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Python Machine Learning Entry Level Jobs in Massachusetts

Machine Learning Engineer

Cambridge, MA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... Proficiency in Python * Experience with cloud platforms (AWS and Azure) * Experience with Docker

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 ...

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

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174.19K - $287.41K/yr

Strong programming skills with proven experience implementing Python based machine learning solutions * Ability to develop and implement research ideas and algorithms * Experience with mathematical ...

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Proficiency in programming languages such as Python, R, Java, or C++ for developing and optimizing machine learning algorithms. * Familiarity with big data technologies and distributed computing ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Lawrence, MA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Newton, MA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Python Machine Learning Entry Level information

What are the key skills and qualifications needed to thrive as an Entry Level Python Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Python Machine Learning Engineer, you need a solid understanding of Python programming, foundational machine learning concepts, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and Jupyter Notebooks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with technical teams. These skills are crucial for efficiently developing, implementing, and explaining machine learning solutions that meet organizational goals.

What types of projects can I expect to work on as an entry-level Python Machine Learning professional?

As an entry-level Python Machine Learning professional, you will typically work on projects such as data preprocessing, implementing and tuning basic machine learning models, and assisting with feature engineering. You may also be involved in data collection, cleaning, and visualization tasks to support more senior team members. Collaboration is common; you’ll often work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or build prototype models. This hands-on experience is valuable for building your technical foundation and understanding real-world machine learning workflows.

What are Python Machine Learning Entry Level jobs?

Python Machine Learning Entry Level jobs are positions designed for individuals who are new to the field of machine learning and have foundational programming skills in Python. These roles typically involve tasks such as data preprocessing, implementing basic machine learning algorithms, and assisting with model evaluation and deployment. Entry-level positions often require a basic understanding of statistics, data analysis, and libraries like scikit-learn, pandas, and NumPy. They provide an opportunity to gain hands-on experience while working under the guidance of more experienced data scientists or machine learning engineers.

What is the difference between Python Machine Learning Entry Level vs Data Analyst Entry Level?

AspectPython Machine Learning Entry LevelData Analyst Entry Level
Required SkillsPython, machine learning libraries, basic statisticsExcel, SQL, data visualization tools
CertificationsPython programming, machine learning coursesData analysis certifications, Excel/SQL courses
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Job FocusDeveloping ML models, data preprocessingData cleaning, reporting, insights generation

While both roles involve working with data, Python Machine Learning Entry Level focuses on building machine learning models using Python, whereas Data Analyst Entry Level emphasizes data cleaning, analysis, and reporting using tools like Excel and SQL. Both roles require analytical skills, but Python ML roles demand programming and machine learning knowledge, making them more technical.

What are popular job titles related to Python Machine Learning Entry Level jobs in Massachusetts? For Python Machine Learning Entry Level jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning Entry Level jobs in Massachusetts look for? The top searched job categories for Python Machine Learning Entry Level jobs in Massachusetts are:
What cities in Massachusetts are hiring for Python Machine Learning Entry Level jobs? Cities in Massachusetts with the most Python Machine Learning Entry Level job openings:
Infographic showing various Python Machine Learning Entry Level job openings in Massachusetts as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 1% As Needed, 60% Full Time, 30% Part Time, and 7% Contract. Highlights an 94% Physical, and 6% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

MORSE Corp

Cambridge, MA • On-site

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
Responsibilities:
  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility
  • Write robust, efficient, and maintainable code
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Skills and Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
  • Proven experience testing and validating the performance of AI technologies in real-world applications
  • Proficiency in Python
  • Experience with cloud platforms (AWS and Azure)
  • Experience with Docker
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
  • Exceptional communication skills and the ability to work well with customers
  • Understanding of Department of Defense requirements and standards is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.