Software Engineer (Mobile) - London

present of AI; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Teton is seeking a Mobile Software Engineer to build health tech apps used by care workers in real time. You’ll focus on reliability, clear alerts, and simple workflows, with a strong eye for usability in busy settings.

Comfort with data privacy and connecting mobile tools to live monitoring systems is essential. You will work with AI and computer vision features to deliver timely signals on phones and tablets.

Qualifications

• Experience in iOS or Android development.
• Focus on usability in busy healthcare settings.
• Experience with API integration.
• Attention to data privacy and patient information.

Responsibilities

• Build and maintain mobile apps used by care workers in real time.
• Ensure reliability and clear alerts for users under pressure.
• Connect mobile tools to live monitoring systems.
• Design for trust and clarity in critical situations.

Skills

iOS development

Android development

Usability under pressure

API integration

Job description

A mobile software engineer in health technology typically builds and maintains apps that care workers use in real time, often with a focus on reliability, clear alerts, and simple workflows. A strong candidate brings solid experience in iOS or Android development, an eye for usability in busy settings, and care for data privacy. Since the company works on computer vision for patient and resident rooms, the engineer should be comfortable connecting mobile tools to live monitoring systems.

How it fits the AI era

AI changes mobile work by handling detection and risk alerts behind the scenes, so the app becomes a calm channel for what matters now. The engineer still decides how alerts are shown, how quickly they reach a care worker, and how to avoid noise that causes missed warnings. Human judgment stays central in designing trust and clarity for people under pressure.

How it builds AI experience

This role offers hands on exposure to AI and computer vision outputs through a mobile interface, including how model results become timely, useful signals. Building that experience means learning to consume AI events, test edge cases, and design for false positives or missing data. Over time, an engineer can grow into shaping how AI features are delivered safely on phones and tablets.

Worth showing

• iOS or Android development
• Usability under pressure
• API integration

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Teton

Per the company, Teton provides an AI and computer vision platform that monitors patient and resident rooms to detect activity and risk in real time.