1

Artificial Intelligence And Machine Learning Jobs in Virginia

AI Solutions Architect

Mclean, VA · On-site

$163.40 - $322.10/hr

... artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth strategies, managing pipelines, supporting proposal development, and ...

New

Showing results 21-40

Artificial Intelligence And Machine Learning information

See Virginia salary details

$13

$26

$48

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

As of Aug 7, 2026, the average hourly pay for artificial intelligence and machine learning in Virginia is $26.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $27.64 per hour, depending on experience, location, and employer.

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 such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

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.

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.

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 job categories do people searching Artificial Intelligence And Machine Learning jobs in Virginia look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Artificial Intelligence And Machine Learning jobs? Cities in Virginia with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,333 per year, or $26.1 per hour.

Artificial Intelligence/ Machine Learning Developer

Unissant

Ashburn, VA • On-site

$127K - $197K/yr

Full-time

Re-posted 29 days ago


Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.Essential Duties and Responsibilities:Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.This is a client-facing position working on-site as per the requirements established by the DHS customer.Develop, train, and deploy advanced AI/ML and Gen-AI models.Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.Optimize model performance, ensuring accuracy, efficiency, and scalability.Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.Work Experience and Job Skills:3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)Experience with machine learning and generative AI frameworks.Experience with natural language processing techniques (e.g., text classification, language generation).Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applicationsProficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.An understanding and competency surrounding data storage, accesses, and loading.Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.ETL/ELT ConceptsData warehouse conceptsSQLCompetency in data exploration, analytics, and feature engineering. (Python Specific)Pandas / NumPy / Polars / PySparkPlotly / Matplotlib (some form of data visualization)Data encoding / normalizing / regularizing / etc.Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.Proficiency in NLP Tools SpaCy, ThinC, Gensim.Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.Adaptability to changing priorities and a willingness to learn and grow are essential.Excellent organizational skills, and ability to effectively manage concurrent projects.Comprehensive problem-solving skills with exceptional attention to detail.Ability to learn, evolve, think creatively and proactively.Able to work under pressure (at times) and to be extremely flexible with changing prioritiesAbility to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.Education:Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.Certificates, Licenses and Registrations:This federal program requires the candidates to be a United States Citizen.Must have an active DHS clearance.Any related systems engineering, or related technical certifications are desired.AWS/Azure/GCP AI/ML certifications are preferred but not required.Communication Skills:Must have excellent written and verbal communication skillsAbility to convey technical information to non-technical individuals.Demonstrated experience communicating effectively across internal and external organizations.Must work well in a matrixed team environment. ​Travel:On-site in Ashburn, VAEnvironmental Requirements:Mainly sedentary; in an office environmentMay be required to lift up to ten (10) poundsFlexible in working extended hoursThe above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.Please note: Candidate(s) will be required to go through pre-employment screening.Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) 
Job Posted by ApplicantPro