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Remote Full Stack Machine Learning Engineer Jobs in Delbarton, WV

OneSix - External

Senior Data Scientist

Canada, KY · On-site +1

$140K - $180K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI ... R or C++ a plus * Comfortable across the full deployment stack: managed cloud services and ...

OneSix - External

Lead Data Scientist

Canada, KY · On-site +1

$160K - $200K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI ... Comfortable across the full deployment stack: managed cloud services and building from scratch with ...

Flashfood

Senior Revenue Operations Manager

Canada, KY · Remote

Own and optimize the full revenue tech stack -- including HubSpot, Apollo, and Tableau -- to drive ... Competitive salary, equity, and comprehensive benefits * 100% remote work with flexibility and ...

New

All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Delbarton, WV

Remote Full Stack Machine Learning Engineer information

See Delbarton, WV salary details

$42.2K

$127.9K

$180.8K

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

As of Jul 8, 2026, the average yearly pay for remote full stack machine learning engineer in Delbarton, WV is $127,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What cities near Delbarton, WV are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Delbarton, WV with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you

Senior Data Scientist

OneSix - External

Canada, KY • On-site, Remote

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

About OneSix 

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. 

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

Senior Data Scientist 

OneSix is looking for a Senior Data Scientist to build and deploy cutting-edge ML solutions for a diverse client base. You\'ll work alongside engineers and scientists to tackle complex problems, push the state of the art, and help shape how we do ML at OneSix. While this isn\'t a people management role, you\'ll serve as a technical anchor on your team — mentoring others and influencing project direction.

What You\'ll Do
  • Research, design, and build ML models across a range of use cases — we work with clients across industries and problem types
  • Work across the full deployment spectrum: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized solutions built from scratch in Python on raw infrastructure
  • Collaborate with engineers to integrate models into production environments and uphold MLOps best practices
  • Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability
  • Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement
  • Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders
What You Bring
  • 4+ years of hands-on ML experience with a track record of shipping models to production
  • You have a strong suit in at least one area — predictive/classical ML, computer vision, or LLM/agentic systems — and you’re genuinely curious about adjacent domains
  • Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus
  • Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments)
  • Deep understanding of ML algorithms, statistical modeling, and optimization
  • M.S. in a quantitative field, or equivalent depth demonstrated through shipped work
  • Clear communicator who can explain their methodology and defend their choices
  • Must be based in the US or Canada
Compensation / Benefits
  • Competitive compensation
  • Company-paid medical, vision, dental, and wellness benefits for employees 
  • 401k Employer match
  • Company-provided home office equipment
  • Flexible vacation and sick days
  • Team-oriented and supportive working environment   
  • Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$180,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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