Senior iOS Developer

Cure Talent
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer (Game Engine)

Senior Product Manager, Analytics & Insights

Senior Security Architect

Senior Data Engineer

Senior Product Manager

Senior Backend Engineer - Data 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

🍪 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.