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

Senior ML Engineer

Boston, MA · On-site

$113K - $155K/yr

... Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote ... ML systems, Kubernetes, Python, and cloud technologies that power mission-critical applications ...

Edge AI ML Engineer

Framingham, MA · On-site

$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 ...

Senior AI Engineer

Boston, MA · Hybrid

$113K - $155K/yr

... ML models, eval frameworks, and LLM integrations end-to-end on Azure using Python and .NET, and use ... NET/C# and manages containerized deployments through Azure DevOps CI/CD and Kubernetes/AKS ...

Edge AI ML Engineer

Framingham, MA · On-site

$141 - $194/hr

Proficiency in Python for model development, experimentation, evaluation, and tooling.Preferred ... Engineering, Machine Learning, or related field.Experience with ML compilers/frameworks such as ...

Senior ML Engineer

Boston, MA · Remote

$113K - $156K/yr

... Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote ... ML systems, Kubernetes, Python, and cloud technologies that power mission-critical applications ...

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

Cloud Infrastructure/AI/ML Engineer (Contract, 12+ months, Hybrid) - Location : Waltham, MA (Hybrid ... AWS, GCP - Proficiency in Python and Bash - Containerization experience (Docker, Kubernetes ...

AI engineer, with GCP Vertex AI , Python & IAM Security Experienced AI/ML engineer with 10+ years' expertise in GCP Vertex AI, Python, and IAM security to design and deploy AI-driven cloud access ...

AI/ML Development Senior Engineer

Lowell, MA · On-site

$104K - $142K/yr

... Python and AI/ML frameworks (Pandas, PyTorch, TensorFlow, LangChain, etc.). • Expertise in ... engineering and manufacturing environments. • Strong working knowledge of model providers and ...

AI engineer, with GCP Vertex AI , Python & IAM Security Experienced AI/ML engineer with 10+ years' expertise in GCP Vertex AI, Python, and IAM security to design and deploy AI-driven cloud access ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

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 ...

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or equivalent.* Experience designing experiments, evaluating model performance, and applying ...

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:

AI/ML Engineer

Boston, MA · On-site

$32 - $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 ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or equivalent. * Experience designing experiments, evaluating model performance, and applying ...

Showing results 21-40

Python Ml Developer information

See Waltham, MA salary details

$14

$63

$93

How much do python ml developer jobs pay per hour?

As of Sep 6, 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.

$113K - $155K/yr

Other

Re-posted 4 days ago


Job description


Join a global leader in legal, regulatory, and business information as a Senior Machine Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote contract-to-hire opportunity. You'll help build and scale enterprise AI platforms leveraging LLMs, RAG architectures, agentic AI frameworks, distributed ML systems, Kubernetes, Python, and cloud technologies that power mission-critical applications used around the world.
This is a rare opportunity to influence the future of enterprise AI at scale. The team is building the foundational infrastructure behind advanced AI products and is looking for someone who can architect complex AI systems, establish engineering standards, and guide the evolution of agentic workflows across the organization.
Contract Duration: 6-12 Months (Contract-to-Hire)
Required Skills & Experience
PhD in a relevant field or 8+ years of experience with a Master's degree or 12+ years of experience with a Bachelor's degree
8+ years building production-scale machine learning systems
Extensive experience with LLMs, Generative AI, and RAG architectures
Strong Python development background
Experience architecting distributed systems in AWS, Azure, or Google Cloud Platform
Hands-on experience with Kubernetes, containerization, and scalable inference platforms
Experience developing agentic AI systems and tool orchestration frameworks
Experience implementing or managing MCP servers and structured tool-calling architectures
Deep understanding of MLOps, observability, reliability, and model evaluation
Strong system design and architecture experience
Desired Skills & Experience
Experience building enterprise AI platforms at scale
Background with vector databases and semantic search technologies
Responsible AI and governance experience
Proven ability to influence cross-functional technical direction
Experience mentoring senior engineers
Strong communication and stakeholder management skills
Experience operating within highly regulated or enterprise environments
What You Will Be Doing
Tech Breakdown
40% LLMs, RAG, and Agentic AI Systems
30% Distributed Systems & Cloud Architecture (AWS/Azure/Google Cloud Platform)
20% MLOps, Platform Engineering & Reliability
10% Technical Leadership & Mentorship
Daily Responsibilities
80% Hands On
5% Management Duties
15% Team Collaboration
You'll design scalable AI platform architecture, build enterprise-grade agent systems, define standards for tool orchestration and MCP integration, establish AI governance and security controls, improve ML platform reliability, and partner with engineering leaders to shape the long-term AI strategy across the organization.