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Python Ml Developer Jobs in South Portland, ME (NOW HIRING)

Senior Software Engineer - AI Platform

Portland, ME · Remote

$125K - $165K/yr

If you're excited by LLMs, Agentic AI systems, MLOps, and modern DevOps practices-and you thrive in ... Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI ...

Senior Software Engineer - AI Platform

Portland, ME · On-site

$125K - $165K/yr

If you're excited by LLMs, Agentic AI systems, MLOps, and modern DevOps practices-and you thrive in ... Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI ...

Senior Software Engineer - AI Platform

Portland, ME · Remote

$127K - $167K/yr

If you're excited by LLMs, Agentic AI systems, MLOps, and modern DevOps practices-and you thrive in ... Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI ...

Senior Software Engineer - AI Platform

Portland, ME · Remote

$125K - $165K/yr

If you're excited by LLMs, Agentic AI systems, MLOps, and modern DevOps practices-and you thrive in ... Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

Data Engineer

Auburn, ME

$123K - $148K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Biddeford, ME

$119K - $144K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

South Portland, ME

$118K - $142K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Portland, ME

$117K - $140K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Senior Analytics Engineer

Westbrook, ME

$106K - $145K/yr

You don't need to be an ML engineer, but you should be thinking about how structured data and ... Python for data transformation, scripting, or prototyping. * Experience with Airflow or similar ...

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Python Ml Developer information

See South Portland, ME salary details

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$60

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How much do python ml developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python ml developer in South Portland, ME is $60.24, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $68.41 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near South Portland, ME are hiring for Python Ml Developer jobs? Cities near South Portland, ME with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in South Portland, ME as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $125,291 per year, or $60.2 per hour.

AI/ML Engineer - Higher Ed

Cengage Group

Portland, ME

Other

Posted 28 days ago


Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/ .

The AI/ML Engineer - Higher Education builds AI capabilities for Cengage's higher education products to improve student engagement, learning outcomes, and instructor productivity. You will design, build, and ship production AI features integrated directly into platforms used by millions of students and faculty.

This role requires a builder who ships weekly, cares about learning science, and can design AI experiences that genuinely improve educational outcomes. The ideal candidate has experience shipping production ML or LLM features, understands the nuances of higher education workflows, and balances research-driven thinking with shipping discipline.

Key Responsibilities

HED AI Feature Development

  • Ship and improve AI features weekly across Cengage HED platforms

  • Build and integrate Student Assistant capabilities including tutoring, hinting, and feedback

  • Develop Instructor Insight Assistant features for course analytics and at-risk student identification

  • Create Content Studio capabilities for AI-assisted content authoring and adaptation

  • Integrate LLMs, RAG systems, and agentic workflows into HED platform architectures

Platform Integration & Engineering

  • Integrate AI features into existing HED platform architectures and data systems

  • Partner with platform engineering on API design, scaling, and production deployment

  • Build retrieval systems against Cengage's proprietary content library (books, assessments, media)

  • Ensure AI features meet FERPA compliance and accessibility standards (WCAG, DOJ)

  • Resolve technical blockers and production issues with urgency

Measurement & Optimization

  • Monitor feature usage, engagement, and learning outcome impact

  • Track and improve model performance on quality, cost, and latency dimensions

  • Partner with learning scientists and researchers on efficacy measurement

  • Iterate rapidly based on student feedback, instructor feedback, and usage telemetry

  • Maintain documentation and engineering runbooks for deployed AI features

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML

  • Strong proficiency in Python with experience building production ML or LLM systems

  • Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock)

  • Experience with RAG architectures, vector databases, and embedding models

  • Solid software engineering fundamentals including testing, CI/CD, and system design

  • Experience shipping production features at scale (thousands or millions of users)

  • Strong communication skills to work with product, design, and research partners

Preferred Qualifications

  • Experience in EdTech or adjacent domains with production education AI features

  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex, CrewAI)

  • Background in learning science, educational psychology, or instructional design

  • Experience with FERPA compliance and education-industry data handling

  • Familiarity with accessibility standards (WCAG, Section 508, DOJ accessibility)

  • Experience with fine-tuning, LoRA, or custom model training

Tools & Technologies

You should be comfortable with many of the following:

  • Languages: Python, JavaScript/TypeScript, SQL

  • AI/ML: OpenAI API, Anthropic API, AWS Bedrock, LangChain, LlamaIndex, Hugging Face

  • Vector DBs: Pinecone, Weaviate, pgvector, Chroma

  • Cloud: AWS (Lambda, ECS, SageMaker, Bedrock), Azure OpenAI

  • Data: Snowflake, Databricks, Postgres, Redis

  • DevOps: Docker, Terraform, GitHub Actions, CI/CD pipelines

Key Competencies

  • Shipping Mindset - delivers features weekly, not quarterly

  • Technical Craft - writes clean, tested, production-grade code

  • Learning Orientation - cares about whether AI actually improves learning outcomes

  • Systems Thinking - sees the full platform and integrates AI cleanly

  • Collaboration - partners effectively with product, design, research, and platform engineering

  • Continuous Improvement - iterates on models and features based on data

What We Offer

  • Opportunity to shape AI at scale across a global learning company

  • Direct impact on business outcomes, product, and workforce productivity

  • Access to cutting-edge AI tools, platforms, and technologies

  • Collaborative team environment focused on innovation and continuous improvement

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com .

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here (https://www.cengagegroup.com/news/perspectives/2024/cengage-group-total-rewards-philosophy/) to learn more about our Total Rewards Philosophy .

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company's discretionary incentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

10% Annual: Individual Target

$101,900.00 - $163,000.00 USD

Cengage, a global edtech company, supports learners, educators and institutions across more than 100 countries. With products serving nearly 16 million digital users across the Higher Education, School, Work and English Language Learning markets, we've built a learning ecosystem that connects education to employment. We combine trusted content, AI-powered insights and scalable digital platforms to power learning for every future and drive meaningful outcomes at every stage of the learning journey.

Warning: Be aware, there has been an increase of targeted recruitment scams perpetrated by bad actors falsely providing job offers on behalf Cengage Group to candidates as a means of obtaining personal information. Note that Cengage will always interview candidates via live in-person meetings, phone calls and video calls before an offer would be extended. Also, be sure to check that communication is coming from an @cengage.com email address.