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Entry Level Machine Learning Engineer Jobs in Burlington, VT

Unilever

Ice Cream Packaging Engineer

South Burlington, VT · On-site

$71K - $107K/yr

We embrace digital, use data to make better decisions, and keep learning, including how AI can help ... and machinery Preferably, experience with ArtiosCAD Leadership: Motivated, self-starter and ...

Della Chevrolet

Express Lane Technician

Plattsburgh, NY · On-site

$17 - $20/hr

Generous PTO accrual beginning your first day * 401K with company match * Entry-level tools ... Learn to use power tools, machine tools, and hand tools with training provided * Work alongside ...

Della Chevrolet

Express Lane Technician

Plattsburgh, NY · On-site

$17 - $20/hr

Generous PTO accrual beginning your first day * 401K with company match * Entry-level tools ... Learn to use power tools, machine tools, and hand tools with training provided * Work alongside ...

Della Chevrolet

Express Lane Technician

Plattsburgh, NY · On-site

$17 - $20/hr

Generous PTO accrual beginning your first day * 401K with company match * Entry-level tools ... Learn to use power tools, machine tools, and hand tools with training provided * Work alongside ...

StandardAero

Operator, Bench

Milton, VT · On-site

As an Entry Level Bench Operator (Component technician apprentice) you'll set up and operate a ... Life & AD&D Insurance * Learning & Training opportunities About Us Raising the Standard of ...

StandardAero

Operator, Bench

Milton, VT

As an Entry Level Bench Operator (Component technician apprentice) you'll set up and operate a ... Learning & Training opportunities Raising the Standard of Excellence since 1911 With over a century ...

Novolex

Electrician

Plattsburgh, NY · On-site

$35.70/hr

Performs planned electrical maintenance on all equipment and machinery for the thermoforming ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Electrician

Plattsburgh, NY · On-site

$35.70/hr

Performs planned electrical maintenance on all equipment and machinery for the thermoforming ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Electrician

Plattsburgh, NY · On-site

$35.70/hr

Performs planned electrical maintenance on all equipment and machinery for the thermoforming ... Learning Management System that supports and enhances employee skills at all levels of the ...

Centerline

Fiber Splicer, Burlington VT

Burlington, VT · On-site

$25 - $29.75/hr

Applicant must be able to complete the entry-level safety training and demonstrate safe practices ... Our technicians, engineers, and professional staff bring unmatched expertise to each job, working ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Burlington, VT

Entry Level Machine Learning Engineer information

See Burlington, VT salary details

$30.1K

$69.6K

$118.5K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level machine learning engineer in Burlington, VT is $69,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $78,800.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Burlington, VT? For Entry Level Machine Learning Engineer jobs in Burlington, VT, the most frequently searched job titles are:
What cities near Burlington, VT are hiring for Entry Level Machine Learning Engineer jobs? Cities near Burlington, VT with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Burlington, VT as of June 2026, with employment types broken down into 11% Internship, 70% Full Time, 13% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $69,634 per year, or $33.5 per hour.
Post Doctoral Associate

Post Doctoral Associate

University of Vermont

Burlington, VT

Other

Posted 14 days ago

University Of Vermont rating

8.2

Company rating: 8.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

110th of 535 rated colleges and universities

Job description

Position Details
Advertising/Posting Title Post Doctoral Associate in Civil and Environmental Engineering at UVM Posting Summary
Join a vibrant research community at the University of Vermont as a Postdoctoral Scholar. UVM is an R1 research university guided by Our Common Ground values that prioritizes transdisciplinary research and collaboration as a strategy for continued strengthening of scientific inquiry and education. Burlington is a vibrant community located on the shores of Lake Champlain, between the Adirondack and Green Mountains. With year-round recreational opportunities, safe neighborhoods and excellent schools, this progressive community has been frequently cited as being one of the healthiest and best cities in the US in which to live.
The Postdoctoral Scholar will play a key role in advancing NSF AQUA-CLIME convergence research under the supervision and mentorship of Dr. Raju Badireddy in the Department of Civil and Environmental Engineering. The position involves laboratory- and field-oriented research focused on developing and deploying novel low-cost microsensors to investigate how climate-driven disturbances- including flooding, droughts, and wildfires- affect the water quality across diverse hydroclimatic conditions, ranging from humid to arid regions. The project align with our institution's vision to pursue world-class research develop leaders in science and engineering, fostering transdisciplinary collaboration and impactful discoveries.
Research Objectives: The project tests two central hypotheses: (1) that flood, droughts, and wildfires generate substantially different nutrient and emerging contaminant sources, sinks, and transport pathways compared to similar events in other seasons; and (2) that increasingly frequent floods alter watershed function in ways that reduce nutrient retention and other contaminants. Research will build on previous work on developing low-cost nutrient electrochemical microsensors and will leverage two to three heavily instrumented Vermont watersheds spanning a range of land uses, with particular emphasis on how export pathways and processes vary seasonally.
Responsibilities: A central component of this work involves both laboratory and field validation of novel microsensors, which will be deployed alongside standard in-stream sensors and transitional grab-sampling methods. The Scholar will develop proficiency in operating a broad range of high-frequency sensing platforms and in analyzing large environmental datasets to generate insights into watershed functioning under changing climate scenarios.
Qualifications: The candidates must have a Ph.D. in Environmental Engineering or related field by the start date and demonstrate expertise in fabricating and testing microsensors for environmental contaminants in water and soil systems. Specifically, the position seeks candidates with a strong background in environmental engineering, electrochemistry, material science, environmental nanotechnology, and electronics focusing on in-situ chemical and physical sensing technologies, as is proficiency in advanced statistical analysis- particularly in R or similar- for interpreting large environmental datasets. Ideal candidates will have a robust publication record, experience with interdisciplinary projects, and a proven ability to foster inter-institutional collaborations. Additionally, they will have experience guiding undergraduate and graduate students on transformative research and high-impact journal publications, with a commitment to education, outreach, and collaborations. The candidate will have ability to effectively communicate complex concepts to diverse stakeholders.
Research Community: The successful candidate will join our cutting-edge, transdisciplinary research community (35 plus members from Vermont, South Dakota, and New Mexico) working across sensor development and distributed sensor networks, climate modeling, and Artificial Intelligence/Machine Learning. The position also offers meaningful engagement with academic, industry, farming communities and Native Americans Communities across three jurisdictions: Vermont, South Dakota, and New Mexico.
Appointment: This is a one-year position with the possibility of a one-year extension contingent on satisfactory progress. The annual salary is competitive and commensurate with federal agency guidelines, accompanied by an excellent benefits (https://www.uvm.edu/hrs/postdoctoral-associates-fellows-overview). The position provides opportunities for professional development, including media and communications training. The expected start date is August 1, 2026.
Minimum Qualifications (or equivalent combination of education and experience)
The candidates must have a Ph.D. in Environmental Engineering or related field by the start date and demonstrate expertise in fabricating and testing microsensors for environmental contaminants in water and soil systems. Specifically, the position seeks candidates with a strong background in environmental engineering, electrochemistry, material science, environmental nanotechnology, and electronics focusing on in-situ chemical and physical sensing technologies, as is proficiency in advanced statistical analysis- particularly in R or similar- for interpreting large environmental datasets. Ideal candidates will have a robust publication record, experience with interdisciplinary projects, and a proven ability to foster inter-institutional collaborations. Additionally, they will have experience guiding undergraduate and graduate students on transformative research and high-impact journal publications, with a commitment to education, outreach, and collaborations. The candidate will have ability to effectively communicate complex concepts to diverse stakeholders.
Desirable Qualifications Anticipated Pay Range $63,480 - $77,076 Other Information
Support departmental initiatives, assist with occasional teaching or guest lecturing, serve on committees, or attend training sessions as appropriate.
Special Conditions Contingent on continued funding, Background Check required for this position FLSA Exempt Union Position No
Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location Burlington, Vermont, United States Job Open Date 04/24/2026 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No
Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM's mission and advancing Our Common Ground values through the execution of their job duties.

Position Information
Position Title Post Doctoral Associate Posting Number S6063PO Department Civil & Env Engineering/54030 Position Number 00027858 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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