AI/ML Engineer Castalia SystemsAI/ML EngineerArlington, VA$135,000–$145,000 / yearThe AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. Salary at Castalia Systems is determined by various factors, including but not limited to location, position knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Senior Data Scientist Venture Global LNGSenior Data ScientistArlington, VirginiaUsing reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies.
Senior Algorithm & Signal Processing Researcher STRSenior Algorithm & Signal Processing ResearcherWashington, DC$139,000–$170,000 / yearTo support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.
NewML Ops & Data Platform Engineer PeopleNTech LLCML Ops & Data Platform EngineerAlexandria, VABuild batch and streaming ingestion/ETL/ELT pipelines using AWS Glue (jobs, crawlers) Implement data cataloging, governance, and access control, in collaboration with governance/security stakeholders, using the Glue Data Catalog and Lake Formation (finegrained, cross-team permissions), and optionally DataZone for data product publishing/discovery across science teams Enable self-service analytics and data access for scientists across the Science Office via Athena including query patterns, cost controls, and onboarding documentation. AWS Lambda and Step Functions for orchestration and event-driven workflows S3 as the primary data/artifact layer, with lifecycle and access policies CloudWatch (and related tooling) for logging, metrics, and alerting IAM & VPC design following least-privilege and network security best practices Infrastructure as Code via AWS CDK or CloudFormation Implement CI/CD pipelines for ML (data, model, and code), including automated testing, packaging, and promotion of models across dev/staging/production environments.
Data Scientist SteampunkData ScientistMcLean, Virginia$125,000–$160,000 / yearOverview: We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams.
Director, Product Management - Enterprise AI/ML Discover Financial ServicesDirector, Product Management - Enterprise AI/MLMcLean, VA$209,500–$239,100 / yearThe Director of Product Management - Enterprise AI/ML will lead a product team spanning the Machine Learning and AI platforms at Capital One, and will be responsible for the capabilities that enable Capital One associates to train and serve Models and Generative/Agentic AI applications that power our business. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
AI Applications Engineer Bright Vision TechnologiesAI Applications EngineerReston, VARemoteFull timeIn this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably.
Staff Software Engineer XometryStaff Software EngineerNorth Bethesda, MDXometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. The estimated base salary range for new hires into this role is $140,000- $230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location.
NewEconomic Data System Engineer/Sr. Economic Data System Engineer-ITDDPED International Monetary FundEconomic Data System Engineer/Sr. Economic Data System Engineer-ITDDPEDWashington DC, District of ColumbiaEngineering data solutions/systems using technologies such as SQL, Python, Spark, Fabric, Databricks, Hadoop ecosystem tools, distributed processing frameworks, workflow orchestration platforms, cloud-native data services, lakehouse and warehouse platforms, API integration frameworks, NoSQL databases, search technologies, and enterprise analytics and visualization tools. Hands-on proficiency in SQL and Python and experience with relevant data platforms, databases, APIs, orchestration tools, streaming technologies, cloud-native services, open data formats, search technologies, and analytics tools, such as Microsoft Fabric, Power BI, Databricks, Spark, Snowflake, BigQuery, and comparable technologies.
NewEconomic Data System Engineer/Sr. Economic Data System Engineer-Itddped International Monetary FundEconomic Data System Engineer/Sr. Economic Data System Engineer-ItddpedWashington, DCEngineering data solutions/systems using technologies such as SQL, Python, Spark, Fabric, Databricks, Hadoop ecosystem tools, distributed processing frameworks, workflow orchestration platforms, cloud-native data services, lakehouse and warehouse platforms, API integration frameworks, NoSQL databases, search technologies, and enterprise analytics and visualization tools. Hands-on proficiency in SQL and Python and experience with relevant data platforms, databases, APIs, orchestration tools, streaming technologies, cloud-native services, open data formats, search technologies, and analytics tools, such as Microsoft Fabric, Power BI, Databricks, Spark, Snowflake, BigQuery, and comparable technologies.
NewAI Engineer GD Information TechnologyAI EngineerSterling, VirginiaRemoteTechnical Skills: Python, Machine Learning, Deep Learning, SQL, Data Science, PyTorch, Docker, TensorFlow, Artificial Intelligence, Natural Language Processing, Linux, JavaScript, MATLAB, Architecture, Data Analytics, Kubernetes, MSFT Azure Platform, Big Data, Hadoop, Visualization, Software Development, and Agile. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
Data Architect - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph Synertex LLCData Architect - National Capital Region (NCR); Must have an active TS/SCI Clearance with PolygraphBethesda, MDFull timeREQUIREMENTS:TS/SCI clearance with polygraph required, including additional security screeningsEducation and Experience RequirementsCandidates must meet the following minimum education and relevant experience combinations by level:Entry Level:HS/GED + 6 years experienceAssociate's + 4 years experienceBachelor's + 2 years experienceMaster's degree (experience may be substituted as appropriate)Journeyman Level:HS/GED + 8 years experienceAssociate's + 6 years experienceBachelor's + 4 years experienceMaster's + 2 years experienceSenior Level:HS/GED + 10 years experienceAssociate's + 8 years experienceBachelor's + 6 years experienceMaster's + 4 years experiencePhD + 2 years experienceExpert / Master Level:HS/GED + 12 years experienceAssociate's + 10 years experienceBachelor's + 8 years experienceMaster's + 6 years experiencePhD + 4 years experience Join a mission-driven team advancing government communication capabilities and operational readiness. This role focuses on building scalable, secure, and compliant data architectures that enable advanced analytics, machine learning, and mission-driven decision-making across multi-cloud ecosystems.
Systems Integrator ArcfieldSystems IntegratorChantilly, VirginiaFull timeThere are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. Our solution areas include space mission engineering, atmospheric science, digital engineering, mission assurance, and advances in modeling and simulation that together with our enterprise-wide adoption of artificial intelligence and machine learning, lead to better systems and timely, reliable decision-making.
Cybersecurity AI/ML Engineer Booz Allen HamiltonCybersecurity AI/ML EngineerMcLean, Virginia$99,000–$225,000 / yearDesign, build, and deploy production AI/ML services for cybersecurity, including supervised and unsupervised detection models, anomaly and behavioral analytics, NLP on security text, retrieval-augmented generation (RAG) pipelines, agentic workflows, and LLM-assisted analyst tooling and own them end-to-end, data ingest feature pipelines training and tuning packaging deployment serving monitoring retraining. Experience developing, testing, and integrating ML services across security tools and platforms using APIs, automation, and workflow orchestration and applying AI and machine learning to cybersecurity use cases such as threat and anomaly detection, behavioral analytics, alert triage and prioritization, threat hunting support, analyst copilots, and response automation with measurable impact on SOC outcomes.
Devsecops Engineer Occam SolutionsDevsecops EngineerArlington, VAThe DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in PWS Section 4.5 - Technical Infrastructure and Platform Support, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment. Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.
AI Customer Success Engineer - Ts/Sci Clearance With CI Poly PGTEKAI Customer Success Engineer - Ts/Sci Clearance With CI PolyMcLean, VAThe ideal candidate excels at identifying customer pain points, translating complex technical concepts into clear business value, and collaborating across engineering, sales, and program teams to deliver an exceptional customer experience in a classified environment. In this role, you will serve as the primary customer advocate, ensuring customers achieve measurable outcomes from our AI-powered platforms through strategic guidance, technical coordination, and relationship management.
Financial Intelligence Data Analyst, Mid Booz Allen HamiltonFinancial Intelligence Data Analyst, MidUsa, District of ColumbiaNot only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on our national security policy and economic statecraft issues, contributing to high-profile intelligence analysis for key policy and decision-makers. As a client-facing data analyst on our Financial Intelligence team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle.
EPM Cloud Application Developer Booz Allen HamiltonEPM Cloud Application DeveloperMcLean, VirginiaCollaborate regularly with management, colleagues, and cross‑functional partners to deliver project updates, recommend improvements, and present new development and AI‑driven capabilities that support strategic decision‑making. Manage full life‑cycle development for planning applications, including defining and documenting business requirements, designing key processes, building rules and Essbase calculations, and establishing robust data sourcing strategies.
Cyber Security Architect Booz Allen Hamilton Inc.Cyber Security ArchitectMclean, VA$99,000–$225,000 / yearYour technical expertise will be vital as you help customers overcome their most difficult challenges by leading Cybersecurity technologies and domains, including IoT and Cloud security, Automation and Orchestration (A&O), identify and access management, and machine learning. You'll coordinate with dynamic team of thought leaders and experts to identify the right mix of tools and techniques to translate your customer's IT needs and future goals into a plan that will enable secure and effective solutions.
Cybersecurity Ai/Ml Engineer Booz Allen Hamilton Inc.Cybersecurity Ai/Ml EngineerMclean, VA$77,600–$176,000 / yearWhat You'll Work On: Design, build, and deploy production AI/ML services for cybersecurity, including supervised and unsupervised detection models, anomaly and behavioral analytics, NLP on security text, retrieval-augmented generation (RAG) pipelines, agentic workflows, and LLM-assisted analyst tooling and own them end-to-end, data ingest feature pipelines training and tuning packaging deployment serving monitoring retraining. Experience developing, testing, and integrating ML services across security tools and platforms using APIs, automation, and workflow orchestration and applying AI and machine learning to cybersecurity use cases such as threat and anomaly detection, behavioral analytics, alert triage and prioritization, threat hunting support, analyst copilots, and response automation with measurable impact on SOC outcomes.