Machine Learning Application Engineer University of MarylandMachine Learning Application EngineerCollege Park, MD$80,000–$110,000 / yearSenior-Level: Masters degree in a relevant field such as Computer Science, Computer Engineering, Software Engineering, Data Science, or related discipline, plus relevant experience and 7+ years of experience in a technical role or project management position for defense or intelligence R&D programs with experience in technology assessment, systems design, system analysis, executing on multiple technical programs with scheduled deliverables, and communicating and interfacing with government customers; or Bachelors Degree and 10+ years of relevant experience in a role of equivalent responsibility. Mid-Level: Masters degree in a relevant field such as Computer Science, Computer Engineering, Software Engineering, Data Science, or related discipline, plus relevant experience and 3+ years of experience in a technical role or project management position for defense or intelligence R&D programs with experience in technology assessment, systems design, system analysis, executing on multiple technical programs with scheduled deliverables, and communicating and interfacing with government customers; or Bachelors Degree and 5+ years of relevant experience in a role of equivalent responsibility.
Machine Learning Engineer 10a LabsMachine Learning EngineerWashingtonRemoteYou will work on problems involving reinforcement learning, model evaluations, language models, multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
Machine Learning Engineer CACIMachine Learning EngineerChantilly, Virginia$131,800–$290,000 / yearResponsibilities: Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks• Implement and optimize algorithms for large language model (LLM) integration and deployment• Build RESTful APIs and microservices to serve ML models in production environments• Write clean, maintainable, and well-documented code following object-oriented programming principles• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions• Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and application state• Containerize ML applications using Docker for consistent deployment across environments• Utilize Git for version control and participate in code reviews to maintain code quality• Conduct testing and debugging of ML applications to ensure reliability and accuracy• Support the deployment and monitoring of AI/ML models in cloud environments• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices Qualifications: Required: • Active TS/SCI clearance with Poly• Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering• Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms• Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL)• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph),• Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems• Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment Desired: • Master's degree in computer science or related field• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring• Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible• Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk• Contributions to open-source ML projects and familiarity with Agile development methodologies.
AI/Machine Learning Engineer SME Integration Innovation IncAI/Machine Learning Engineer SMEWashington, DC$200,000–$350,000 / yeari3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.
Artificial Intelligence/Machine Learning Engineer Solutions³ LLCArtificial Intelligence/Machine Learning EngineerArlington, VASolutions³ 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. 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.
Applied Machine Learning Engineer Anduril Industries IncApplied Machine Learning EngineerWashington, DC$220,000–$292,000 / yearThis third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.
Senior Data Scientist / AI Machine Learning Research Engineer CACI International IncSenior Data Scientist / AI Machine Learning Research EngineerSterling, VA$82,100–$172,400 / yearPay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.
Staff Machine Learning Engineer, AI Agent Platform Geico InsuranceStaff Machine Learning Engineer, AI Agent PlatformBethesda, MD$115,000–$260,000 / yearBuild and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste. Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
Sr Lead Machine Learning Engineer Capital OneSr Lead Machine Learning EngineerMcLean, VirginiaIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Research Scientist RF Machine Learning Peraton IncResearch Scientist RF Machine LearningCollege Park, MD$135,000–$216,000 / yearYou will collaborate with researchers, software engineers, signal processing experts, and customer stakeholders to solve complex problems involving RF sensing, signal characterization, waveform analysis, spectrum awareness, and machine learning-enabled wireless systems. This role will focus on leading the design, development, prototyping, and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless, spectrum, cyber, and communications research.
Director of Machine Learning Virtualitics IncDirector of Machine LearningWashington, DCWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. Our team is actively refining agentic workflows, composable AI agents, and generative interfaces to replace static dashboards with dynamic, conversational intelligence.
Artificial Intelligence/Machine Learning (AI/ML) Engineer AnalyticaArtificial Intelligence/Machine Learning (AI/ML) EngineerBethesda, MDIn this role, you will provide high-level technical leadership, engineering expertise, and strategic vision to optimize, manage, and secure our enterprise hardware, software, and network ecosystems. Responsibilities include (but not limited to): Develop, train, evaluate, deploy, and monitor machine learning and AI models for mission and business use cases.
NewMachine Learning Engineer Applied Information SciencesMachine Learning EngineerAlexandria, VirginiaCore Knowledge & Skills: Optimizes complex SQL; applies advanced data modeling; leads robust ETL/ELT; uses big data technologies (e.g., Spark); enforces governance; implements ML/predictive solutions; manages scalable pipelines. Work & Complexity: Solves high-complexity integration and performance challenges; runs multiple projects; delivers custom analytics solutions and automation for scale.
NewCyber Machine Learning Engineer, Senior X2 QED NationalCyber Machine Learning Engineer, Senior X2Arlington, VAAs a Senior Cyber Machine Learning Engineer, you will leverage your expertise in cybersecurity and machine learning to develop innovative solutions that enable real-time threat detection and automated defense for federal, Department of Defense, and commercial clients. Your work will focus on building, training, and deploying production-ready models to identify advanced persistent threats, utilizing open-source tools, cloud resources, and continuous integration best practices.
Machine Learning Engineer, Detection and Tracking Helsing GmbHMachine Learning Engineer, Detection and TrackingWashington, DCThis is an applied ML role: you won''t be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Artificial Intelligence / Machine Learning Systems Engineer LV8D Solutions LLCArtificial Intelligence / Machine Learning Systems EngineerChantilly, VirginiaThe role of an Artificial Intelligence/Machine Learning Systems Engineer centers on delivering Systems Engineering & Technical Advisory (SETA) support to a U.S. Government (USG) Program Office advancing national security and intelligence capabilities through Research & Development (R&D) of evolutionary, revolutionary, and transformational AI/ML algorithms for space and ground systems. LV8D Solutions is seeking an Artificial Intelligence/Machine Learning Systems Engineer to provide technical and program services to the USG by helping the government evaluate and field advanced AI-enabled technologies that improve how space-derived intelligence is collected, processed, and delivered to mission operators and analysts.
Staff Machine Learning Engineer Primer.aiStaff Machine Learning EngineerWashington, DCHands-on depth with LLMs and agentic systems (prompt and context engineering, tool use, retrieval and RAG) and the broader ML toolkit such as PyTorch, plus experience defining evals to measure and improve quality. Design and build the distributed, agentic systems behind our products at company-wide scale: tool-using conversational agents, multi-turn context, retrieval-grounded reasoning, and the orchestration that ties them together.
NewMachine Learning Engineer - Fraud Detection PeopleNTech LLCMachine Learning Engineer - Fraud DetectionAlexandria, VAThe role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support. We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions.
Software/Machine Learning Engineer - Agentic AI Systems - R139 Expedition TechnologySoftware/Machine Learning Engineer - Agentic AI Systems - R139Herndon, VirginiaExpedition Technology (EXP) is seeking a Software / Machine Learning Engineer who enjoys building intelligent systems that combine machine learning, automation, and modern software engineering. This role focuses on building next-generation AI-enabled systems that orchestrate machine learning models, gather and analyze information from multiple sources, and deliver actionable results to users in mission environments.
Senior Lead Machine Learning Engineer Capital OneSenior Lead Machine Learning EngineerMcLean, VirginiaAbout the team: Within Card Tech, the Customer Intelligent Decisions & Experiences (CIDX) team is building the next generation of large-scale, Reinforcement Learning-based recommender systems that will power personalized experiences across marketing, customer servicing, and digital products for millions of Card and MainStreet customers. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.