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Senior Machine Learning Engineer Jobs in Vermont

Hayward Tyler

Senior Design Engineer

Colchester, VT

$100K - $160K/yr

... machine design and assembly, rotordynamics, root cause analysis, and material selection. Some ... Training - Senior Design Engineers may be asked to lead training of colleagues in their areas of ...

Medium

Senior Design Engineer

Colchester, VT · On-site

$105 - $145/hr

... machine design and assembly, rotordynamics, root cause analysis, and material selection. Some ... Training - Senior Design Engineers may be asked to lead training of colleagues in their areas of ...

GE Aerospace

Sr Systems Administration Engineer

Rutland, VT · On-site

$107K - $146K/yr

Summary The Sr. Systems Administration Engineer will serve as a key technical owner for all Rutland ... You will support and improve manufacturing technologies such as machine connectivity, industrial I ...

New

Trilon Group

Senior Water Resources Engineer

Williston, VT · On-site

$85K - $105K/yr

Senior Water Resources Engineer Department: Water Resources Employment Type: Full Time Location ... Continuous Learning : Access to online courses, conferences, and learning materials to fuel your ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Vermont

Senior Machine Learning Engineer information

See Vermont salary details

$63.3K

$134.6K

$195.1K

How much do senior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior machine learning engineer in Vermont is $134,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $152,600.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Vermont? For Senior Machine Learning Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Vermont look for? The top searched job categories for Senior Machine Learning Engineer jobs in Vermont are:
What cities in Vermont are hiring for Senior Machine Learning Engineer jobs? Cities in Vermont with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,562 per year, or $64.7 per hour.

Senior Information Security Ops Analyst

BETA TECHNOLOGIES

South Burlington, VT • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
BETA Technologies is dedicated to revolutionizing electric aviation through intellectual curiosity and sustainability. They are seeking an experienced Senior Information Security Analyst to lead incident response operations, enhance security controls, and mentor junior analysts while contributing to the overall growth of their information security program.
Responsibilities:
• Lead and Mentor: Oversee incident response activities, manage triage and analysis workflows, and mentor junior security analysts to develop their technical and investigative capabilities
• Incident Response Operations: Serve as a senior responder for critical incidents; lead IR investigations from initial detection through root cause analysis and remediation; develop post-incident playbooks and lessons learned
• Security Controls: Design, implement, and optimize security controls across the enterprise; conduct control assessments, gap analyses, and recommendations for control enhancements
• Cyber Program Development: Contribute to the strategic growth and maturation of our information security program, including process improvements, tool optimization, and capability building
• AI-Driven Defense: Research, evaluate, and operationalize AI/ML solutions to enhance threat detection, anomaly identification, and security automation; work with security teams to integrate intelligent tools into our defense posture
• Threat Intelligence & Analysis: Conduct advanced threat analysis, develop indicators of compromise, and translate threat intelligence into actionable defensive measures
• Compliance & Documentation: Ensure all security activities align with regulatory requirements; maintain comprehensive documentation of security incidents, controls, and remediation efforts
• Cross-Functional Collaboration: Work with IT operations, engineering, and business units to embed security into processes and systems
Qualifications:
Required:
• 7+ years of hands-on information security operational experience
• 5+ years of incident response and forensics experience (including triage, analysis, containment, and eradication)
• Demonstrated expertise in security controls design, implementation, and assessment
• Proven ability to mentor and develop junior security professionals
• Significant experience leading or contributing to the growth and maturation of information security programs
• Strong analytical and problem-solving skills with the ability to work under pressure
• Excellent written and verbal communication skills
• Relevant security certifications (GIAC, CISSP, CEH, or equivalent)
• Experience with SIEM platforms, endpoint detection and response (EDR), and security orchestration tools
Preferred:
• AI/ML in Cybersecurity: Hands-on experience implementing or leveraging machine learning and AI technologies to enhance detection, threat hunting, or automated response
• Enterprise Security Tools: Familiarity with platforms like Splunk, Elastic, CrowdStrike, Sentinel, or similar
• Threat Hunting: Advanced experience in proactive threat hunting and using data science techniques to identify threats
• Programming/Scripting: Proficiency in Python, PowerShell, or similar languages to automate security tasks
• Software assurance: Record of improving the security of applications through code review.
• Cloud Security: Experience securing cloud environments (AWS, Azure, GCP)
• Industry Leadership: History of speaking, publishing, or contributing thought leadership in the security community
Company:
Beta Technologies builds electric VTOL and CTOL aircraft, charging systems, and training programs focused on operational simplicity. Founded in 2017, the company is headquartered in South Burlington, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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