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Artificial Intelligence And Machine Learning Jobs in Washington, DC

ManTech

Artificial Intelligence Machine Learning Engineer

Ashburn, VA · On-site +1

$117K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

In this role, you will collaborate within a cross-functional team to develop new Artificial Intelligence/Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact ...

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for artificial intelligence and machine learning in Washington, DC is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $31.59 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

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

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Washington, DC?

For Artificial Intelligence And Machine Learning jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence And Machine Learning jobs in Washington, DC look for?

The top searched job categories for Artificial Intelligence And Machine Learning jobs in Washington, DC are:

Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $62,061 per year, or $29.8 per hour.

Artificial Intelligence/Machine Learning Engineer

Solutions³ LLC

Arlington, VA • On-site

$103K - $121K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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.  
Solutions³ LLC is seeking an experienced and technically proficient Artificial Intelligence/Machine Learning Engineer to develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
Eligibility: 
  • Must be a 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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