Job Title

Our client is a leading technology company developing groundbreaking laser communications systems and software-defined networking platforms for the aerospace industry. With technology acquired from Google, they’re at the forefront of innovation in satellite and airborne mesh networks, cislunar, and deep-space communications transforming how the world connects across land, sea, air, and space.The OpportunityWe’re looking for an experienced Machine Learning Engineer to join our client’s Spacetime team in the UK. This is a hybrid role combining ML research and development, where you’ll apply cutting-edge algorithms to solve complex temporospatial networking and resource management challenges.You’ll work in a highly collaborative, international environment — developing real-world AI applications that help shape the future of planetary-scale communication systems.Key ResponsibilitiesResearch and develop state-of-the-art machine learning algorithms for network orchestration problemsBuild and manage ML training infrastructure using Kubernetes clusters and modern MLOps toolingWrite clear documentation and reports for novel algorithms developed by the teamIntegrate AI models with the broader Spacetime platform to ensure seamless functionalityAct as a technical communication expert, interacting with customers and partners on ML-related technologiesRequired Skills & ExperienceMaster’s or PhD in Computer Science, Mathematics, Statistics, or a related ML disciplineProficiency in Python and at least one deep learning library (PyTorch, Tens