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Flexible Remote Machine Learning Engineer Jobs in West Virginia

... AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

... AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Cloud Engineer Principal

WV ยท On-site +1

$131K - $178K/yr

... flexible and enjoys tackling challenges, and desires to join a large team that is building and ... Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

Overview We are looking for a Staff Software Engineer to lead the delivery of high-throughput ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

New

Solution Architect - HIGLAS/HOM Program (CMS)

WV ยท On-site +1

$56.75 - $74.75/hr

Artificial Intelligence(AI) and Machine Learning (ML), Analytics & Automation * Identify and ... Partner with data/ML engineers to define pipelines, models, and reference architectures for ...

As a Senior Sales Engineer , you will work with Sales, Client Services, and Product Management ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Senior Solutions Consultant

Charleston, WV ยท On-site +1

$94K - $159K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote Proof of Value (POV) evaluations * Provide feedback to Product ...

Bachelor's degree in Computer Science, Engineering, or related field * 3+ years of experience as a ... Subsidies/reimbursements for remote office setup * Subsidies for professional learning ...

Account Executive - Splunk (Remote)

Charleston, WV ยท On-site +1

$269K - $360K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... Exempt employees participate in Cisco's flexible vacation time off program, which has no defined ...

... Flexible PTO and paid holidays Wellness programs and mental health ... support Remote-first flexibility to support work-life balance Learning and development ...

Sr. Structural Engineer

$93K - $126K/yr

This remote-based role is posted and available for candidates not local to an existing Farnsworth ... Flexible Spending and Health Savings Accounts * Short amp; Long-Term Disability * Maternity and ...

$124K - $167K/yr

Build learning mechanisms: architecture guilds, tech talks, post-incident reviews, and hands-on ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$124K - $167K/yr

Build learning mechanisms: architecture guilds, tech talks, post-incident reviews, and hands-on ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Showing results 41-60

Flexible Remote Machine Learning Engineer information

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in West Virginia?

For Flexible Remote Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in West Virginia look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in West Virginia are:

What cities in West Virginia are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities in West Virginia with the most Flexible Remote Machine Learning Engineer job openings:

Tech Lead/Sr Manager, Software Engineering

Cengage Learning

Charleston, WV โ€ข On-site, Remote

Full-time

Re-posted 11 days ago


Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping learners 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.

What you'll do here:

As an Engineering Manager / Technology Lead in our Product Technology and Innovation organization, you are responsible for the delivery of innovative, market leading platforms and products that continue to improve the education technology industry. Specifically, you will lead our Cengage's flagship ed2go engineering teams that provide focused digital learning experiences. As a successful technology leader, you will build and lead remote software engineering organizations using agile principles to architect and deliver high availability and Cloud Native software. You will partner closely with product and design teams and lead through data driven insights. With an eye toward customer centric focus, you will obsess about customer outcomes in every decision made and drive measurable improvements in user engagement. We want to take you with us on this journey to transform the education industry. If you are excited about digital transformation and want to work in a fast-paced environment and an exciting industry, this role is for you.

As the Engineering Manager, you will divide time, effort and attention between team management responsibilities and product development responsibilities - leading software development teams for application development and platform support. You will be working in a multi-functional and Agile team environment. You will work jointly with other technology and product leads to provide direction and leadership to the Agile teams. Managers must be comfortable with situational leadership, able to function equally well as a leader or as a team member respecting the team opinion.

Job Duties
  • Apply Agile methodologies and the principles of Product Operating Model (POM) to drive iterative development, continuous improvement, and rapid time-to-market.

  • Collaborate directly with engineering teams to define user stories, prioritize backlog items, and drive timely, high-quality product releases.

  • Act as a player/coach, both creating solutions and owning the team(s) for solution implementation.

  • Communicate clearly across product teams, technology teams, interface designers and domain authorities in different parts of the organization.

  • Meet with product partners, customers and other technologists to understand customers' learning and technological needs; provide guidance on technology solution options.

  • Monitor product performance, analyze important data, and gather user feedback to continuously iterate and improve the product. Conduct post-release evaluations, retrospectives, and A/B testing to inform future product enhancements and strategic decision-making.

  • Design, architect, and implement new features and functionality with the expectation that you will own and drive the development using an iterative methodology and deliver products that scale to support our millions of customers.

  • Responsible for ensuring our customers enjoy a consistently reliable and high-performing experience with our platforms, available 24/7.

  • Stay up to date with emerging technologies and industry trends and integrate relevant advancements into our product roadmaps.

  • Cultivate a high-performance, transparent culture of continuous improvement focused on accountability and results.

Skills you will need here:
  • 5+ years of leadership experience, including developing technology strategies and driving innovation

  • Experience building, developing, motivating and leading a global workforce of employees and contractors across different time zones

  • Strong experience modernizing monolithic architectures, implementing hybrid cloud strategies, and creating APIs to bridge legacy systems with cloud-native platforms.

  • Expertise in AWS (EC2, S3, Lambda, RDS, CloudFormation), cloud-native development (Kubernetes, Docker, microservices), and Infrastructure as Code (Terraform, AWS CDK).

  • Proven track record to compose and build scalable, secure, high-availability enterprise systems, bringing to bear CI/CD pipelines and automated testing frameworks for global user bases.

  • Skilled in agile methodologies (Scrum, Kanban, SAFe), fostering high-performing engineering teams, and using tools like Jira or Azure DevOps to ensure efficient delivery and alignment with business priorities

Generative AI & Emerging Technologies
  • Proven understanding of generative AI concepts and frameworks, such as LLMs, multimodal models, prompt engineering, AI agent orchestration, retrieval augmented generation, and vector databases.

  • Familiarity with agentic workflows and AI-enabled automation for applications such as content management, search, personalization, or workflow optimization.

  • Knowledge of AI safety, responsible AI practices, and content moderation systems

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

  • Motivation to be up to date with advancements in GenAI, MLOps, and digital transformation.

Collaboration & Communication
  • Strong interpersonal and collaboration skills-capable of partnering effectively with multi-functional teams, including product, build, and engineering, in distributed and remote-first environments.

  • Experienced in breaking down complicated technical concepts for diverse technical and non-technical audiences, including executives and partners.

  • Proactive approach to learning new technologies, embracing experimentation, and incorporating emerging practices into platforms and teams.

  • Commitment to continuous improvement for both product and engineering culture.

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.

20% Annual: Individual Target$138,200.00 - $221,100.00 USD