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Ml Platform Engineer Jobs in Virginia (NOW HIRING)

Adarga

Platform Engineer - US

Herndon, VA · On-site

The Role Adarga is growing its Platform Engineering team and we're looking for a Platform Engineer ... Exposure to defence, national security, and AI/ML workloads at production scale Essential ...

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Design model-serving platforms supporting secure, scalable, and reliable batch or real-time inference * Establish model monitoring, performance tracking, drift detection, explainability, and ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Design model-serving platforms supporting secure, scalable, and reliable batch or real-time inference * Establish model monitoring, performance tracking, drift detection, explainability, and ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Design model-serving platforms supporting secure, scalable, and reliable batch or real-time inference * Establish model monitoring, performance tracking, drift detection, explainability, and ...

Vantor

Geospatial Platform Engineer

Mclean, VA · On-site

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission ...

SES

Sr AI Platform Engineer - ZL

Centreville, VA · On-site

Required Qualifications 8+ years of software, cloud, platform, DevOps, or infrastructure engineering experience. 3+ years building enterprise cloud or platform services. 1 2+ years supporting AI/ML ...

Apavo Corporation

AI ML Engineer/Developer

VA · On-site

$325K/yr

Architect, build, and maintain enterprise-scale data platforms supporting vector databases ... ML Data Engineer is expected to have additional duties as assigned in support of corporate ...

VivSoft

Platform Engineer (TS/SCI)

Springfield, VA · On-site

The Platform Engineer plays a senior leadership role supporting the National Geospatial ... AI/ML across other Programs at NGA, the DIE, and the IC. • Demonstrates knowledge of the current ...

REDLattice

AI/CNO Engineer

Chantilly, VA · 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 ...

Credence

Cloud Platform Engineer

Mclean, VA · Remote

$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 ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Virginia

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 are popular job titles related to Ml Platform Engineer jobs in Virginia?

For Ml Platform Engineer jobs in Virginia, the most frequently searched job titles are:

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:

Ml Platform Engineer jobs near you
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.

Platform Engineer - US

Adarga

Herndon, VA • On-site

Full-time

Posted 21 days ago

Job description

About Adarga
Adarga builds AI systems for customers working in Defence, Security and Resilience. With a core focus on our multimodal data fusion platform, we combine the value of humans and agents to transform information overload into decision advantage.
Our team is a hybrid of domain specialists and technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining and building the next era of sovereign AI capability.
To work at Adarga you have to care deeply about the mission. We exist to support those with the ultimate task: upholding the liberties and values that define our society. We want people who are comfortable with uncertainty, who want to own decisions, who want to drive a vision.
The Role
Adarga is growing its Platform Engineering team and we're looking for a Platform Engineer to join us. This is an excellent opportunity for someone who wants to develop their their platform or DevOps skills in a fast-paced, mission-driven environment.
You'll work alongside experienced platform and software engineers, learning modern DevOps practices used to maintain a containerised microservices architecture. Our product is cloud native and highly automated - but there's always more to build, improve and optimise. You'll receive committed mentoring from an experienced team while making a genuine contribution to production systems that matter.
Your days will be dynamic: a mixture of development, learning, and supporting our product releases. You'll gain exposure to a wide range of technologies and have a clear path toward increased responsibility and personal growth.
What you'll be doing
  • Assist in maintaining and improving our cloud infrastructure and account structure
  • Contribute to our Infrastructure as Code codebase, primarily using Terraform
  • Support the deployment and operation of containerised applications in Kubernetes
  • Help automate infrastructure delivery pipelines and CI/CD workflows
  • Assist in monitoring, logging, and observability tasks across our platform
  • Support disaster recovery testing and data backup/restore processes
  • Work with software engineers and data scientists to understand and support their infrastructure needs
  • Learn and apply DevSecOps principles, integrating security into everyday workflows
  • Participate in incident response and troubleshooting under guidance from senior engineers

What you'll get
  • Make a real impact - our flagship products will rely on the systems you help build and support
  • Continuous learning across a wide array of cloud-native technologies
  • Committed mentoring and training from an experienced platform engineering team
  • A clear path to increased responsibility, leadership, and personal growth
  • Exposure to defence, national security, and AI/ML workloads at production scale

Essential requirements
  • Experience with US Government Cloud systems
  • Experience in the FEDRAMP process
  • Hands-on Linux systems administration (or equivalent practical experience)
  • Practical experience with GCP and AWS services and concepts
  • Experience with Kubernetes, ideally GKE, and container fundamentals (Docker/Kubernetes)
  • Scripting ability in Bash, Python, or similar for automation tasks
  • Strong networking fundamentals (DNS, HTTP/S, TCP/IP, firewalls, load balancing)
  • Proficiency with Git and collaborative engineering workflows
  • Familiarity with GitOps and declarative configuration management
  • Ability to effectively leverage AI-assisted tools to accelerate engineering workflows
  • Strong problem-solving skills, ownership, and willingness to learn
  • Clear communication and effective team collaboration

Desirable requirements
  • Exposure to multi-cloud environments (AWS/GCP/Oracle) and migration patterns
  • Experience with Terraform/OpenTofu and Terragrunt
  • Experience with CI/CD and GitOps tooling (GitHub Actions, Atlantis, Argo CD)
  • Experience operating Kubernetes platforms in production (RBAC, ingress, observability)
  • Awareness of cloud security and compliance principles (least privilege, CIS, ISO 27001)
  • Experience with monitoring/observability tooling (Prometheus, Grafana, Loki and Tempo)
  • Relevant certification (e.g., Associate Cloud Engineer, AWS Certified Cloud Practitioner, AWS Certified Solutions Architect - Associate)

Further information
You will take part in cross-functional and cross-team communication to enhance collaboration. These will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects.
This is a fantastic opportunity for a candidate at the start of their platform engineering career to develop their skills in an exciting, technology-led company working on genuinely important problems.
Interview Process
  • Getting to know you: In the first call, our recruiter will learn about you and your story to check a potential fit for Adarga. This is also a chance for you to ask initial questions about the role and company.
  • Team Interview: You'll meet with your potential team members who will take a deeper dive into the technical aspects of the role. Expect some high-level technical questions, competency-based questions, and another chance to ask questions.
  • Technical Interview: You'll work with your potential team members on technical questions and challenges. This will be a collaborative session - we're interested in how you think and approach problems, not whether you have all the answers.
  • Final Interview: The last stage! Here we'll gain a better understanding of your experience to date, discuss different projects you've worked on and the impact you've had, and give you an opportunity to meet more of the wider team.

Contact
careers@adarga.ai
Find out more about Adarga: https://adarga.ai/careers
Diversity & Inclusion at Adarga
Adarga recruits, trains, promotes and employs regardless of race, background, gender, colour, religion, disability, age, gender identity or any other protected status. In addition to this, we actively promote and encourage diversity of thought through multiple avenues. Adarga is dedicated to building and maintaining an inclusive environment where people feel valued, appreciated, and free to be themselves without prejudice.
Recruitment Company Statement
We approach everything with transparency and integrity. To avoid wasting anyone's time, here is our policy on working with recruitment companies:
At present, we are not working with any new recruitment agencies, because we only want to work directly with individual applicants who can contact our People Team through careers@adarga.ai

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