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Remote Machine Learning Engineer Jobs in Worcester, MA

Varsity Tutors

Data Science Tutor

Waltham, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Newton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

micro1 AI

AI Trainer - Microbiology Expert

Worcester, MA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Newton, MA · Remote

$18 - $40/hr

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

Varsity Tutors

Python Tutor

Waltham, MA · Remote

$18 - $40/hr

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

Tripadvisor

CRM Manager

Needham, MA · On-site +1

Remote US East Coast What You'll Do: * Campaign Strategy & Execution: * Conceptualize, develop, and ... Leverage AI and machine learning tools to enhance audience segmentation, content personalization ...

Tripadvisor

CRM Manager

Needham, MA · On-site +1

Remote US East Coast What You'll Do: * Campaign Strategy & Execution: * Conceptualize, develop, and ... Leverage AI and machine learning tools to enhance audience segmentation, content personalization ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Worcester, MA

Remote Machine Learning Engineer information

See Worcester, MA salary details

$31.4K

$128.5K

$193K

How much do remote machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote machine learning engineer in Worcester, MA is $128,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Worcester, MA?

The most popular types of Machine Learning Engineer jobs in Worcester, MA are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Worcester, MA?

For Remote Machine Learning Engineer jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Worcester, MA look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Machine Learning Engineer jobs?

Cities near Worcester, MA with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,454 per year, or $61.8 per hour.

Data Solutions Architect

SMART TECH SKILLS LLC

Marlborough, MA • Remote

Full-time

Posted 6 days ago

Job description

Benefits:
  • Competitive salary

Location
Remote (U.S.-based) / Hybrid options available
Experience Level
Senior–Lead Level (10 or more years of data architecture and engineering experience)
Role Overview
The Data Solutions Architect leads the design, architecture, and implementation of enterprise-scale data platforms across Azure, AWS, and multi-cloud environments. This role defines modern data strategies, establishing robust Lakehouse and Data Warehouse solutions that support business intelligence, advanced analytics, and AI/ML initiatives. Working closely with engineering teams and executive stakeholders, the Data Solutions Architect builds scalable, secure, and performant data ecosystems to enable data-driven decision-making across the organization.
Key Responsibilities
Enterprise Architecture & Strategy
  • Define enterprise data platform strategies, architectural blueprints, and engineering standards.
  • Design scalable, secure Lakehouse and Data Warehouse architectures supporting both structured and unstructured data.
  • Implement dimensional data models, star and snowflake schemas, and scalable ingestion frameworks.
  • Align modern data architecture initiatives with organizational business goals and digital transformation roadmaps.

Data Pipeline & Platform Engineering
  • Architect high-performance, resilient batch and real-time data pipelines using PySpark, Databricks, Kafka, and cloud-native services.
  • Implement end-to-end data ecosystems integrating Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Snowflake, and AWS data services.
  • Optimize platform performance through partitioning strategies, clustering, data skew remediation, schema evolution, and distributed workload tuning.

Data Governance, Security, & Quality
  • Establish comprehensive data governance, metadata management, schema management, and data quality frameworks.
  • Implement automated data validation, observability, and compliance monitoring across all data pipelines.
  • Enforce cloud security best practices, role-based access controls, and data protection standards across multi-cloud environments.

DevOps, Automation, & Analytics Integration
  • Automate cloud infrastructure deployments using Terraform (Infrastructure as Code) and CI/CD pipelines via Azure DevOps.
  • Integrate modern business intelligence and enterprise reporting tools, including Power BI, to deliver actionable insights.
  • Collaborate with engineering, analytics, business, and executive stakeholders to drive architectural excellence and continuous delivery.

Required Qualifications
  • 10 or more years of experience in data engineering, data platform architecture, and enterprise software delivery.
  • 5 or more years of experience architecting and implementing modern cloud data platforms on Azure, AWS, or multi-cloud environments.
  • Strong hands-on architectural experience with Azure data services, including Azure Databricks, Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
  • Deep expertise in Lakehouse and Data Warehouse design using Snowflake and Databricks.
  • Extensive experience designing distributed processing pipelines using PySpark, SQL, and streaming technologies like Apache Kafka.
  • Proven experience in dimensional modeling, schema design, and query performance optimization techniques.
  • Experience establishing data governance, metadata catalogs, and automated data quality validation frameworks.
  • Proficiency with Infrastructure as Code (Terraform) and CI/CD automation tools.

Preferred Qualifications
  • Experience architecting data platforms that support machine learning, advanced analytics, and AI/ML workloads.
  • Hands-on experience with AWS data services, including AWS Glue, AWS Lambda, and S3.
  • Advanced knowledge of enterprise reporting and semantic layer modeling using Power BI.
  • Relevant cloud or architecture certifications (e.g., Azure Solutions Architect, Databricks Certified Architect, or Snowflake SnowPro).

Core Skills & Attributes
  • Exceptional ability to translate complex business objectives into scalable, high-performing technical architectures.
  • Strong strategic thinking with expertise in workload optimization, cost governance, and distributed system resilience.
  • Excellent communication and presentation skills across executive, technical, and non-technical audiences.
  • Proven technical leadership with the ability to mentor data engineers and establish engineering best practices.

This is a remote position.