Agentic AI Machine Learning Architect - Senior Principal Slalom IncAgentic AI Machine Learning Architect - Senior PrincipalWashington, DC$215,000–$275,000 / yearDefine secure, scalable, cloud-native and hybrid reference architectures across AWS, Azure, and Google Cloud, including modern AI platform services such as Amazon Bedrock, Azure AI Foundry, Google Vertex AI, and enterprise data platforms. Experience defining agentic AI architecture patterns, including single-agent and multi-agent workflows, supervisor/worker patterns, state and memory management, workflow orchestration, human approval gates, and safe action execution.
Machine Learning Engineer - R126 Expedition TechnologyMachine Learning Engineer - R126Herndon, VirginiaOnsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. If 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!
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.
Senior Machine Learning Engineer, AI Evaluation SOCIETY FOR HUMAN RESOURCE MANAGEMENTSenior Machine Learning Engineer, AI EvaluationAlexandria, VA$100,000–$130,000 / yearThe Senior Machine Learning Engineer develops the systems that run multiple AI models against structured, domain-specific evaluations; builds scoring and evaluation frameworks; maintains reproducibility across model versions; and creates the data infrastructure necessary to analyze and track model performance over time. The position serves as a shared technical engineering resource across multiple Applied AI Research workstreams and helps ensure that published findings, benchmarks, and research conclusions are supported by reliable, auditable, and defensible measurement practices.
Cyber Machine Learning Engineer, Senior Booz Allen HamiltonCyber Machine Learning Engineer, SeniorArlington, VirginiaAs 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.
Sr. Lead Machine Learning Engineer (IC) Capital OneSr. Lead Machine Learning Engineer (IC)McLean, 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 (IC) 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.
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.
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.
Distinguished Machine Learning Engineer Capital One Financial CorpDistinguished Machine Learning EngineerMcLean, VA$269,100–$307,200 / yearYou'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. Overview: 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.
Engineer, Machine Learning Venture Global IncEngineer, Machine LearningArlington, VAThe Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production.
Senior Director, Machine Learning & AI (BPD) AstraZeneca PlcSenior Director, Machine Learning & AI (BPD)Gaithersburg, MDIn addition, the Director partners closely with Robotics & Automation, Informatics, Digital Transformation, Enterprise AI, and R&D IT teams to identify opportunities where ML & AI can enhance scientific, operational, and business outcomes and to integrate AI capabilities into products, platforms, and workflows across BPD (e.g. As the portfolio grows in scale and complexity, BPD is increasingly adopting a Predict‑First CMC approach: FAIR data at source, greater use of modelling and digital twins, and AI-enabled tools that help scientists find knowledge, make decisions and create regulatory content more efficiently.
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 Spear AIMachine Learning EngineerWashington, District of ColumbiaWe're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
Data Engineer – Classical Statistics & Machine Learning BLN24Data Engineer – Classical Statistics & Machine LearningMcLean, VAThis is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it’s available).The ideal candidate is equally comfortable writing production-grade ingestion andtransformation code as they are designing and validating a statistical or ML model. This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods — anomaly detection, statistical modeling, and machine learning — to support operational decision-making.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) Capital One Financial CorpLead Machine Learning Engineer (Finance Tech - AI Enablement)McLean, VA$197,300–$225,100 / yearIn 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. Lead, Machine Learning Engineer (Enterprise Platforms Technology) Capital OneSr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)McLean, VirginiaLead, Machine Learning Engineer (Enterprise Platforms Technology) 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. 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.
Artificial Intelligence Machine Learning Engineer 2 Captivation SoftwareArtificial Intelligence Machine Learning Engineer 2Annapolis JunctionCaptivation 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.
Artificial Intelligence / Machine Learning Research and Development Engineer Pennsylvania State UniversityArtificial Intelligence / Machine Learning Research and Development EngineerReston, VA$146,040–$318,840 / yearNotice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. We are seeking highly motivated Research and Development Engineers to join our Research Artificial Intelligence of the Applied Research Laboratory (ARL) at Penn State.
NewSenior Machine Learning Engineer Pantheon DataSenior Machine Learning EngineerReston, VARemote$140,000–$200,000 / yearFull timePosition OverviewPantheon Data is seeking a Senior Machine Learning Engineer to design, build, and operate production AI systems for federal clients - including hybrid retrieval-augmented generation (RAG) applications, Intelligent Document Processing (IDP) pipelines, and LLM-backed decision-support tools running in AWS GovCloud. Design and run evaluation programs for retrieval quality, extraction accuracy, answer groundedness, hallucination risk, and end-to-end system performance - including golden datasets, automated eval harnesses in CI, and regression testing across model and prompt versions.
DSCA AI/ML Engineer (Engineer Machine Learning) Senior - 29442 Huntington Ingalls Industries IncDSCA AI/ML Engineer (Engineer Machine Learning) Senior - 29442Arlington, VA$180,000–$200,000 / yearYou will leverage machine learning, generative AI, and Retrieval-Augmented Generation (RAG) techniques to enhance data transparency, accelerate case development timelines, enable intelligent automation, and support Executive Order 14268 goals for speed and accountability in security cooperation. In this high-impact role, you will design, develop, and operationalize advanced AI/ML solutions on AWS GovCloud to modernize the Foreign Military Sales (FMS) case lifecycle, including the Defense Security Assistance Management System (DSAMS) Case Development and Training Modules.