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- Tasks: Develop a cutting-edge Android app that transforms in-store shopping experiences.
- Company: Join a stealth-mode, VC-backed company revolutionising retail with behavioural AI.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of tech innovation and make a real impact in retail.
- Qualifications: Expertise in Android development and experience with machine learning integration.
- Other info: Collaborative team environment with a focus on creativity and problem-solving.
The predicted salary is between 43200 - 72000 £ per year.
We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our mission is to bring the intelligence of modern machine learning directly to the in-store experience, powering real-time, context-aware interactions in physical retail environments through beautifully engineered mobile experiences.
We are 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.
- Architect and drive the development of complex Android features, including robust real-time communication and bi-directional data flows.
- Take ownership of app performance, profiling and optimising for low latency, memory efficiency, and battery life in a resource-intensive environment.
- Integrate complex ML features into the UI/UX, bridging the gap between the Edge AI team’s models and the user interface.
- Experience with real-time protocols and data-heavy applications.
- Expert-level understanding of Android internals: concurrency, memory management, and the full lifecycle constraints.
- Proven track record of building resilient, offline-capable systems (familiarity with sync queues, local databases, and reactive flows).
- Ability to architect for complexity, handling asynchronous data streams and complex state management cleanly.
- Curiosity about behavioural data and context-aware design.
- Exposure to integrating machine learning features (e.g. ML Kit, or custom TFLite models) into a production app.
Senior Android Engineer (Remote) in London employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Android Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Android projects, especially those that highlight your experience with real-time communication and ML integration. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Android internals and data-heavy applications. Be ready to discuss how you've tackled performance issues and optimised apps in the past – we love hearing about real-world experiences!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our mission to revolutionise the retail experience.
We think you need these skills to ace Senior Android Engineer (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Android development and any relevant machine learning projects. We want to see how your skills align with our mission of enhancing the in-store shopping experience!
Showcase Your Projects: Include links to apps you've developed or contributed to, especially those that demonstrate your ability to handle real-time data and complex features. This gives us a glimpse into your coding style and problem-solving skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how you can contribute to our team. Share your passion for behavioural AI and how it can transform retail experiences – we love to see enthusiasm!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at algo1
✨Know Your Tech Inside Out
Make sure you brush up on your Android internals, especially concurrency and memory management. Be ready to discuss how you've tackled complex features in past projects, particularly those involving real-time communication and data-heavy applications.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've optimised app performance in resource-intensive environments. Highlight your experience with offline-capable systems and how you've managed asynchronous data streams effectively.
✨Connect the Dots with ML Integration
Since the role involves integrating machine learning features, be prepared to talk about your experience with ML Kit or custom TFLite models. Discuss how you've bridged the gap between AI models and user interfaces in previous projects.
✨Demonstrate Your Curiosity
Express your interest in behavioural data and context-aware design during the interview. Share any personal projects or research that showcase your curiosity and how it relates to enhancing user experiences in mobile apps.
