City of London, London, United Kingdom Hybrid / WFH Options
Ventula Consulting Limited
Senior AndroidEngineer (UI/UX & Welcome Manager) Overview We are seeking an exceptional Senior AndroidEngineer to join a newly-founded joint venture backed by five of the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of … core products: the Telco-Verified Security Shield (our primary, pre-call fraud detection) and the Personal Welcome Manager (our premium, AI-powered call screening experience). As the Senior AndroidEngineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will be … glove with our dedicated UX/UI designer, engaging in rapid daily iteration to translate high-fidelity, interactive prototypes into pixel-perfect, production-ready code. ? Real-Time Data Streaming: Engineer the high-performance live transcript view, which displays the AI-screened conversation as the phone is ringing . This involves consuming real-time streaming text data from our backend More ❯
Senior AndroidEngineer (UI/UX & Welcome Manager) Overview We are seeking an exceptional Senior AndroidEngineer to join a newly-founded joint venture backed by five of the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of 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 AndroidEngineer 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 … 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 ❯
london (city of london), south east england, united kingdom
algo1
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 AndroidEngineer 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 … 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 ❯
We are looking for an experienced engineer to help us build the key device analysis capabilities across the Android ecosystem. This role focuses on deep, systems-level engineering to design and implement a cutting-edge security solution. Your primary responsibility will be to maximize the collection of high-entropy device signals while implementing a multi-layered defense against … OS-level compromise, all within the bounds of Google's policies. What You'll Do Take full ownership of implementing our device identification solution on the Android platform, including phones, tablets, Android TV, and Wear OS. Implement robust, multi-layered root detection techniques to identify and defend against OS-level compromise. Integrate with Google Play Services, particularly the … Play Integrity API, to assess device and application integrity verdicts. Be a part of a cross functional team - collaborating closely to ensure the Android implementation is secure, performant, and aligned with the team's overall strategy. Analyse the available data using tools like BigQuery to find patterns, analyse impact and improve our offering. Work across the stack using diverse More ❯
profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world … solving hard technical challenges quickly and creatively. Nice to Have Working knowledge of Python and/or model training frameworks like Pytorch or similar Working knowledge of JNI on Android and/or C/C++ Why Join Us You’ll be part of a small, high-output team where intensity and focus are the norm. You’ll take More ❯
london (city of london), south east england, united kingdom
algo1
profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world … solving hard technical challenges quickly and creatively. Nice to Have Working knowledge of Python and/or model training frameworks like Pytorch or similar Working knowledge of JNI on Android and/or C/C++ Why Join Us You’ll be part of a small, high-output team where intensity and focus are the norm. You’ll take More ❯