526 to 528 of 528 Permanent Android Jobs

learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences. Role: We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team … of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and implement Android features that include: Real-time & bi-directional communication On-device inference using Edge optimised frameworks Offline-aware & offline-first UX flows using prefetching, caching, and background sync Profile, optimise, and tune the app … Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast-paced, zero-legacy, product-driven environments Curiosity about More ❯

learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences. Role: We're looking for an experienced Android Engineer to help with the development of a cutting-edge consumer facing app designed to change the physical in-store shopping experience. You’ll collaborate closely with our team … of ML & backend engineers and product to deliver a mobile experience that feels fast, personalised, and deeply responsive to user context. Responsibilities: Architect and implement Android features that include: Real-time & bi-directional communication On-device inference using Edge optimised frameworks Offline-aware & offline-first UX flows using prefetching, caching, and background sync Profile, optimise, and tune the app … Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast-paced, zero-legacy, product-driven environments Curiosity about More ❯

based Graphics Research Team, you will play a key role in developing high-performance graphics solutions for mobile devices. You will integrate solutions with new hardware platforms optimise the Android OS graphics stack, benchmark systems against competitors to ensure the best possible graphics on the market. This is a fantastic opportunity to shape... More ❯