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Artificial Intelligence Machine Learning Engineer Jobs in Alexandria, VA

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Artificial Intelligence Machine Learning Engineer information

See Alexandria, VA salary details

$33.7K

$137.8K

$207.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Alexandria, VA is $137,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $165,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Alexandria, VA?

For Artificial Intelligence Machine Learning Engineer jobs in Alexandria, VA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Alexandria, VA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Alexandria, VA with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Alexandria, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $137,823 per year, or $66.3 per hour.

Artificial Intelligence/Machine Learning Engineer

Solutions³ LLC

Arlington, VA • On-site

$150 - $200/hr

Other

Re-posted 23 days ago

Job description

Job Title

Applications Developer III

Description

Solutions³ LLC is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber‑attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.

Eligibility
  • US Citizen
  • Must have an active Secret clearance with the ability to obtain a TS/SCI
  • Must be able to obtain DHS Suitability prior to starting employment
  • 5+ years of experience in automation engineering, data engineering, or software development
Responsibilities Include
  • Develop automated data pipelines for machine learning technology integration initiatives
  • Create automation workflows for malware sample collection, detonation, and taxonomy
  • Implement AI/LLM integrations with Databricks and other cloud services
  • Implement data integration automation between pilot and production systems
  • Support Automated Malware Analysis (AMA) platform development and enhancement
  • Develop scripts and tools to automate repetitive technical tasks
  • Create data transformation and normalization automation
  • Support AI/ML data preparation and feature engineering automation
  • Develop monitoring and alerting automation for integrated systems
  • Implement API integrations for data sharing and workflow automation
  • Document automation solutions and maintain code repositories
  • Support scaling automation from pilot to production environments
  • Optimize automation performance and efficiency
  • Collaborate with analysts to identify automation opportunities
  • Ensure automation solutions maintain data quality and integrity
  • Support continuous improvement of automated capabilities
Required Skills
  • Experience with data ingestion pipeline design on AWS
  • Experience with AI/LLM configuration, tuning, and integration
  • Experience with Machine Learning (ML) pipelines
  • Strong programming skills in Python, with experience in data manipulation libraries
  • Experience Amazon Bedrock (model access, endpoints, API Integration)
  • Knowledge of automation frameworks and orchestration tools
  • Experience with APIs and integration technologies
  • Understanding of database systems and data modeling
  • Familiarity with version control (Git) and CI/CD practices
  • Strong problem‑solving and analytical skills
  • Ability to translate business requirements into automated solutions
  • Strong analytical and problem‑solving skills
  • Excellent documentation and communication abilities
Desired Skills
  • Experience with malware analysis automation or cybersecurity tools
  • Knowledge of AI/ML pipelines and data preparation
  • Experience with Databricks and Databricks AI
  • Experience with workflow orchestration tools (Airflow, Prefect)
  • Background in cybersecurity or threat intelligence automation
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Knowledge of streaming data platforms (Kafka, Kinesis)
  • Familiarity with big data technologies (Spark, Hadoop)
  • Experience supporting federal cybersecurity programs
Desired Certifications
  • DoD 8140 IAT Level III
  • CSSLP
Required Education

Bachelor’s degree in Computer Science, Data Science, or related degree; or High School Diploma and 7+ years of directly relevant work experience

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