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Machine Learning Engineer Apprenticeship Jobs in Massachusetts

Machine Learning Engineer

Somerville, MA ยท On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Sr. Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Senior Machine Learning Engineer

Boston, MA ยท On-site

$113K - $155K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include: * Design, develop, and maintain AI ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

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Machine Learning Engineer Apprenticeship information

What is a Machine Learning Engineer Apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a Machine Learning Engineer Apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What cities in Massachusetts are hiring for Machine Learning Engineer Apprenticeship jobs? Cities in Massachusetts with the most Machine Learning Engineer Apprenticeship job openings:
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Boston, MA โ€ข On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
โ€ข Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
โ€ข Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
โ€ข Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
โ€ข Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
โ€ข Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
โ€ข Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
โ€ข Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
โ€ข Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
โ€ข Masterโ€™s degree in Computer Science, Data Science, Engineering, or a related technical field.
โ€ข 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
โ€ข Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
โ€ข Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
โ€ข Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
โ€ข Familiarity with CI/CD pipelines, testing automation, and version control using Git.
โ€ข Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
โ€ข Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
โ€ข Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.