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Remote Machine Learning Jobs in Maine (NOW HIRING)

Redfish Recruiting

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 ...

NinjaOne

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 ...

NinjaOne

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 ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Maine

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 Jul 21, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

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.

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.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
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:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Maine as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $41,229 per year, or $19.8 per hour.
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

Re-posted 14 days ago

IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

57th of 105 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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