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

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 ...

Merck Group

Senior Data & ML Ops Engineer

Boston, MA · On-site

$137K - $206K/yr

Advanced SQL, Python, and shell scripting. * Proven track record of architecting, deploying, and ... Experience with AWS automation through CloudFormation and Azure DevOps. * Experience with Git, CI ...

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 ...

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 ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Waltham, MA

Python Ml Developer information

See Waltham, MA salary details

$14

$63

$93

How much do python ml developer jobs pay per hour?

As of Aug 16, 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?

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 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 August 2026, with employment types broken down into 2% Internship, 79% Full Time, 13% Part Time, and 6% 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.

AI/ML Engineering

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

The Integrated Missile Defense Technology Group performs analysis and develops technology to defend America, our military personnel, and our allies from missile and drone threats. We support the U.S. Armed Services and the Missile Defense Agency in developing, testing, and improving the defense systems that keep us safe.
Our goal is straightforward - stay ahead of rapidly evolving worldwide threats. We do this by:
  • Identifying critical needs - We analyze emerging missile and drone threats from around the world to identify critically needed defenses
  • Developing solutions - Our team creates new technologies, designs systems, and develop algorithms that advance modern defense capabilities
  • Prototyping and testing - We build prototypes, partner with government and industry to transition them into operational systems, and support testing at every scale-from small laboratory experiments to large-scale field demonstrations
  • Deploying capabilities - We transition new technologies to operational systems that defend against actual threats

From the initial spark of an idea to integration into a fully operational defense system, our team members are driven to innovate and to have impact.
If you're looking to make a real difference in national security and work on some of the most challenging technical problems of our time, this is the team for you.
Job Description - Associate Staff - AI/ML
Group 36, the Integrated Missile Defense Technology group, seeks highly motivated individuals to join in an outstanding and interdisciplinary team of mathematicians, scientists, and engineers in solving challenging and critically important missile defense problems through simulation, modeling, algorithm development, autonomy and machine learning, hardware prototyping, field testing and analysis.
The successful candidate will be able to work on a broad range of problems. Desired areas of expertise include any of the following: data science and engineering, artificial intelligence and machine learning (AI/ML), statistics, autonomous systems (AS), algorithm development, prototyping, data infrastructure and analytics, modeling and simulation, and radar signal processing. The applicant must be enthusiastic in applying AI/ML or AS knowledge to national security applications, including those of missile defense. Experience with python, deep learning frameworks (e.g., PyTorch), and high-performance computing is desired. Must have demonstrated proficiency in oral presentations and written reporting skills. Must have proven record of self-motivation and ability to work well in a team environment.
Requirements
MS in Mathematics, Computer Science, Data Science, AI/ML, Autonomy, Statistics, Electrical Engineering, Systems Engineering, Mechanical Engineering, Aero/Astro, or a related field. In lieu of a MS degree, an BS degree and 2 years of position-related experience will be considered.
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: 42130

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