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Contract Machine Learning Engineer Jobs in Charleston, WV

Sr. DevOps Engineer

Charleston, WV · Remote

$128K - $176K/mo

Collaborate closely with the engineering, data science and machine learning teams to continually implement, maintain, and improve our cloud infrastructure and developer experience. * Platform ...

Data Engineer

Charleston, WV · Remote

$118K - $148K/yr

As a Data Engineer, you will play a critical role in shaping Gopuff's modern data platform. You'll ... and machine learning * Contribute to the architecture and maintenance of the Data Platform ...

Process Engineer Location: Buffalo, WV, 25033 Job Type: 1+ year Contract About CTC: Since its ... Key Responsibilities * Develop operating process plans for machining and assembly operations.

Working closely with software engineering, data infrastructure, Corporate Technology, and business ... Architect end-to-end, enterprise-scale AI and machine learning solutions on Google Cloud Platform ...

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 ...

VP of Engineering, Applications

Charleston, WV · Remote

$184K - $237K/yr

This role is a senior engineering leader who stays close to the product, makes hard technical ... Partner closely with Machine Learning leadership to translate model capability into shippable ...

Showing results 41-60

Contract Machine Learning Engineer information

See Charleston, WV salary details

$30.6K

$125.1K

$188.1K

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

As of Aug 19, 2026, the average yearly pay for contract machine learning engineer in Charleston, WV is $125,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

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 Contract Machine Learning Engineer jobs in Charleston, WV?

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

What cities near Charleston, WV are hiring for Contract Machine Learning Engineer jobs?

Cities near Charleston, WV with the most Contract Machine Learning Engineer job openings:

Infographic showing various Contract Machine Learning Engineer job openings in Charleston, WV as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,147 per year, or $60.2 per hour.

30 OPENINGS | SOFTWARE/CLOUD/DATA | FBI PROGRAM | RELOCATION with Security Clearance

Kforce Federal Solutions

Charleston, WV • On-site

$58.25 - $75.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Note: This role would require relocating if not local to Huntsville, Alabama (#1 Place to Live) ***One Round Interview / faster offers! *** Start 3-4 weeks*** Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more
Relocation Package: Yes Apply Today! or
Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ ➡️Cloud Developer – 6+ YOE
Skills: CloudFormation, Terraform, AWS, Model Deployment, Lambda, CI/CD, GitLab, Kubernetes, Docker ➡️Cloud Developer – 8+ YOE
Skills: AWS, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS ➡️Cloud Developer – 10+ YOE
Skills: Advanced AWS Infrastructure, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Recycle Bin, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS; Nice: Prior Sys Admin Experience ➡️Data Analyst – 10+ YOE
Skills: Python, SQL, Exploratory Data Analysis, GitLab, Data Documentation, Power BI, Requirements Gathering
Data Engineer – 8+ YOE
Skills: ETL, Informatica, Linux ➡️Data Engineer– 8+ YOE
Skills: NiFi, Java, AWS, ETL, Spark, Scala, SQL, PL/SQL, Linux, Data Pipelines; Nice: Agile, Maven, GitLab
Data Scientist / Data Engineer – 8+ YOE
Skills: Python, Java or Scala, AWS, Natural Language Processing (NLP), Machine Learning, Statistical Analysis & Model Evaluation, Git, GitLab CI/CD ➡️Developer– 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️DevOps Engineer – 6+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️DevOps Engineer – 8+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️Solutions Architect – 8+ YOE
Skills: ElasticSearch/OpenSearch, Cluster Deployment & Configuration, Backup & Recovery, Cluster Monitoring, Indexing, AWS, Application Load Balancers (ALB); Nice: Java ➡️Software Developer – 6+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, REST APIs, Microservices, GitLab CI/CD ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️Software Engineer – 10+ YOE
Skills: Java, Microservices, Spring Boot, Docker, Python, Terraform, GitLab; Nice: Terragrunt, Agile, Maven The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.