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Associate Machine Learning Jobs in Nashua, NH (NOW HIRING)

Adecco

CNC Machinist

Nashua, NH

$27 - $32/hr

Perform multiple machine setups per shift on CNC equipment, including Haas machines * Prepare CAM ... Commitment to continuous learning and process improvement If you are interested in this position ...

Adecco

CNC Machinist

Nashua, NH · On-site

$27 - $32/hr

Perform multiple machine setups per shift on CNC equipment, including Haas machines * Prepare CAM ... Commitment to continuous learning and process improvement If you are interested in this position ...

Mpr Associates, Inc.

Summer/Co-op Engineer

Burlington, MA

$1.0K - $1.4K/wk

... machine learning, quality assurance, and process development)) * Capital Project Management and ... MPR Associates, Inc. is an equal opportunity and affirmative action employer, who participates in E ...

QinetiQ

Associate Manufacturing Engineer

Sudbury, MA · On-site

$60K - $80K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Position Overview QinetiQ US is looking to hire an Associate Manufacturing Engineer to help sustain ...

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Showing results 21-40

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Nashua, NH

Associate Machine Learning information

See Nashua, NH salary details

$31.8K

$134.4K

$317.7K

How much do associate machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate machine learning in Nashua, NH is $134,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $204,000.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the most commonly searched types of Machine Learning jobs in Nashua, NH?

The most popular types of Machine Learning jobs in Nashua, NH are:

Associate Machine Learning jobs near you

Sr Manager, Annotation Ops Integration, GO-AI

Amazon

North Reading, MA • On-site

Full-time

Re-posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,089 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

GO-AI is a technology enablement organization that accelerates the development and enhances the performance of AI-based robotic and automation solutions for Amazon Robotics (AR) and key Worldwide Operations programs. We combine human expertise with machine learning to produce high-quality training data, validate model outputs, and continuously improve AI system performance across many annotation programs and a large global workforce.
This Senior Manager, Technical Product Management will lead central operations functions within GO-AI, including quality assurance, labor planning and capacity management, and people development initiatives (upskilling, learning programs, career progression). You will own the strategy for GO-AI operations capabilities and evolution, translating demand signals into production-ready capacity plans and converting program-specific operational patterns into scalable, repeatable processes

You will drive operational efficiency initiatives, evaluate and adopt tools to improve workforce planning and utilization, and lead AI-enabled process improvement across the organization.
As GO-AI evolves from a labor-led service to a tech-enabled operation, this role will ensure the operational foundation, including workforce readiness, quality standards, and capacity planning, adapts in step with that transformation.
Key job responsibilities
- Define and execute the strategy for GO-AI's central operations capabilities, ensuring quality, capacity, and people development functions operate as a unified, scalable system
- Deliver annual operational efficiency targets through kaizen, process automation, and workforce utilization improvements
- Translate variable customer demand into reliable capacity plans that balance cost, quality, and delivery speed
- Convert program-specific operational patterns into standardized service offerings that scale across the portfolio
- Own the associate lifecycle from onboarding through upskilling, ensuring workforce readiness keeps pace with new program launches and evolving AI model requirements
- Lead tool strategy for workforce planning and capacity management, driving adoption of platforms that replace manual processes
- Represent operations in cross-functional forums with engineering, science, and product leadership
- Lead and develop a geographically distributed team across the United States, India, and Costa Rica, ensuring alignment and operational consistency across time zones.

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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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