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

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 ...

WEX

Sr. Staff AI/ML Engineer

Boston, MA · On-site +1

$220K - $255.80K/yr

Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar ... Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar ...

eNett

Sr. Staff AI/ML Engineer

Boston, MA · On-site +1

$220K - $255.80K/yr

Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar ... Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar ...

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site

$113.50K - $155.90K/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 ...

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 ...

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How much do python ml developer jobs pay per hour?

As of May 30, 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 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 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 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 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 May 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $131,547 per year, or $63.2 per hour.
AI/ML Programmer

AI/ML Programmer

MIT Lincoln Laboratory

Lexington, MA

$29.75 - $40.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions.

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data—including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation’s top cyber organizations.

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory’s efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE).

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems.

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods.
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics.
  • Publish and present research at premier conferences.
  • Internship Opportunities

The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include:

  • Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI.
  • Applying innovative methods to challenging, real-world problems.
  • Working in a collaborative, team-oriented development environment.

This is an opportunity to apply your skills to some of the most important technical challenges of our time—while learning from and contributing to a world-class research community. 

Qualifications

Candidates who possess an M.S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of relevant experience will be considered.

Desired Skills:

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Advanced AI/ML knowledge – solid graduate-level coursework or equivalent work experience in machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques. Ability to read, evaluate, and implement state-of-the-art research papers.
  • Proficient Python programming – comfortable writing clean, modular, and testable code; expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.), data-science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented toolkits (e.g., MCP).
  • Operating in a rapid research-to-prototype pipeline – demonstrated ability to take a cutting-edge research concept, design an experimental plan, implement a functional prototype, and iterate based on quantitative evaluation. Experience with benchmark datasets and realistic metrics (e.g. latency, accuracy, robustness) is a plus.
  • Software-engineering best practices – strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Problem-solving & analytical mindset – can decompose novel, ill-defined problems, propose multiple solution paths, and select the most promising approach based on empirical evidence.
  • Detail-oriented, able to multi-task, with the ability to work autonomously with minimal supervision.
  • Effective written and oral communication skills in technical environments, technical reports, internal wiki pages; delivers clear demo presentations and briefings to both technical audience and senior mission stakeholders.
  • Current TS/SCI clearance or willingness to obtain one.

Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42941 

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