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Senior Machine Learning Engineer Jobs in Charleston, WV

Lyra Health

Senior Software Engineer

Charleston, WV · Remote

$128K - $176K/yr

Understanding of basic machine learning principles and how to support inference of ML models in ... Senior Software Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base ...

Lyra Health

Staff ML Engineer (ML/AI)

Charleston, WV · Remote

$161K - $221K/yr

Design and execute the long-term roadmap for Lyra's machine learning and generative AI platform ... Elevate the engineering culture by mentoring Senior ML Engineers, conducting high-leverage ...

Mendix

Senior Solutions Consultant, BFSI

Charleston, WV · Remote

$160K - $250K/yr

Siemens Intelligence Center X (ICX) combines enterprise knowledge graphs, AI and machine learning ... engineering, or solution architecture supporting enterprise knowledge graph, data and AI/ML, or low ...

Bjak

Applied AI Engineer

Charleston, WV · Remote

Role As an Applied AI Engineer, you will turn model capabilities into real product behavior. You ... This role sits at the intersection of machine learning, systems, and product, focusing on making AI ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Forward Deployed Engineers(FDEs)at SailPoint embark on their journey by undergoing comprehensive ...

Surescripts

Principal AI Engineer

Charleston, WV · Hybrid

... senior engineering role with a focus on leading and mentoring engineers to deliver software products * 3+ years of hands-on machine learning / AI engineering experience * Proven experience ...

Lyra Health

Senior AI/ML Backend Engineer

Charleston, WV · Remote

$143K - $197K/yr

Be part of a team working on building our machine learning and generative AI backend services that ... a full-time Senior AI/ML Backend Engineer, you will be employed by Lyra Health, Inc. The ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Charleston, WV

Senior Machine Learning Engineer information

See Charleston, WV salary details

$57.9K

$123.2K

$178.7K

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

As of Aug 14, 2026, the average yearly pay for senior machine learning engineer in Charleston, WV is $123,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $139,700.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Charleston, WV?

The most popular types of Machine Learning Engineer jobs in Charleston, WV are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Charleston, WV?

For Senior Machine Learning Engineer jobs in Charleston, WV, the most frequently searched job titles are:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Charleston, WV as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,217 per year, or $59.2 per hour.

Senior Technical Consultant - Data & Analytics

AHEAD

Charleston, WV • Remote

$160K - $200K/yr

Full-time

Re-posted 6 hours ago

Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
 
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. 
 
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. 
 
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 

AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support our clients’ advanced analytics, data science, and other data platform initiatives. This consultant will  design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on technically, but also present to leadership, and lead projects. 
 
The Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets.
Roles and Responsibilities
  • A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems
  • Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
  • Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases
  • Engineers and supports data structures including but not limited to SQL and NoSQL databases
  • Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
  • Engineers API’s for returning data from these structures to the Enterprise Applications
  • Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
  • Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
  • Works with other scrum team members to estimate and deliver work inside of a sprint
  • Research data questions, identifies root causes, and interacts closely with business users and technical resources
Qualifications
  • 8+ years of professional technical experience
  • 4+ years of hands-on Data Architecture and Data Modelling.
  • 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
  • 4+ years of programming languages such as Python
  • 2+ years of experience working in cloud environments (AWS and/or Azure)
  • Strong client-facing communication and facilitation skills
Key Skills
  •  Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data Engineering
The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.  
 
Why AHEAD:
 
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
 
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
 
USA Employment Benefits include: 
- Medical, Dental, and Vision Insurance 
- 401(k) 
- Paid company holidays 
- Paid time off 
- Paid parental and caregiver leave 
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details. 
 
Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
 
If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. 
 
You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview.  Candidates will not be penalized for choosing to opt-out.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.