Machine Learning Engineer Capgemini Government Solutions LLCMachine Learning EngineerWashington, DCHowever, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Machine Learning (ML) Engineer with an active security clearance to deliver high-quality code components to power the services, servers, distributed systems, and backend architecture.
Senior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI Required LeidosSenior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI RequiredWoodbridge, VA$92,300–$166,850The analyst will work closely with Intelligence Community (IC) partners, geographic names experts, and multi-INT analysts to ensure imagery-derived assessments are geospatially precise, linguistically accurate, and operationally relevant. Bachelor’s degree and 12+ years of relevant experience, or Master’s degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field.
NewSenior Data Scientist JobotSenior Data ScientistArlington, VA$130,000–$170,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. This role will partner cross-functionally with business and technical teams to build scalable data solutions, translate complex insights, and help shape AI-driven strategy.
Lead Data Scientist Calibre SystemsLead Data ScientistAlexandria, VACALIBRE Systems inc, an employee-owned mission focused solutions and digital transformation company, is looking to hire a Lead Data Scientist to provide senior-level technical and management leadership in support of a federal civilian government agency. · Interface with senior government leaders, contracting representatives, program managers, technical teams, and other stakeholders to communicate progress, resolve issues, negotiate priorities, and support informed decision-making.
Quantum Engineer SME DCS CorporationQuantum Engineer SMESpringfield, VAPerform trade studies and conduct analyses to evaluate proposed quantum machine learning approaches, review technical reports, assess product-quality impacts, and characterize performance using quantum simulation or related technologies to support verification and quality assurance. The DCS Air and Space Technology Sector are seeking a qualified candidate to apply subject matter expertise in the areas of quantum engineering, analysis, and system design of complex programming projects supporting National Agencies.
Senior AI Developer NuAxis InnovationsSenior AI DeveloperWashington DC, DCThe Senior AI Developer serves as the lead technical resource responsible for designing, developing, integrating, and supporting enterprise Artificial Intelligence (AI) and Machine Learning (ML) solutions that enhance business applications, automate processes, and improve operational efficiency. This role collaborates with Product Owners, Federal Project Managers (FPMs), Business Analysts, Subject Matter Experts (SMEs), Solution Architects, developers, and stakeholders to deliver secure, scalable, and responsible AI solutions that align with business and mission objectives.
NewSenior GEOINT Data Scientist MANTECHSenior GEOINT Data ScientistSpringfield, VADemonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products.
Senior IT Data Engineer System OneSenior IT Data EngineerWashington, DCThe Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up.
Software Architect - Senior CredenceSoftware Architect - SeniorMcLean, VAUnlike a traditional software architect or software development role, this position is focused on technical strategy, enterprise advisory services, business process transformation, and identifying innovative technology solutions that improve mission outcomes. As the Senior Software Architect, you will serve as a trusted technical advisor responsible for helping government leadership identify, evaluate, and implement technologies that modernize business processes across the DLA enterprise.
NewData Management Analyst DCS CorporationData Management AnalystFort Belvoir, VAThis position supports a fast-paced program office with the collection, evaluation, analysis, reconciliation, validation, management, and identification of electronic data and records for a health-related program. DCS is seeking a Data Management Analyst to support an Army project management office at Fort Belvoir, Virginia.
NewManager, Economic Services - Data Science KPMGManager, Economic Services - Data ScienceWashington, DCThese include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Work with KPMG's extensive network of specialists & enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative solutions.
NewData Scientist System OneData ScientistMcLean, VAExperience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling. Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
NewSr Cloud Security Engineer PlanIT GroupSr Cloud Security EngineerFalls Church, VAExperience: 8+ years in a technical Cybersecurity Engineering role, with at least 4 years focused on large-scale cloud or hybrid environments, and a portfolio of projects where AI or Machine Learning was directly applied to solve security or operational scaling problems. • API-First Automation: Deep expertise in building "glue code" that connects disparate COTS and custom applications via secure, automated APIs to streamline cross-functional business activities.
NewAI/ML Solutions Architect System OneAI/ML Solutions ArchitectMcLean, VADesign and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight. Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
NewSenior Specialist, Federal Data Science KPMGSenior Specialist, Federal Data ScienceWashington, DCIf you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products.
NewApplication Architect System OneApplication ArchitectBethesda, MD$170,000–$190,000 / yearWhile the Senior Application Architect partners closely with cloud, operations, data, and cybersecurity teams, the primary accountability is for application architecture and application design decisions, including ownership of RESTful services and application integration strategy from concept through implementation and long-term evolution. The Senior Application Architect works closely with engineering teams, product owners, operations, and security to design and guide the implementation of modern, reliable, and well-integrated application solutions.
NewLead Specialist, Federal Data Science KPMGLead Specialist, Federal Data ScienceWashington, DCBuild / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
NewData Developer System OneData DeveloperFalls Church, VA$90,000–$100,000 / hourResponsibilities Support the delivery of client solutions using advanced analytics, exploratory data analysis, data wrangling, and ETL processes within a SAFe Agile environment. Derive insights from data and build robust data applications using analytics and coding tools (e.g., Python, R, Alteryx, SQL, SAS).
Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance NORC at the University of ChicagoResearch Scientist - Aging and Disability Economics, Evaluation, and Public Health SurveillanceWashington, D.C.$106,000–$130,000 / yearWorking knowledge of nationally representative longitudinal cohort studies relevant to aging, such as the Health and Retirement Study (HRS), the National Health and Aging Trends Study (NHATS), or the National Social Life, Health, and Aging Project (NSHAP), including their wave structure, imputation conventions, and Medicare linkages. Our team includes prominent health policy experts, nationally recognized public health researchers with general and specialized expertise in areas such as rural health and tribal issues, health communications, skilled methodologists, and leaders in the field of survey design and implementation.
NewSenior Data Architect System OneSenior Data ArchitectWashington, DCThe Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up.
NewDirector, AI Engineer KPMGDirector, AI EngineerWashington, DCDeep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices. Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
NewSenior Manager, Economic Services - Program Evaluation KPMGSenior Manager, Economic Services - Program EvaluationMcLean, VAThese include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Qualifications: Minimum eight years of experience in an audit, tax, and/or advisory firm, or professional services firm, coupled with experience with public sector agencies and corporations requiring analytical support in areas, such as program evaluation.
Data Security Engineer System OneData Security EngineerVienna, VAProvide technical guidance and collaboration with other Cyber Security Engineers supporting technologies within designated area of focus (Data Scanning). Establish and maintain supporting documentation (architecture/data flow diagrams, runbooks, ServiceNow tickets, user stories and tasks).
NewSenior Specialist, Federal Data Scientist KPMGSenior Specialist, Federal Data ScientistWashington, DCIf you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation.
GPU Software Engineer LeidosGPU Software EngineerArlington, VA$107,900–$195,050If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com . June 8, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Real-Time Software Engineer LeidosReal-Time Software EngineerArlington, VA$90,000–$180,000If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com . Projects involve small multi-disciplinary teams of engineers working together in spiral or agile development environments to meet aggressive customer schedules aimed at near-term field demonstrations.
Appian Software Developer/Integrator LeidosAppian Software Developer/IntegratorBethesda, MD$107,900–$195,050We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. Leidos is designing, developing, deploying, and operating a DoD-wide Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) workflow management platform for Open Source Intelligence (OSINT).
Machine Learning Engineer AeroVironment IncMachine Learning EngineerCentreville, VA$102,000–$144,375 / yearThese development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering.
Sr. Data Scientist / Machine Learning Engineer CACI International IncSr. Data Scientist / Machine Learning EngineerVA$105,100–$231,100 / yearWe are seeking a highly experienced subject matter expert to drive technical innovation, architect advanced data engineering solutions, and implement machine learning models that support our clients' LAN, WAN, and UC services. 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.
Associate Machine Learning Engineer - Secure AI Lab Carnegie Mellon UniversityAssociate Machine Learning Engineer - Secure AI LabArlington, VAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Machine Learning Engineer - Geospatial (TS/SCI) LaunchCode FoundationMachine Learning Engineer - Geospatial (TS/SCI)Springfield, VA$175,000–$250,000 / yearThis role will focus on fine-tuning Vision Language Models (VLMs) on domain-specific geospatial imagery, building scalable AWS training infrastructure, and developing evaluation frameworks for image understanding and spatial reasoning. Huge plus for candidates who have hands-on experience taking multimodal models such as CLIP, LLaVA, Qwen-VL, or similar Vision Language Models and fine-tuning them on classified or mission-specific imagery datasets.
Machine Learning Engineer - Computer Vision CaseGuardMachine Learning Engineer - Computer VisionArlington, VAExperience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm. Our team is driven by a passion for great software design, creating great products, and creative processes; CaseGuard implements innovative ideas across multiple services and agencies.
NewMachine Learning Engineer Somatus IncMachine Learning EngineerMcLean, VAAssist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance. Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
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–$190,000The 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.
Associate Machine Learning Engineer - Secure AI Lab Carnegie Mellon University Software Engineering InstituteAssociate Machine Learning Engineer - Secure AI LabArlington, VAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Machine Learning Engineer Virtualitics IncMachine Learning EngineerDCFounded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world's most complex, mission-critical challenges with AI. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.
Machine Learning Engineer Booz Allen Hamilton IncMachine Learning EngineerArlington, VA$77,600–$176,000 / yearYou'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.
Machine Learning Engineer II, CNN Digital Products and Services Warner Bros. Discovery IncMachine Learning Engineer II, CNN Digital Products and ServicesDC$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.
Staff Machine Learning Engineer Xometry IncStaff Machine Learning EngineerNorth Bethesda, MD$200,000–$220,000 / yearYou will be the data engineering lead for the digital thread that connects Xometry''s platform to our partner's ecosystem - Solid Edge, NX, Designcenter, and Teamcenter - building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time. Bachelor''s degree in a STEM field (or equivalent experience) plus 6-8 years of experience in machine learning engineering, with a track record of owning and delivering complex ML systems in production.
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.
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.
Machine learning Engineer & AI Platform Developer - 10+years of experirnce Two95 International Inc.Machine learning Engineer & AI Platform Developer - 10+years of experirnceHerndon, VARemote$100,000–$120,000Strong 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.
Machine Learning Engineer 10a LabsMachine Learning EngineerWashingtonRemoteBrings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration; Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion; Communicates technical concepts clearly to both technical and non-technical audiences; Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Machine Learning Engineer - Secure AI Lab Carnegie Mellon UniversityMachine Learning Engineer - Secure AI LabArlington, VAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
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 - 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.