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

Adecco

Machine Operators

Nashua, NH

$22 - $26/hr

Candidates should be comfortable using computers, learning new processes, and working in a fast ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Adecco

Machine Operators

Nashua, NH

$22 - $26/hr

Candidates should be comfortable using computers, learning new processes, and working in a fast ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Adecco

Machine Operators

Nashua, NH

$22 - $26/hr

Candidates should be comfortable using computers, learning new processes, and working in a fast ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Adecco

Machine Operator

Nashua, NH

$21.85 - $22.80/hr

We are looking for dependable individuals who are comfortable working with computers, learning new ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Adecco

Machine Operator

Nashua, NH

$21.85 - $22.80/hr

We are looking for dependable individuals who are comfortable working with computers, learning new ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Adecco

Machine Operator

Nashua, NH · On-site

$22.80/hr

We are looking for dependable individuals who are comfortable working with computers, learning new ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

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Showing results 1-20

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 Jul 26, 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, and why are they important?

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.
Associate Machine Learning jobs near you
Research Scientist or Postdoctoral Associate in Formal Methods for Security and Machine Learning

Research Scientist or Postdoctoral Associate in Formal Methods for Security and Machine Learning

UMass Lowell

Lowell, MA • On-site

$70K - $85K/yr

Other

Posted 20 days ago

Job description

General Summary of Position:

The Programming Languages research group (PLOW), led by Prof. Anitha Gollamudi at the Richard Miner School of Computer Science and Information, invites applications for a postdoctoral associate or research scientist position in the area of formal methods for security and machine learning.

Minimum Qualifications:

Postdoctoral Research Associate:

Education:

  • PhD in Computer Science, Mathematics or a related field

Research Scientist:

Education:

  • PhD in Computer Science, Computer Engineering, Mathematics

Experience:

  • At least one postdoctoral or post-PhD research (min: 2 years, full time) related experience

Common Skills:

  • Publications in top-tier venues in at least one of the following areas: security, programming languages, or machine learning
  • Strong programming skills and motivation to pursue independent research

Additional Considerations:

  • Background in cryptography or machine learning
  • Expertise in numerical methods is a significant plus
  • Expertise in GPU programming (or High Performance Computing) is a significant plus
  • Experience with formal methods and enthusiasm for applying them to security and/or machine learning
  • Applicants should have excellent written and oral communication skills
  • Ability to work independently, with limited direction, as well as within a team environment.

Special Instructions to Applicants:

Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

This is a full-time, grant-funded, benefited position with an anticipated hiring range of $70,000-$85,000, and an anticipated starting salary of $70,000 for the position of research scientist. Anticipated hiring range for postdoc is $60,000-70,000. The specific title (postdoctoral associate or research scientist) will depend on the candidate's qualifications and experience.

This position is contingent upon funding, productivity, successful performance and the availability of funding. The initial appointment is for one year, with the possibility of renewal based on productivity, successful performance, and the availability of funding.

Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received.

Please include a curriculum vitae (CV), cover letter, research statement and publication list with your application. Names and contact information for three references will be required during the application process.


The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.
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About Umass Lowell

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Lowell, MA, US

Year founded

2021

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