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.
NewComputer Vision Engineer JobotComputer Vision EngineerHerndon, VA$125,000–$160,000 / 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 is a permanent position in the autonomous systems industry where you will be instrumental in developing, implementing, and optimizing cutting-edge computer vision systems.
NewSr. Network Engineer JobotSr. Network EngineerGaithersburg, MD$110,000–$130,000 / yearWith deep expertise in cloud-first architectures, automation, DevSecOps, virtualization, reliability engineering, and large-scale systems integration, we help organizations modernize infrastructure, improve operational efficiency, and support mission-critical environments where performance, security, and resiliency are essential. The ideal candidate has approximately 10+ years of experience in network engineering, a strong understanding of enterprise networking technologies, and experience working with Cisco, Juniper, or similar networking platforms.
NewOperations Research Analyst LeidosOperations Research AnalystOdenton, MD$131,300–$237,350 / yearIf 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 . Our ideal candidate possesses a strong aptitude for quantitative analysis, critical thinking, and innovative problem-solving, combined with proficient communication skills to convey technical information effectively to stakeholders.
NewEntry-Level Java Developer (Spring Boot, Microservices) SynergisticITEntry-Level Java Developer (Spring Boot, Microservices)Arlington, VA$82,000–$136,000 / yearFull timeSince 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and hundreds more. They’re filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
Statistician III NORC at the University of ChicagoStatistician IIIWashington, D.C.$130,000–$140,000 / yearExperience in at least one of the following areas: demonstrated leadership in data visualization design, including expertise with tools such as R, Tableau, and Power BI for static and interactive visualizations; experience with data disclosure limitation and data privacy methods, including risk assessment and mitigation for public data releases; sampling, weighting, and variance estimation; and developing analytical pipelines and data workflows to support statistical analysis, data visualization, and AI/ML applications. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, statistical disclosure limitation, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC’s research.
NewAudio AI Engineer Dev Technology GroupAudio AI EngineerWashington, DC$80,000–$160,000 / yearAs a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy: Generous and flexible time-off policy. Documentation & communication: Produce clear model cards, dataset documentation, and evaluation write-ups that let technical and non-technical stakeholders understand what the model does, how it compares to alternatives, and what its risks and limitations are.
Quantum Engineer SME DCS CorpQuantum Engineer SMESpringfield, VirginiaPerform 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.
Virtual Construction - Reality Capture Manager HITT ContractingVirtual Construction - Reality Capture ManagerFalls Church, VA$100,000–$145,000 / yearLead a High-Performance Team: Mentor 3-5 Associates in laser scanning, data processing, and emerging workflows; provide training and technical support to broader project teams on reality capture technologies. HITT Contracting is seeking a Reality Capture Manager to join our Virtual Construction team and lead our enterprise-wide adoption of cutting-edge reality capture technologies that transform how we see, measure, and understand every project site.
IoT Engineer System OneIoT EngineerMerrifield, VARemote$80 / hourPartner with sensor specialists to manage new sensor data streaming to the IoT platform, and with data scientists and machine learning engineers to take on analytic results and develop it to an application with a user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc. Work with Industry solution providers, equipment manufacturers, and the Enterprise Resource Planning vendor to design and implement the required system integration points and data flow to achieve best-in-class lights-out operations.
NewAI Solutions Architect JobotAI Solutions ArchitectWashington, DC$200,000–$275,000 / yearFounded by cybersecurity and machine learning veterans, we've built a patented, unified platform that secures agentic, generative, and predictive AI applications — covering supply chain security, runtime defense, posture management, and automated red teaming. Built by cybersecurity and machine learning veterans, our patented technology helps organizations across the public and private sectors adopt AI with confidence — defending against prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Machine Learning Engineer III AerovironmentMachine Learning Engineer IIICentreville, VA$129,500–$197,500 / 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.
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.
NewStaff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff Machine Learning Engineer, Document & Vision IntelligenceBethesda, MD$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
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.
Machine Learning Engineer UnissantMachine Learning EngineerAshburn, VAFull timeThis role is well suited for a technically strong professional who enjoys building and improving models, partnering across Agile teams, and supporting the delivery of innovative capabilities from early concept through deployment and ongoing performance optimization. The ideal candidate will bring hands-on experience in machine learning, advanced analytics, and AI-driven product development, with the ability to turn complex data into practical, mission-focused solutions.
NewMachine Learning Engineer - Autonomy Heven AeroTechMachine Learning Engineer - AutonomySterling, VA$110,000–$165,000 / yearThis engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test. Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight-control functions.
NewMachine Learning Engineer, Autonomy Heven AeroTechMachine Learning Engineer, AutonomyWashingtonThis engineer works closely with other Machine Learning Engineers, Platform Engineers, Flight Test, and aircraft engineering teams to take autonomy capabilities from development through simulation, integration, ground test, and flight test. Integrate autonomy software with autopilots, companion computers, mission computers, sensors, payloads, data links, and GCS/C2 systems while maintaining clear interfaces with flight-control functions.
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.
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.