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

CarGurus

Manager, Data Science

Boston, MA · On-site

Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g ... and engineers). * Experience contributing to the technical direction for a team and a strategic ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

Experience with python, deep learning frameworks (e.g., PyTorch), and high-performance computing is ... Science, AI/ML, Autonomy, Statistics, Electrical Engineering, Systems Engineering, Mechanical ...

JLL

Lead AI Engineer

Boston, MA

$111K - $146K/yr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

About the Role We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. * Experience with Machine Learning libraries such as:

Chewy

Software Engineer II - Python

Boston, MA

$120K - $190K/yr

Develop and maintain ML platforms and tooling for experimentation, simulation, and production model ... Leverage AI developer tools and LLM-assisted workflows to accelerate development, testing, and ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and ... Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level ...

Chewy

Software Engineer II - Python

Boston, MA · On-site

$120K - $190K/yr

Develop and maintain ML platforms and tooling for experimentation, simulation, and production model ... Leverage AI developer tools and LLM-assisted workflows to accelerate development, testing, and ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and ... Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and ... Proficient Python programming - comfortable writing clean, modular, and testable code; expert-level ...

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

ML/AI Engineer We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries ... Strong coding skills in Python and experience using Git/GitHub and CI/CD practices. * Data ...

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site

$113K - $155K/yr

ML/AI Engineer We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries ... Strong coding skills in Python and experience using Git/GitHub and CI/CD practices. * Data ...

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Python Ml Developer information

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$93

How much do python ml developer jobs pay per hour?

As of Jun 21, 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 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 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:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Waltham, MA as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $131,547 per year, or $63.2 per hour.
Manager, Data Science

Manager, Data Science

CarGurus

Boston, MA • On-site

Other

Posted 14 days ago

Job description

Role overview

The Manager, Data Science will lead an Inventory & Dealer Data Science team focused on developing, deploying, and optimizing machine learning models that power CarGurus' products and business insights. Sitting within the broader Data Science organization, this team is responsible for modeling automotive marketplace dynamics and dealer behavior. The team owns Machine Learning solutions end-to-end across the ML lifecycle, from R&D to production. This leader is accountable for the team's strategic direction and impactful delivery, while building a culture of innovation, technical excellence, and collaboration. The Manager partners with Product, Engineering, Analytics, and cross-functional stakeholders to ensure team efforts advance CarGurus' goals in intelligence-powered products.

What you'll do

  • Oversee the development, training, and evaluation of machine learning models covering Inventory and Dealer intelligence. Leverage modeling techniques including recommendations, demand forecasting, churn risk prediction, and valuation algorithms.
  • Facilitate experimentation, A/B testing, and measurement of production models, ensuring robust evaluation of business impact
  • Build and develop a high-performing team - providing regular coaching, feedback, and performance assessments; ensure equitable access to growth opportunities.
  • Drive innovation, continuous improvement, and adoption of best-in-class ML and AI practices. Champion best practices across the organization.
  • Participate in roadmap planning, aligning the team's work with broader business priorities and long-term strategy. Flag resource constraints and escalate tradeoff decisions when needed.
  • Act as a visible, accessible leader - communicating objectives, updates, risks, and wins to all stakeholders.
  • Partner with peers in the Machine Learning Platform, Product and Data teams, and other stakeholders to facilitate effective cross-team working relationships and represent data science in cross-functional forums.

What you'll bring

  • 5+ years of experience in a data science or machine learning engineering role
  • 2+ years of people leadership experience
  • Deep expertise in machine learning models and their application to classification, regression, ranking, and recommendation problems. Familiarity with standard evaluation metrics and statistical best practices.
  • Experience deploying and owning models in production and a working understanding of MLOps practices.
  • Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g., scikit-learn, PyTorch, XGBoost, numpy, pandas).
  • Experience with cloud platforms, particularly AWS, including deploying, monitoring, and troubleshooting ML models.
  • Effective communication and facilitation abilities with both technical and non-technical stakeholders (including data scientists, product management, senior leadership, and engineers).
  • Experience contributing to the technical direction for a team and a strategic mindset for prioritizing projects and aligning them with business goals.
  • Knowledge of standard software development methodologies and a history of driving continuous improvement.
  • Experience in a collaborative, cross-functional environment, with the ability to build effective working relationships and foster an inclusive team culture.

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