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Ml Platform Engineer Jobs in Virginia (NOW HIRING)

Cloud Platform Engineer

Mclean, VA ยท On-site

$56.25 - $75.25/hr

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... Credence has an immediate need for a Cloud Platform Engineer to support cloud modernization efforts ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$123K - $169K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$130K - $178K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

Cloud Platform Engineer

Mclean, VA ยท On-site

$56.25 - $75.25/hr

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... Credence has an immediate need for a Cloud Platform Engineer to support cloud modernization efforts ...

AI/CNO Engineer

Dulles, VA ยท On-site

$124K - $171K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$129K - $177K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$128K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$124K - $171K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$129K - $177K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$124K - $171K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$129K - $177K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$126K - $173K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

AI/CNO Engineer

Dulles, VA ยท On-site

$127K - $174K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$130K - $178K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

Senior AI Platform Engineer

Arlington, VA ยท On-site

$120K - $165K/yr

Senior AI Platform Engineer Located: Arlington Summary The Senior AI Platform Engineer is ... Hands-on experience deploying and operating GPU infrastructure for AI/ML workloads, on-premises and ...

AI/CNO Engineer

Dulles, VA ยท On-site

$124K - $171K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

Showing results 41-60

Ml Platform Engineer information

See Virginia salary details

$32

$63

$94

How much do ml platform engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ml platform engineer in Virginia is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $73.17 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What job categories do people searching Ml Platform Engineer jobs in Virginia look for?

The top searched job categories for Ml Platform Engineer jobs in Virginia are:

What cities in Virginia are hiring for Ml Platform Engineer jobs?

Cities in Virginia with the most Ml Platform Engineer job openings:

Infographic showing various Ml Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $131,885 per year, or $63.4 per hour.

Cloud Platform Engineer

Credence

Mclean, VA โ€ข On-site

$56.25 - $75.25/hr

Full-time

Re-posted 7 days ago


Job description

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. 

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. 

Credence has an immediate need for a Cloud Platform Engineer to support cloud modernization efforts for DoW customers. This role focuses on building, operating, and improving reusable cloud platform capabilities using AWS, Infrastructure as Code, CI/CD pipelines, automation, and containerization.

The ideal candidate will have hands-on experience supporting secure cloud environments, developing repeatable infrastructure patterns, improving deployment workflows, and helping engineering teams deliver workloads more efficiently. This role will work closely with Cloud Engineers, Solutions Architects, Cybersecurity Professionals, and customer stakeholders to design, deploy, troubleshoot, and improve secure AWS-based platform services.

Responsibilities include, but are not limited to:

  • Collaborate with Cloud Engineers, Solutions Architects, Cybersecurity Professionals, and customer teams to manage, modernize, and secure AWS-based platforms supporting DoW customers
  • Build, maintain, and improve reusable cloud infrastructure patterns using Infrastructure as Code tools such as Terraform and AWS CloudFormation
  • Support development and improvement of CI/CD pipelines for automated build, test, security scan, deployment, and release workflows
  • Assist application and engineering teams with onboarding workloads to platform services and standardized deployment patterns
  • Support containerized workload deployments using technologies such as Docker, Amazon ECS, Amazon EKS, and AWS Fargate
  • Troubleshoot infrastructure, pipeline, container, networking, permissions, and deployment issues across development, test, and production environments
  • Develop scripts and automation to reduce manual operational tasks and improve consistency, reliability, and delivery speed
  • Help maintain platform services related to monitoring, logging, access control, configuration management, patching, and operational support
  • Work with cybersecurity and compliance teams to ensure platform services and automation align with security, governance, and customer requirements
  • Research, evaluate, and recommend new tools, technologies, and engineering practices that improve platform reliability and developer experience
  • Document technical designs, deployment procedures, runbooks, reusable patterns, and operational processes

Requirements

  • Must be able to obtain and maintain a Public Trust
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field
  • Current CompTIA Security+ certification, or ability to obtain within the first 60 days
  • Current AWS certification, or ability to obtain within the first 90 days
  • 5+ years of experience in cloud engineering, platform engineering, DevOps, systems administration, infrastructure automation, or a related technical role
  • Hands-on experience with AWS environments and core services such as EC2, S3, IAM, VPC, Security Groups, RDS, EFS, CloudWatch, CloudTrail, and AWS Systems Manager
  • Working experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or similar technologies
  • Experience developing, maintaining, or supporting CI/CD pipelines using tools such as GitLab CI/CD, Jenkins, GitHub Actions, AWS CodePipeline, or similar platforms
  • Hands-on experience with containerization concepts and tools such as Docker, Amazon ECS, Amazon EKS, or AWS Fargate
  • Proficiency with scripting or automation using Shell, PowerShell, Python, or JavaScript
  • Ability to work and produce results in an agile, fast-paced environment with dynamic deadlines
  • Strong written and verbal communication skills, including the ability to document technical processes and procedures.

Preferred Qualifications

  • AWS Associate, Specialty, or Professional-level certification
  • Experience with Terraform modules, remote state, workspaces, and reusable IaC patterns
  • Experience with Git-based workflows, branching strategies, merge requests, and code reviews
  • Familiarity with YAML and JSON for infrastructure, pipeline, and configuration definitions
  • Understanding of orchestration and automation tools such as Ansible, Jenkins, GitLab, AWS Systems Manager, or similar technologies
  • Experience with Kubernetes tooling such as Helm, ingress controllers, namespaces, or container registries
  • Experience supporting secure environments subject to federal, Public Trust, NIST, or similar compliance frameworks
  • Familiarity with monitoring, logging, and alerting tools such as CloudWatch, Splunk, OpenSearch, Prometheus, or Grafana
  • Familiarity with AI/ML concepts, generative AI tools, or AI-assisted development workflows
  • Familiarity with Active Directory or LDAP-based solutions
  • RHEL, Linux, or Windows Server administration experience

Salary Range: $100,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.