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Associate Machine Learning Jobs in New Hampshire

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

... team by learning multiple operations * Use measurements and follow production specs Machine ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

... team by learning multiple operations * Use measurements and follow production specs Machine ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

... team by learning multiple operations * Use measurements and follow production specs Machine ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

... machine setups per shift and working in a fast-paced environment. Position: CNC Machinist Shift ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

... machine setups per shift and working in a fast-paced environment. Position: CNC Machinist Shift ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

... machine setups per shift and working in a fast-paced environment. Position: CNC Machinist Shift ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Machinist II

Lebanon, NH · On-site

$25.87 - $29.24/hr

... while learning GD&T symbols. * Select appropriate cutting tools, fixtures, and tooling systems to ... Associate's degree in management and/or Technical Certificate with 1-3 year of relevant work ...

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Showing results 1-20

Associate Machine Learning information

See New Hampshire salary details

$22.5K

$118.3K

$290K

How much do associate machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for associate machine learning in New Hampshire is $118,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $163,900.00 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.
What are the most commonly searched types of Machine Learning jobs in New Hampshire? The most popular types of Machine Learning jobs in New Hampshire are:
What are popular job titles related to Associate Machine Learning jobs in New Hampshire? For Associate Machine Learning jobs in New Hampshire, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in New Hampshire look for? The top searched job categories for Associate Machine Learning jobs in New Hampshire are:
What cities in New Hampshire are hiring for Associate Machine Learning jobs? Cities in New Hampshire with the most Associate Machine Learning job openings:
Postdoctoral Research Associate

Postdoctoral Research Associate

University System of New Hampshire

Durham, NH • On-site, Remote

$55K/yr

Full-time

Posted 26 days ago


University System Of New Hampshire rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

47th of 611 rated colleges and universities


Job description

USNH Employees should apply within Workday through the Jobs Hub app

The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how these responses are mediated by biodiversity and management across regional to global scales. The successful applicant will integrate ground-based observations (e.g., eddy covariance measurements, forest inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions.
This position is funded by NASA. The appointment is for one year initially and may be renewed depending on funding availability and satisfactory performance.

Duties/Responsibilities

  • Conduct novel research to understand how terrestrial ecosystems respond to climate extremes (e.g., drought, heatwaves) and disturbances, and how these responses are mediated by biodiversity and management, using state-of-the-art ground-based and satellite observations as well as machine learning/deep learning methods.

  • Lead manuscript preparation and conference presentations on project findings, with a strong emphasis on publishing high-quality and high-impact papers.

Requirements

Minimum Acceptable Education & Experience:

  • A Ph.D. in areas such as ecology, remote sensing, atmospheric sciences/meteorology, biogeosciences, forestry/natural resources, environmental science, or a related field is required.

Knowledge, Skills & Abilities:

  • Applicants should be enthusiastic, creative, and highly motivated. Ideal candidates should have one or more of the following experiences: mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing of large data sets, machine learning/deep learning, Earth system modeling, and synthesis of in-situ observations.

  • Strong communication, writing, and programming skills and publication record are highly desirable.

Applicant Instructions

Applicants should be prepared to upload the following documents when applying online within the Resume/Cover Letter section of your application:

  • Resume/CV

  • Cover Letter

  • Contact Information for 3 Professional References

Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.

Compensation Pay Range:

$55,000

Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures.

The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources

Location:

Durham

Salary Grade:

Faculty 01

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