Job Summary General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Machine Learning Engineer in Boulder, CO. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous systems that enable unmanned aerial syste

Position : Artificial Intelligence/Machine Learning Engineer Location : Denver CO 80202 (Onsite) Full Time Direct Hire Role Key Responsibilities: Solve complex problems using mechanistic and statistical approaches.Develop new methods to optimize supply chains.Enhance our logistics simulations and market optimization algorithms.Implement predictive models for commodity demand, supply availability, estimated arrival times, and potential delays.Solve complex problems using mechanistic and statisti

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role, you will design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes. You will collaborate with cross-functional teams to identify opportuniti

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You wil

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a h

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a h

Job role: Senior ML Platform Engineer (Serving Infrastructure) Location: Remote Duration: Long term Role Overview: We're looking for an experienced engineer to build our ML serving infrastructure. You'll create the platforms and systems that enable reliable, scalable model deployment and inference. This role focuses on the runtime infrastructure that powers our production ML capabilities. Key Responsibilities: Design and implement scalable model serving platforms for both batch and real-time in

Backend Software Engineer, ML W2 Contract Salary Range: $135,200 - $156,000 per year Location: Remote Role - PST Job Summary: As a Backend Software Engineer, you will work with the engineering team, EPM, and customers to support customer migration to next-generation services that generate, manage, and consume datasets, features, and embeddings used for ML training. You will utilize tooling to migrate data and work with customers to change their Python clients to start using the new SDK. Thi

RESPONSIBILITIES: Kforce has a client that is seeking a fully remote Machine Learning Engineer to join their team. Summary: This candidate will be primarily working on machine learning enablement, with the goal of helping them accelerate their machine learning projects/applications. In this role, you will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorF

Description Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey! Principal Machine Learning Engineer (MLE), Artificial I

Who are we? Photon has emerged as one of the world s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. For a brief 1 minute video about us, you can check Machine Learning Engineer (Infrastructure) Mountain View, CA Description: Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infras

Position: Machine Learning AI Engineer Duration: 12+ Months Location: Remote Must Haves Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.Strong project experience with Amazon Web Services and Cloudera Data Platform is must.4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive,4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.Strong experience with REST API deve

Machine Learning AI Engineer Remote as per time of PST Time Zone 12+ Months Must Haves- Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must. Strong project experience with Amazon Web Services and Cloudera Data Platform is must. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive, 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must. Strong experience with REST API d

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patien

Description Machine Learning Engineer (MLE), Artificial Intelligence Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey

AI/ML Engineer - Remote As an AI/ML Engineer, you will play a crucial role designing, building, and deploying machine learning models and AI-powered systems that help drive better decision-making across our platform. As a key strategic investment for the company and product, you will be working on highly impactful and visible outcomes similar to the AI Assistant we recently released. You will work closely with a multidisciplinary, agile team to identify key problems, design AI/ML solutions, pr

We re seeking a highly skilled AI/ML engineer with a Master s or Ph.D. in Computer Science or a related field (Ph.D. preferred). Remote is ok for this position. The ideal candidate has strong experience in deep learning (PyTorch/TensorFlow), computer vision (CNNs, Vision Transformers) and/or large language models (GPT, DeepSeek, etc.).Proficiency in Python, ML pipelines, and cloud platforms is essential. Familiarity with multi-agent systems or reinforcement learning is a plus.Experience deployin

Description Senior Machine Learning Engineer (MLE), Artificial Intelligence Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you re working with the best and are encouraged to learn and experiment every day, there s no better place guaranteed! <>What you will doIngest, structure, and analyze a wide range of unstructured data sources;De

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a stor