Hybrid

$114K - $138K/yr

By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Burlington, VT

Machine Learning Engineer information

See Burlington, VT salary details

$31.6K

$129.3K

$194.2K

How much do machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer in Burlington, VT is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $155,600.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Burlington, VT? The most popular types of Machine Learning Engineer jobs in Burlington, VT are:
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Machine Learning Engineer jobs near you
Manager, AI Platform & Ecosystem

Manager, AI Platform & Ecosystem

OnLogic

South Burlington, VT • On-site

$146K/yr

Full-time

Retirement

Posted 22 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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