2 of 2 Systems Engineering Jobs in the City of London

to push the state of the art in the aerospace industry. This position is responsible for designing, building, and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal … will be headquartered at our Westminster, Colorado offices and is primarily an on-premises position. The Machine Learning Engineer will work closely with an engineering team composed primarily of aerospace and software engineers. The ideal candidate has a strong background in software development best practices, mathematics, and statistics, as … or future sponsorship. Responsibilities: Research and implement state-of-the-art machine learning algorithms and techniques Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities Perform data analysis, preprocessing, feature engineering, and model evaluation Optimize the performance, scalability, and More ❯

software development life cycle ( SDLC ) including requirements, implementation, testing, integration, and mission operations. Generate software architecture solutions for new project needs. Work with aerospace engineering staff to develop operational and performance requirements and ensure the final solution meets their needs. Document findings and communicate results to engineering and …/C++ . A solid grasp of programming concepts (e.g. big O notation, OOP, design patterns). Understanding of and experience with version control systems (e.g. Git) and best practices. An ability to solve complex problems creatively with minimal supervision. A desire to learn and understand, not just "turn … The ability to communicate with engineers and customers who have a different background and different expertise than you. Experience with Flight Software or embedded systems experience. Experience with AI/ML or autonomous systems . Familiarity with testing practices such as unit tests, fuzzing, TDD, etc. A focus More ❯