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Python Ml Developer Jobs in Waltham, MA (NOW HIRING)

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : • ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

Associate Director, AI/ML Engineering

Cambridge, MA · On-site

$64K - $65K/yr

As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines ... Candidates must have experience with Python, Torch, AWS, MLFlow, Docker, GitHub, and GitHub Actions ...

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

... ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS ... Strong expertise in Python programming with specialization using various GenAI and Agentic ...

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Collaborate with Data Science and ML teams on evaluation, optimization, and continuous improvement. Must-Have Experience & Skills * 5 10 years of software engineering experience with strong Python ...

Edge AI ML Engineer

Framingham, MA

$84K - $113K/yr

Proficiency in Python for model development, experimentation, evaluation, and tooling. Preferred ... Electrical Engineering, Machine Learning, or related field. * Experience with ML compilers ...

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Python Ml Developer information

See Waltham, MA salary details

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How much do python ml developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python ml developer in Waltham, MA is $63.24, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $71.83 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 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 are popular job titles related to Python Ml Developer jobs in Waltham, MA?

For Python Ml Developer jobs in Waltham, MA, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Waltham, MA look for?

The top searched job categories for Python Ml Developer jobs in Waltham, MA are:

What cities near Waltham, MA are hiring for Python Ml Developer jobs?

Cities near Waltham, MA with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Waltham, MA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $131,547 per year, or $63.2 per hour.

Senior Machine Learning Operations Engineer

CarGurus

Boston, MA

$113K - $155K/yr

Full-time

Re-posted 11 hours ago


Job description

Role overview

As a core member of the Machine Learning Platform team, the Machine Learning Operations Engineer will be responsible for enhancing and maintaining CarGurus' cloud-hosted ML platform. You will partner closely with data scientists to deploy machine learning models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus' products. You will have the opportunity to contribute to systems supplying Recommendations, Search Ranking, Computer Vision, Instant Market Value, and more.

What you'll do

  • Write production-quality training jobs and inference APIs for our Python ML models, deploying them to robust scalable services
  • Contribute enhancements to the CarGurus ML platform, leveraging technologies such as AWS SageMaker, GitHub Actions, and Docker
  • Participate in systems design conversations with our data scientists and engineering partners, using your engineering expertise and experience to help them design scalable and robust systems
  • Develop in-house tools and libraries to standardize and accelerate the AI and ML development process
  • Build and integrate multi-modal AI capabilities into production ML systems
  • Design and build agentic AI systems and harness engineering to enable autonomous, reliable software development workflows
  • Own and maintain aspects of the Data Science team's engineering infrastructure 
  • Promote and foster an inclusive, transparent, and collaborative culture

What you'll bring

  • 4+ years experience writing and debugging Python code
  • Familiarity with software engineering tools and standard methodologies, e.g. git, unit testing, object-oriented design, containerization 
  • A working understanding of the machine learning lifecycle, including model training, evaluation, deployment, and monitoring
  • Familiarity with the Python ML ecosystem (e.g. scikit-learn, XGBoost, PyTorch, numpy, pandas) 
  • Experience deploying, monitoring, and troubleshooting AI & ML models in a public cloud (we use AWS) 
  • Exposure to a variety of AI & ML systems in production, including regression and classification on tabular data, image models, language models, and agentic systems
  • Knowledge of SQL and familiarity with cloud data warehouses (we use Snowflake)
  • A systems thinking mindset, able to reason about how components interact end-to-end across the ML lifecycle and platform, and also optimizing any single piece