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Independent Contractor Aws Machine Learning Jobs in Boston, MA

Capital One

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

New

Bespoke Labs

Machine Learning Engineer

Brockton, MA · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Bespoke Labs

Machine Learning Engineer

Babson Park, MA · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Brockton, MA

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly ... Ability to operate independently on new and ambiguous assignments, determine methods and procedures ...

Bespoke Labs

Machine Learning Engineer

Cambridge, MA · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Hands-on experience deploying real-time ML products at scale in cloud environments (AWS strongly ... Ability to operate independently on new and ambiguous assignments, determine methods and procedures ...

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ... Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply ...

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All JobsIndependent Contractor Aws Machine Learning JobsIndependent Contractor Aws Machine Learning Jobs in Boston, MA

Independent Contractor Aws Machine Learning information

See Boston, MA salary details

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How much do independent contractor aws machine learning jobs pay per week?

As of Aug 8, 2026, the average weekly pay for independent contractor aws machine learning in Boston, MA is $1,183.44, according to ZipRecruiter salary data. Most workers in this role earn between $782.69 and $1,315.38 per week, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.
What are the most commonly searched types of Aws Machine Learning jobs in Boston, MA? The most popular types of Aws Machine Learning jobs in Boston, MA are:
What are popular job titles related to Independent Contractor Aws Machine Learning jobs in Boston, MA? For Independent Contractor Aws Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
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Independent Contractor Aws Machine Learning jobs near you

Senior Machine Learning Data Engineer - Cambridge

Motion Recruitment Partners, LLC

Cambridge, MA • On-site

$125K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description


A fast-growing robotics company is seeking a Senior Machine Learning Data Engineer to help develop the data foundation that powers intelligent robotic systems operating in high-throughput logistics environments. The organization builds AI-driven automation solutions that leverage computer vision, machine learning, and robotic manipulation to solve complex real-world challenges involving package handling, object identification, and operational optimization.
As a Senior Machine Learning Data Engineer, you will focus on the collection, preparation, management, and delivery of data used to train, evaluate, and improve machine learning models. Unlike traditional data engineering positions that concentrate on analytics, reporting, or platform infrastructure, this role is centered on enabling AI and computer vision teams to build more accurate and effective robotic systems.
You will work closely with machine learning engineers, roboticists, software developers, and product teams to create scalable data pipelines capable of handling large volumes of image, video, sensor, and operational data. The ideal candidate enjoys solving challenges surrounding data labeling, feature generation, model training datasets, data versioning, and machine learning infrastructure. This role offers the opportunity to directly influence how AI systems learn and improve within a cutting-edge robotics environment.
Required Skills & Experience
  • Strong proficiency with Python and SQL
  • Experience building data pipelines for machine learning workloads
  • Experience working with large-scale image, video, or sensor datasets
  • Knowledge of data processing frameworks such as Spark or Ray
  • Experience with cloud platforms such as AWS
  • Understanding of data modeling and storage solutions for ML applications
  • Experience building ETL workflows and automation solutions
  • Familiarity with machine learning lifecycle concepts
  • Experience with version control and software engineering best practices
  • Strong problem-solving and analytical skills

Desired Skills & Experience
  • 5+ years of Data Engineering or Machine Learning Infrastructure experience
  • Experience supporting computer vision or AI-focused teams
  • Robotics, automation, or industrial technology experience
  • Familiarity with model training workflows and feature engineering
  • Experience with annotation platforms and data labeling operations
  • Knowledge of MLOps tools and practices
  • Experience working with unstructured datasets
  • Bachelor's degree in Computer Science, Data Engineering, Engineering, Mathematics, or a related field

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Build and maintain machine learning data pipelines supporting robotics and AI initiatives
  • Develop processes that prepare image, video, and sensor datasets for model training
  • Partner with machine learning teams to improve the quality and accessibility of training data
  • Design scalable storage and retrieval solutions for large unstructured datasets
  • Create data validation processes that improve model reliability and performance
  • Support feature engineering, experimentation, and dataset generation workflows
  • Implement automation that reduces manual effort in data preparation and curation
  • Monitor data pipelines and resolve issues impacting model development
  • Optimize data processing workflows for performance and scalability
  • Contribute to the evolution of machine learning infrastructure and data best practices

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply