Machine Learning Engineer CymertekMachine Learning EngineerReston, VirginiaData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect. Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.
NewSenior Software Engineer - Machine Learning / Data Science Staffed4USenior Software Engineer - Machine Learning / Data ScienceLaurel, MarylandThe ideal candidate will possess extensive experience in software engineering, machine learning, and data analytics within secure government environments. Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field plus 20 years of relevant experience.
Senior Data Scientist/Machine Learning Engineer - Ts/Sci With Poly (Req-242) CATHEXISSenior Data Scientist/Machine Learning Engineer - Ts/Sci With Poly (Req-242)Tysons, VA$150,000–$190,000 / yearThe Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
Machine Learning Engineer, Detection and Tracking HelsingMachine Learning Engineer, Detection and TrackingWashingtonThis 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.
Senior Data Scientist / AI Machine Learning Research Engineer CACISenior Data Scientist / AI Machine Learning Research EngineerSterling, Virginia$113,200–$237,800 / yearJob Title: Senior Data Scientist / AI Machine Learning Research EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * * The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Pay 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.
Machine Learning Engineer Booz Allen HamiltonMachine Learning EngineerArlington, VirginiaYou’ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Artificial Intelligence Machine Learning Engineer 2 Captivation SoftwareArtificial Intelligence Machine Learning Engineer 2Annapolis Junction, MD$130,000–$270,000 / yearCaptivation Software is looking for a mid level AI/ML engineer who will be responsible for designing, creating, testing, and productizing AI/ML algorithms to solve business challenges. D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.
AI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph Synertex LLCAI / Machine Learning Modeler / Engineer - 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. We are seeking a skilled AI / Machine Learning Modeler / Engineer to support critical government and intelligence programs by developing, deploying, and maintaining advanced machine learning models in production environments.
Machine Learning Engineer Role OpenDataJobsMachine Learning Engineer RoleWashington, DCSpecific openings may name Python, SQL, Java, model frameworks, distributed-processing tools, cloud ML services, container orchestration, graphics processing units, feature stores, model registries, experiment tracking, or infrastructure as code. Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data, behavior, performance, reliability, and cost.
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. 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.
Machine Learning Engineer II, CNN Digital Products and Services Warner Bros. Discovery IncMachine Learning Engineer II, CNN Digital Products and ServicesWashington, DC$112,000–$208,000 / yearYou will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.
Machine Learning Engineer & AI Platform Developer - 10+Years Of Experirnce Two95 International Inc.Machine Learning Engineer & AI Platform Developer - 10+Years Of ExperirnceHerndon, VARemoteStrong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerMcLean, MassachusettsIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Sr. Distinguished Machine Learning Engineer Capital OneSr. Distinguished Machine Learning EngineerMcLean, VirginiaYou’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.
AI / Machine Learning Engineer CyberMedia TechnologiesAI / Machine Learning EngineerMcLean, VAUnlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows. Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
Software/Machine Learning Engineer - R123 Expedition TechnologySoftware/Machine Learning Engineer - R123Herndon, VirginiaAs a member of our team, you will: work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks. We’re looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered.
Machine Learning Engineer - R126 Expedition TechnologyMachine Learning Engineer - R126Herndon, VirginiaIf you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you! The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables.
Cyber Machine Learning Engineer, Senior Booz Allen HamiltonCyber Machine Learning Engineer, SeniorArlington, Virginia$99,000–$225,000 / yearAs a Cyber Machine Learning Engineer at Booz Allen, you will have an opportunity to contribute to novel and impactful work using your machine learning and cybersecurity expertise to enable and automate near real-time detection and defense for Department of Defense, federal, and commercial clients. Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Staff Machine Learning Engineer - Generative AI XometryStaff Machine Learning Engineer - Generative AINorth Bethesda, MDThis is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. Xometry'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.
Machine Learning Engineer CACIMachine Learning EngineerChantilly, VirginiaKnowledge 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. Pay 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.