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Remote Python Machine Learning Jobs in New Hampshire

Machine Learning Engineer - Cloud

Dover, NH · On-site +1

$86K - $135K/yr

Proficiency in programming languages such as Python, R, Java, or C++ for developing and optimizing machine learning algorithms. * Familiarity with big data technologies and distributed computing ...

Python-based) to improve efficiency and consistency across teams * Translate experimental AI ... Experience with machine learning concepts (e.g. model training, LoRAs, data pipelines)

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Remote Python Machine Learning information

See New Hampshire salary details

$12

$57

$83

How much do remote python machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote python machine learning in New Hampshire is $57.01, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.76 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are popular job titles related to Remote Python Machine Learning jobs in New Hampshire? For Remote Python Machine Learning jobs in New Hampshire, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in New Hampshire look for? The top searched job categories for Remote Python Machine Learning jobs in New Hampshire are:
What cities in New Hampshire are hiring for Remote Python Machine Learning jobs? Cities in New Hampshire with the most Remote Python Machine Learning job openings:

Machine Learning Engineer - Cloud

GN Group

Dover, NH • On-site, Remote

$86K - $135K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Job description

Machine Learning Engineer - Cloud

*Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell, MA.

Turn up the volume on your career as Cloud AI/ML Engineer

GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhances the senses of hearing and sight.

We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.

The team you will be part of

You will be joining our team focused on developing the Jabra Perform and BlueParrott product lines, aimed at improving tools for frontline workers.

As part of the team, you will design and deliver machine learning models and cloud-based systems that power and enhance frontline worker devices. You will train, fine-tune, and optimize models for production grade performance, contributing to scalable and reliable ML services. You will help build and maintain the team's end-to-end workflows: Developing data pipelines, generating datasets, creating evaluation frameworks, and implementing backend services that support our devices and applications. In this role, you will collaborate across disciplines to shape new features and bring impactful products to market.

Your contribution is appreciated, and you will

  • Design, build, and train scalable machine learning models and algorithms for cloud-based environments.
  • Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement.
  • Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale.
  • Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure.
  • Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices.
  • Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation.
  • Build strong collaborative relationships with technical subject matter experts, stakeholders, and leadership across the organization.
  • Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery.

Sounds good so far? To thrive in this role, we envision that you bring

  • 2+ years of experience in deploying and optimizing ML models in a production environment using cloud platforms like AWS, GCP, or Azure.
  • Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) with practical experience in designing and implementing ML models.
  • Proficiency in programming languages such as Python, R, Java, or C++ for developing and optimizing machine learning algorithms.
  • Familiarity with big data technologies and distributed computing frameworks for handling and processing large datasets.
  • Fundamentals of audio and speech signal processing.

Pay Transparency Notice

  • Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00. In addition, you may be eligible for a discretionary bonus.
  • Compensation for roles at GN depends on a wide array of factors including but not limited to location, role, skill set, and level of experience.
  • To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays.

We encourage you to apply

Even if you do not match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We greatly appreciate a mindset and motivation that aligns with our core values, helping both you and your team to thrive within the GN organization.

We are focused on an inclusive recruitment process

All applicants will receive equal consideration for employment.

Disability Accommodation

If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail careers.us@gn.com. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

Join us in bringing people closer

GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.

GN Store Nord A/S has entered into a definitive agreement for the sale of GN's Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement here.

We hope you will join us on this journey and look forward to receiving your application.

#LI-GNGroup