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# IOS Engineer

- **Company:** Nicoll Curtin
- **Location:** United Kingdom
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, IOS Applications, Apple IOS, App Store (IOS), Software Code Optimization, System Configuration, Memory Management, Mobile Application Software, NoSQL, Tensorflow, SQL Databases, Systems Integration, Swiftui, On-device Inference, Concurrency, Ios Frameworks, Backend, Low Latency, Api Design
- **Published:** November 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ios-engineer/54849168

## About the Role

Ideal Experiences 3+ years of iOS development experience using Swift.
Hands-on experience integrating AI-powered features into mobile apps.
Strong understanding of async/await, concurrency, and background tasks.
Solid iOS performance and memory optimization skills.
Experience shipping and maintaining production iOS apps.
Comfort designing for latency, partial failure, and non-deterministic AI behavior.
Exposure to CoreML or light on-device ML.
Familiarity with feature flags or remote configuration systems.
Strong intuition for AI UX patterns and user trust considerations.

Outcomes Stable, smooth, and reliable real-world use iOS applications.
Performance is optimized: responsive, low-latency, and efficient on memory and CPU.
Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.

Tech Stack Swift
SPM
SwiftUI
SQL / noSQL
TensorFlow Lite (on-device inference)

## Description

As an iOS Software Engineer, you own the iOS client experience, how AI feels, responds, and performs in users' hands. This is not a thin integration role. You will build a production-grade iOS application where AI interactions are central to product experience, and performance, reliability, and user trust are critical.
Focus Build and maintain iOS applications using Swift and SwiftUI.
Integrate AI-powered features through backend APIs.
Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks.
Optimize performance, memory usage, and battery efficiency.
Capture user signals and feedback to support AI evaluation and iteration.
Collaborate closely with backend and ML engineers on API design and system behavior.
Maintain high App Store quality, stability, and production reliability.