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4 of 4 Android Engineer Jobs in Central London
City of London, London, United Kingdom Oliver Bernard
Android Engineer - £75K (1-day per week in London) An Android Engineer is required by an established company in the live entertainment industry who are building a brand new greenfield application which will be going live this year. About you: The ideal candidate is a self … motivated and ambitious Android Engineer who will be responsible for developing and maintaining a new mobile application in the entertainment sector Your primary focus will be on building the application and ensuring seamless integration with back-end services You should thrive in a fast-paced environment and work … a hybrid development team A strong commitment to collaborative problem-solving, thoughtful design, and the delivery of a high-quality product is essential Modern Android development with Kotlin and modern Android development toolkit Experience with coroutines and reactive programming using Kotlin Flow Good understanding of MVVM, ViewModel and More ❯
City of London, London, United Kingdom Oliver Bernard
Senior Android Engineer - £100K (FinTech/Challenger Bank) A leading digital bank, recognised for its innovation and culture, is currently seeking an experienced Senior Android Engineer to join its Mobile Platform team. This organisation has transformed from a pioneering fintech into a licensed bank, now widely … forward-thinking technology with a deep commitment to customer experience. As they continue scaling their mobile offerings, they are investing in strengthening their native Android capabilities to significantly enhance app performance and usability. The Opportunity This role sits within the Mobile Platform team, which is responsible for the technical … organisation. Currently built using React Native, the app increasingly incorporates native elements (Swift/Kotlin) to unlock better performance and user experience. The incoming Android + iOS Engineers will be instrumental in driving this evolution forward. Key Responsibilities Collaborate with the Engineering Manager and other Native Mobile Engineers within More ❯
City of London, London, United Kingdom algo1
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 … 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 … 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 More ❯
london (city of london), south east england, united kingdom algo1
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 … 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 … 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 More ❯
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