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No Experience Machine Learning Jobs in Derry, NH

Onto Innovation

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

Preferred : • Experience with machine learning, image processing, CUDA, or hardware control. • Experience in the semiconductor industry or a related field. • Experience with Agile, Scrum, or ...

Collabera

Quality Assurance Technician

North Reading, MA · On-site

$28 - $30/hr

Internship, co-op, or professional experience supporting robotics, automation, AI, or machine learning projects. * Experience working with robotic systems, computer vision, or data collection for AI ...

Varsity Tutors

Data Science Tutor

Lowell, MA · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Lawrence, MA · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Manchester, NH Area Employer

Be Seen First

Machine Shop Operations Manager

Manchester, NH · On-site

$70K - $100K/yr

We are an established CNC machine shop looking for an experienced manufacturing professional who ... learning an established business alongside an experienced owner. Bring your manufacturing ...

Manchester, NH Area Employer

Be Seen First

Machine Shop Operations Manager

Manchester, NH · On-site

$70K - $100K/yr

We are an established CNC machine shop looking for an experienced manufacturing professional who ... learning an established business alongside an experienced owner. Bring your manufacturing ...

Collabera LLC

Quality Assurance Analyst

North Reading, MA · On-site

$28 - $30/hr

Internship, co-op, or professional experience supporting robotics, automation, AI, or machine learning projects. * Experience working with robotic systems, computer vision, or data collection for AI ...

Symbotic

UX Researcher

Wilmington, MA · On-site

Applying next-gen technology, high-density storage and machine learning to solve today's complex ... and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO ...

Symbotic

UX Researcher

Wilmington, MA · Hybrid

Applying next-gen technology, high-density storage and machine learning to solve today's complex ... and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO ...

Adecco

CNC Machinist

Nashua, NH · On-site

$27 - $32/hr

Experience with machine setup and basic programming required * Experience with Mastercam strongly ... Commitment to continuous learning and process improvement If you are interested in this position ...

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No Experience Machine Learning information

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$14

$23

$31

How much do no experience machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for no experience machine learning in Derry, NH is $23.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $25.72 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What job categories do people searching No Experience Machine Learning jobs in Derry, NH look for?

The top searched job categories for No Experience Machine Learning jobs in Derry, NH are:

What cities near Derry, NH are hiring for No Experience Machine Learning jobs?

Cities near Derry, NH with the most No Experience Machine Learning job openings:

No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Derry, NH as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $47,881 per year, or $23 per hour.

Applied Scientist - ML and Robotics

Amazon

North Reading, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

At Amazon Robotics, we design advanced robotic systems capable of intelligent perception, learning, and action alongside humans, at massive scale. Our mission is to deploy robots that increase productivity and efficiency across Amazon fulfillment centers while operating safely and robustly in complex, contact-rich environments.
We are seeking an Applied Scientist to develop manipulation controllers for robotic systems operating in contact-rich, uncertain environments. In this role, you will design force-aware control strategies grounded in impedance/admittance frameworks and augment them with data-driven policy learning to achieve robust, adaptive manipulation behaviors

You will combine physics-based modeling, control-theoretic design, and machine learning to build manipulation capabilities that generalize across objects, tasks, and operational conditions.
You will collaborate closely with experts in perception, machine learning, motion planning, controls, and software engineering to deliver solutions that perform reliably on real hardware at production scale. As part of this role, you will study and extend relevant academic and industry research in robot learning and manipulation, prototype and validate learned policies in simulation and on hardware, and transition successful approaches into production systems. Successful candidates demonstrate strong intuition for physical systems, experience applying ML to robotics problems, and the ability to reason about failure modes, edge cases, and deployment constraints in contact-rich manipulation

Clear communication, hands-on experimentation, and a bias toward practical impact are essential.
Key job responsibilities
- Research, design, implement, and evaluate machine learning-based manipulation policies for contact-rich tasks, integrating learning with feedback control, estimation, and motion planning.
- Develop learning frameworks that leverage simulation, real-world data, and hybrid physics- and data-driven models to enable robust agency interaction, grasping, insertion, and object handling.
- Design and execute experiments in simulation and on hardware to train, validate, and stress-test learned manipulation policies under real-world variability and uncertainty.
- Collaborate with software engineering teams to deliver scalable, real-time, and maintainable implementations of learning-based manipulation algorithms in production robotic systems.
- Partner with cross-functional teams across perception, hardware, systems engineering, science, and operations to transition learned policies from research prototypes to reliable, production-ready capabilities across Amazon Robotics platforms.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1

Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4.

401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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