1

Python Machine Learning Jobs in Boston, MA (NOW HIRING)

Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA ...

Machine Learning Engineer

Boston, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib * Proficient with version control software (Git), JIRA ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor's Degree

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... Python (NumPy, Pandas, FastAPI, SQLAlchemy) • Strong SQL and modern data warehouse experience ...

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications ... Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS, GCP ...

Showing results 41-60

Python Machine Learning information

See Boston, MA salary details

$14

$63

$93

How much do python machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python machine learning in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is a Python machine learning?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What does a typical workday look like for a Python machine learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What are the key skills and qualifications needed to thrive in the Python machine learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What are the most commonly searched types of Python Machine Learning jobs in Boston, MA?

The most popular types of Python Machine Learning jobs in Boston, MA are:

Infographic showing various Python Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $132,451 per year, or $63.7 per hour.

Senior Machine Learning Operations Engineer

Boston, MA

CarGurus
Internet and IT • 1 - 5K employees

$113K - $155K/yr

Full-time

Re-posted 4 days 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