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Remote Senior Machine Learning Engineer Jobs in Coventry, RI

This is a role for engineers who enjoy asking "why," digging into complex problems, and continuously learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ...

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

Data Science Tutor

Providence, RI · 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 ...

Showing results 41-60

Remote Senior Machine Learning Engineer information

See Coventry, RI salary details

$73.6K

$139.6K

$187.1K

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

As of Aug 12, 2026, the average yearly pay for remote senior machine learning engineer in Coventry, RI is $139,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $157,300.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What cities near Coventry, RI are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Coventry, RI with the most Remote Senior Machine Learning Engineer job openings:

Senior DevSecOps Engineer (Remote NC, TX, AZ, GA)

First Citizens Bank

Carolina, RI • Remote

$130K - $167K/yr

Full-time

Posted 21 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 171 rated banks


Job description

Overview

This is a remote role that may only be hired in the following locations: NC, TX, AZ, GA

This position is responsible for all phases of data processing system projects, from requirements definition to installation. Leads technical efforts in the development, implementation, and maintenance of complex systems. Develops test plans, software, and procedures that improve processing capabilities. Supports productions systems by resolving complicated issues and ensuring ongoing functionality. Serves as a technical expert and may provide a leadership role for less experienced associates in the work group. 


Responsibilities
  • CI/CD implementation -Develop, implement, and maintain CICD pipelines to automate the build, test, and deployment process. Standardize and ensure adoption of the process. 
  • Infrastructure management -Automate the process to provision, configure, and manage infrastructure on cloud platforms. This includes using "infrastructure as code" tools like Terraform and Ansible to ensure consistency and scalability. 
  • Automation -Identify and automate manual processes to improve efficiency and reduce errors. This includes writing scripts for various operational and development tasks. 
  • System monitoring and reliability -Implement and manage monitoring, logging, and alerting tools to track system performance and availability. They also perform root cause analysis and troubleshoot production issues. 
  • Security as a code - Ensure the security of the software development pipeline and infrastructure by implementing security best practices and tools throughout the lifecycle. 
  • Collaboration - Work closely with development, QA, Application Security, Governance and IT teams to improve the overall delivery process. 
  • Containerization and orchestration -Implement and manage containerization technologies like Docker and orchestration platforms such as Kubernetes. 
  • System Enhancement - Performs a variety of actions that evaluate and improve department systems, processes, and applications. Utilizes programming specifications to construct modules, develop testing methods, and design materials. Provides new feature time estimates for system changes and assists in implementing modifications. Executes test plans to validate application functions as designed. 
  • Analysis - Collects data related to user requests and determines scope, time estimates, and system impacts. Inspects business specifications, programming specifications, coding, test plans, documentation, and implementation plans for accuracy. 
  • Business Support - Provides technical support to production systems by addressing reported issues, anticipating maintenance requirements, and ensuring functionality for end user needs. Drafts documentation to be used for system, end user, and operational purposes, including technical specifications and application designs. 
  • Technical Expertise - Responsible for complex involvement in the software development life cycle including the creation, enhancement, implementation, and evaluation of software. Serves as a technical resource for management, associates, and business units. 
  • On-call Support - Provides 24/7 on-call support via rotations. 

Qualifications

Bachelor's Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance

Preferred skills: 

  • 8+ years of experience in DevOps, DevSecOps, Platform Engineering, Cloud Engineering, or related disciplines
  • 6+ years of experience in architecting, developing, maintaining, and optimizing enterprise-scale CI/CD pipelines using GitLab.
  • 5+ years of experience in implementing DevSecOps practices, security controls, and automated compliance checks within CI/CD pipelines.
  • Experience in developing automation solutions using Python, Bash, and other scripting languages.
  • Knowledge in major tech stacks of modern application development
  • Experience in developing build process for Java, .net, ios and android, and automating deployment process for Openshift and VM
  • Knowledge in AWS & Azure is a plus.
  • Hands-on Experience in Linux environments (RHEL), Ansible, writing playbooks to automate tasks, deploy artifacts, configuring monitoring tools (AppDynamics, Dynatrace), tools upgrade, patching and migrations, security vulnerability remediations.
  • Experience in Automating deployment and release processes across OpenShift, Kubernetes, Docker, virtual machines, and cloud environments.
  • Experience in implementing Infrastructure as Code (IaC) solutions using Terraform for cloud infrastructure provisioning and DevSecOps tool deployments.
  • Deep knowledge in security scans and experience in implementing them as part of the CICD pipeline.
  • Experience in working with cross functional teams , including App security, Application engineering, Quality automation engineering, and
  • Infrastructure teams to integrate security and automation throughout the software development lifecycle.
  • Experience in migrating applications from one SCM to another.
  • Working experience on Docker, OpenShift/Kubernetes/Docker Swarm
  • Implementation, management, and administration of Enterprise systems tools and processes - AWS stack, JIRA, Confluence, GitLab, Jenkins, Azure DevOps, Nexus, Artifactory, Snyk, SonarQube.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance

Preferred skills: 

  • 8+ years of experience in DevOps, DevSecOps, Platform Engineering, Cloud Engineering, or related disciplines
  • 6+ years of experience in architecting, developing, maintaining, and optimizing enterprise-scale CI/CD pipelines using GitLab.
  • 5+ years of experience in implementing DevSecOps practices, security controls, and automated compliance checks within CI/CD pipelines.
  • Experience in developing automation solutions using Python, Bash, and other scripting languages.
  • Knowledge in major tech stacks of modern application development
  • Experience in developing build process for Java, .net, ios and android, and automating deployment process for Openshift and VM
  • Knowledge in AWS & Azure is a plus.
  • Hands-on Experience in Linux environments (RHEL), Ansible, writing playbooks to automate tasks, deploy artifacts, configuring monitoring tools (AppDynamics, Dynatrace), tools upgrade, patching and migrations, security vulnerability remediations.
  • Experience in Automating deployment and release processes across OpenShift, Kubernetes, Docker, virtual machines, and cloud environments.
  • Experience in implementing Infrastructure as Code (IaC) solutions using Terraform for cloud infrastructure provisioning and DevSecOps tool deployments.
  • Deep knowledge in security scans and experience in implementing them as part of the CICD pipeline.
  • Experience in working with cross functional teams , including App security, Application engineering, Quality automation engineering, and
  • Infrastructure teams to integrate security and automation throughout the software development lifecycle.
  • Experience in migrating applications from one SCM to another.
  • Working experience on Docker, OpenShift/Kubernetes/Docker Swarm
  • Implementation, management, and administration of Enterprise systems tools and processes - AWS stack, JIRA, Confluence, GitLab, Jenkins, Azure DevOps, Nexus, Artifactory, Snyk, SonarQube.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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