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Remote Machine Learning Jobs in Maine (NOW HIRING)

$117K - $154K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... pipelines and machine learning models. o Understanding of Generative AI and Deep Learning ...

Remote in the following states: GA, FL, MA, NY, NJ, NC, PA, SC, TN, TX, VT, VA, WI Classification ... Research and recommend emerging technologies (e.g., AI, machine learning, generative content tools ...

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 ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA , CO , CT , FL , GA , *IL , KS , MD, ME , MA , NJ , NC , NY , OR ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA , CO , CT , FL , GA , *IL , KS , MA, MD, ME , NJ , NC , NY, OR ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA , CO , CT , FL , GA , *IL , KS , MA , MD, ME , NJ , NC , NY , OR ...

Remote Machine Learning information

See Maine salary details

$24.7K

$41.2K

$85.2K

How much do remote machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote machine learning in Maine is $41,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Maine? The most popular types of Machine Learning jobs in Maine are:
What are popular job titles related to Remote Machine Learning jobs in Maine? For Remote Machine Learning jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Maine look for? The top searched job categories for Remote Machine Learning jobs in Maine are:
What cities in Maine are hiring for Remote Machine Learning jobs? Cities in Maine with the most Remote Machine Learning job openings:
Application Developer Sr II

Application Developer Sr II

IDEXX Laboratories, Inc.

Westbrook, ME • On-site, Remote

$130K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

58th of 103 rated laboratories


Job description

As an Application Developer Sr II, you will design and build software and data solutions that enable advanced clinical insights using modern technologies. You will collaborate with a high-performing Scrum team to deliver innovative capabilities that improve pet health outcomes. This role is fully remote and offers the opportunity to work on impactful initiatives using IDEXX's core clinical data assets.
The Clinical Information Services team is focused on developing scalable data, machine learning, and application solutions that drive meaningful insights in veterinary care. You will work alongside software engineers, data engineers, and data scientists to deliver industry-leading capabilities.
In this role:
  • You will design, implement proofs of concept, and develop data pipelines and integrations
  • You will contribute to machine learning and application development efforts supporting clinical insights initiatives
  • You will participate in business planning as well as technical architecture and infrastructure strategy
  • You will innovate across technology, development practices, and team processes
  • You will collaborate closely with Architects, Developers, QA Engineers, DevOps, Product Owners, and Scrum Masters across remote teams
  • You will work within a Scrum-based Agile environment to deliver high-quality solutions
  • You will mentor and coach junior developers and QA team members
  • You will continuously learn new technologies and share knowledge with peers

Why this role matters:
This role plays a critical part in advancing IDEXX's ability to generate actionable clinical insights that improve animal health worldwide. Your contributions will directly impact how data is leveraged to drive innovation in veterinary medicine, helping clinicians make better decisions and improving outcomes for pets and livestock.
What you need to succeed:
  • Proficiency with one or more major cloud providers (AWS preferred)
  • Strong programming skills in Java 17 and Python 3
  • Experience with relational databases (AWS MySQL Aurora)
  • Experience with Databricks
  • Experience with infrastructure-as-code tools (Terraform)
  • Experience with AWS services (API Gateway, AWS Lambda, SQS, S3)
  • Proficiency with GitHub and GitHub Actions
  • Experience building CI/CD pipelines
  • Familiarity with tools such as JIRA, Confluence, Slack, and MS Teams
  • Ability to rapidly learn and adapt to new technologies
  • Strong collaboration and communication skills

Preferred:
  • Familiarity with Snowflake
  • Experience with domain-driven design (DDD)

What you can expect from us:
  • Salary: $130,000 - $145,000 / year
  • Opportunity for annual cash bonus
  • Health / Dental / Vision benefits starting Day-One
  • 5% matching 401k
  • Additional benefits including financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more

Why IDEXX:
We're proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease.
Our culture embraces challenges and encourages learning and discovery. At IDEXX, you'll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you'll find it here.
Let's pursue what matters together.
Equal Opportunity Statement:
IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.
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