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Entry Level Machine Learning Engineer Jobs in Vermont

We're committed to making a positive impact on the world, providing you with diverse learning and ... programming at the machine. * Select appropriate tooling, feeds, and speeds to ensure optimal ...

Manufacturing Engineer

Bellows Falls, VT · On-site

$67K - $86.30K/yr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Demonstrated process knowledge of machining processes and inspection techniques. * Proficient in ...

Manufacturing Engineer

Bellows Falls, VT · On-site

$67K - $86.30K/yr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Demonstrated process knowledge of machining processes and inspection techniques. * Proficient in ...

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 ...

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 ...

Architectural Designer I - Washington, DC STV is seeking an entry-level Architectural Designer to ... learning how design ideas are translated into constructible projects. Role Overview As an ...

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Entry Level Machine Learning Engineer information

See Vermont salary details

$31.9K

$73.7K

$125.5K

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

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Vermont is $73,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $83,500.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Machine Learning Engineer jobs in Vermont? The most popular types of Machine Learning Engineer jobs in Vermont are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Vermont? For Entry Level Machine Learning Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Vermont look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Vermont are:
What cities in Vermont are hiring for Entry Level Machine Learning Engineer jobs? Cities in Vermont with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Vermont as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $73,749 per year, or $35.5 per hour.
Pharma Technology Consultant Senior Associate

Pharma Technology Consultant Senior Associate

Pwc

Montpelier, VT

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Pharma and Life Sciences

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Software and Product Innovation team you are responsible for managing the identification and addressing of client needs, including building GenAI and AI solutions, documenting business processes, and designing AI/GenAI architectures. As a Senior Associate you are tasked with analyzing complex problems, mentoring others, and maintaining elevated standards. You are expected to focus on building client relationships, developing a deeper understanding of the business context, and navigating increasingly complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Document and refine business processes to enhance productivity
- Mentor and guide team members to foster growth
- Build and nurture enduring client relationships
- Analyze intricate problems to develop innovative solutions
- Maintain exemplary standards of quality and professionalism
What You Must Have
- Bachelor's Degree
- 3 years of experience
What Sets You Apart
- Master's Degree in Biomedical Engineering, Chemical Engineering, Biology, Business Administration/Management, or Business Analytics, or Statistics preferred
- Building GenAI and AI solutions
- Designing AI/GenAI architectures for clients
- Managing AI/GenAI application development teams
- Utilizing Python and common LLM development frameworks
- Experience in Machine Learning and Advanced Learning
- Understanding Azure, AWS, and Google Cloud platforms
- Experience with Git Version Control and CI/CD

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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