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

Foundation EGI

ML Ops Engineer (Boston, MA)

Boston, MA · On-site +1

What we're looking for * BS in Computer Science or a related field. * 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent. * Expert-level Python and TypeScripts ...

Sarepta Therapeutics

Senior AI/ML Engineer

Cambridge, MA · On-site

$114K - $156K/yr

The successful candidate will deliver prioritized AI/ML use cases-initially focused on R&D ... Expert proficiency in programming languages such as Python or R. * Extensive experience with ...

Xforia, Inc.

Principal AI/ML Engineer

Boston, MA · On-site

Proficiency in implementing signal processing algorithms using programming languages such as Python ... the entire ML lifecycle Familiarity with radar principles, systems, and waveforms. You have ...

CookUnity

Director, Data Science/ML

Boston, MA

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ...

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 ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during training and inference ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site

$144K - $192K/yr

Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during training and inference ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed ... or translating ML approaches to production systems • Proficiency with version control (Git ...

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How much do python ml developer jobs pay per hour?

As of Jul 10, 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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 July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $131,547 per year, or $63.2 per hour.
Machine Learning Operations Engineer II

Machine Learning Operations Engineer II

S&P Global

Cambridge, MA • On-site

Full-time

Re-posted 7 days ago

S&P Global rating

8.1

Company rating: 8.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
S&P Global's Kensho is a hub for AI innovation, focusing on machine learning and data discovery. The MLOps Engineer will enhance ML processes and tools, collaborating with engineers to improve the development and deployment of ML models and applications.
Responsibilities:
• Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
• Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.
• Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products
• Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
• Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem
• Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents
• Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues
• Stay at the frontier by actively tracking emerging tools and frameworks, promote best practices and strengthen the technical expertise of the team with your unique skill set
Qualifications:
Required:
• 2+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset
• Experience managing distributed systems with Kubernetes. It is important to understand Kubernetes concepts and trade-offs
• Cloud Platform (AWS) understanding. We utilize tools like EKS and managed ML services like Bedrock and SageMaker
• Python proficiency (we are a python shop mostly)
• Familiarity with distributed computing frameworks and workflow orchestration (ie. Ray, Airflow)
• Familiarity with software engineering best practices in an ML context
• Some basic understanding of ML concepts, LLMs and agents
• Ability to debug distributed systems across infrastructure, networking and application layers
• Excellent communication skills to drive adoption of new tools and best practices across multiple teams
• Someone who’s very curious, driven, low-ego and eager to learn across a range of engineering disciplines, while being part of a fantastic team
Preferred:
• Experience with Agentic AI systems, tools, frameworks and workflows
• Experience with running workflows on Ray
• Experience with MCP server patterns
Company:
S&P Global is a market intelligence company that provides financial information and data analytics services. Founded in 1860, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What S&P Global employees say

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Benefits

Hours and flexibility

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