NewMachine Operator I, CoPack Wild Leaf Holdings U.S. LLCMachine Operator I, CoPackBaltimore, MDWildPack has continued to expand its team and clientele base year-after-year and expects to continue its growth through training, developing, and opening opportunities to its team through career advancement. The Company recently went public on the Canadian Toronto Stock Exchange Venture, bringing massive opportunities to its employees for career progression and a variety of learning opportunities.
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.
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.
Staff 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 EngineerChantilly, 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.
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.
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 Booz Allen HamiltonMachine Learning EngineerArlington, Virginia$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.
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 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.
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.
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.
Senior 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.
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.
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.
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.