Senior iOS Developer

Cure Talent
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Data Scientist

Senior Data Scientist

Senior Machine Learning Scientist

Senior Data Scientist

Senior Computer Vision Engineer

Cure Talent is delighted to partner with a rapidly growing medical technology company behind an award-winning, novel medical device and a transformative telehealth digital platform. We have an exciting opportunity for an experienced iOS Developer to join their talented software team (hybrid working).


As an iOS Developer, you will be responsible for developing and maintaining applications for a range of iOS devices. Your primary focus will be building iOS applications and integrating them with back-end services. You’ll work closely with other engineers and developers across various layers of the infrastructure, contributing to a highly collaborative team environment.


Responsibilities:


  • Design and build applications for the iOS platform using SwiftUI and UIKit.
  • Ensure the performance, quality, and responsiveness of applications.
  • Collaborate with cross-functional teams, including UI/UX designers and backend developers, to define, design, and ship new features.
  • Identify and resolve bottlenecks and bugs.
  • Maintain code quality, organisation, and automation.
  • Stay up to date with industry trends and best practices.


We’re looking for an experienced iOS Developer with strong expertise in Swift, UIKit, and SwiftUI, along with familiarity with iOS frameworks like ResearchKit, Core Data, and Core Animation. Experience with offline storage, threading, performance tuning, cloud message APIs, push notifications, and continuous integration workflows is highly desirable.


The ideal candidate will have:


  • A deep understanding of Apple’s design principles and UI/UX standards.
  • Proficiency with Git and version control tools.
  • Experience with performance and memory tuning tools.
  • Familiarity with Swift Package Manager (SPM) and Objective-C (nice to have).
  • A background in HealthTech, MedTech, or Machine Learning applications (preferred).
  • A degree or professional training/certifications in a related field is ideal.


This role offers an exciting opportunity to work in an innovative and growing HealthTech

company, making a tangible impact in the industry.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.