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Remote Senior Machine Learning Engineer Jobs in West Virginia

Senior Network Engineer

WV · Remote

$129K - $166K/yr

AI-powered career tool that identifies career steps and learning opportunities Support: An internal ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another ... Deep expertise in analytics and machine learning, with hands-on experience across the full modeling ...

Java Developer, Senior

WV · On-site +1

$97K - $126K/yr

AI-powered career tool that identifies career steps and learning opportunities Support: An internal ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Senior Full Stack Engineer

WV · On-site +1

$119K - $161K/yr

AI-powered career tool that identifies career steps and learning opportunities Support: An internal ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Senior Engineer Manager

WV · Remote

$170K/yr

Growth mindset with demonstrated commitment to continuous learning and self-development * Proven ... Position is remote, with approximately 10-20% business travel #EDopportunities The likely salary ...

Sr. Structural Engineer

$93K - $126K/yr

Farnsworth Group is seeking a Sr. Structural Engineer ... This remote-based role is posted and available for candidates not local to an existing Farnsworth ...

Sr. Manager, Engineering, Enterprise Platform US Remote About SailPoint SailPoint is the leader in ... machine, and AI identities. About the Role As a Senior Engineering Manager on the Enterprise ...

Senior Solutions Consultant

Charleston, WV · On-site +1

$94K - $159K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... The role: SailPoint is seeking an Senior Solution Consultant (pre-sales Solution Engineer) to ...

Senior Software Developer

WV · On-site +1

$142K - $189K/yr

... engineer or team to get something done for you - Mentor junior developers and contribute to the ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... machine learning workflows. Leverage Python for data preparation, model training, and result ...

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Showing results 1-20

Remote Senior Machine Learning Engineer information

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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 engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in West Virginia? For Remote Senior Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in West Virginia look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in West Virginia are:
Manager, Software Engineering, Content Automations

Manager, Software Engineering, Content Automations

Cengage Learning

Charleston, WV • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/.

What you'll do here:

As the Software Engineering Manager, you will manage and lead all aspects of a team dedicated to:

  • Partner with content teams to analyze current workflows, identify automation opportunities, and design AI-first solutions that improve efficiency and quality.

  • Lead end-to-end delivery of automation initiatives, collaborating with onsite and offshore engineering teams as well as cross-functional partners across the organization.

  • Drive development of AI-powered tools through prototyping (POCs), enhancements, and continuous improvement of existing platforms.

  • Work closely with Product Managers and business partners to deliver innovative, scalable solutions while ensuring alignment to engineering guidelines in developing, implementation, and operations.

Following the Product Operating Model (POM), you will collaborate with product and design teams in your role as technical lead. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven insights.

  • Lead, coach, and grow a high-performing engineering team focused on quality, accountability, and continuous improvement.

  • Reimagine and optimize content creation workflows using modern platforms, automation, and generative AI.

  • Engage in driving POM Discovery activities including continuous customer engagement, both internal and external, to derive solutions that meet end user, company, and technology goals.

  • Track quality and efficiency improvements through well instrumented SDLC tools and report progress to executive teams.

  • Balance technical debt and other maintenance activities alongside new feature development within each sprint.

  • Work with partners and customers to establish and handle product backlogs, product estimates and budgets.

  • Stay ahead of on emerging technologies and industry trends to inject continuous innovation into our product roadmaps.

Skills You Will Need Here:

Education & Experience

  • Bachelor's degree in Computer Science or a related field, or an equivalent combination of education and recent, relevant work experience.

  • 3+ years of technology leadership experience, including developing technology strategies, fostering innovation, and leading globally distributed teams.

Generative AI & Emerging Technologies

  • Solid understanding of AI concepts, technologies and methods, including machine learning, Language, Reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.

  • Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI CODEX, LangChain).

Architecture & Cloud Platforms

  • Experience in maintaining and/or modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies.

  • Ability to design and develop APIs that integrate legacy systems with modern solutions.

  • Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.

Software Engineering & Product Delivery

  • Proven ability to build secure, resilient, scalable, high-availability enterprise systems for global user bases.

  • Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps

  • Proven success organizing teams and delivery around a Product Operating Model

Collaboration & Communication

  • Demonstrated skills in working with cross-functional teams in distributed, remote-first environments.

  • Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives.

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

In this position, you will be eligible to participate in the company'sdiscretionaryincentive bonus program. This position's bonus target amount, which is not guaranteed and is dependent on individual performance and overall company results among other factors, is provided below.

15% Annual: Individual Target$101,900.00 - $163,000.00 USD