User Experience Writer

London
8 months ago
Applications closed

Related Jobs

View all jobs

Product Owner - Artificial Intelligence

Data Scientist

Data Science / Data Mining Specialist

Senior Data Scientist

Data Scientist

Senior Data Scientist

Job Description:

What You Bring

  • 8+ years of experience writing for digital products, mobile apps, web platforms, or SaaS tools.

  • Mastery of UX writing principles, with a clear POV on clarity, hierarchy, intent, and tone.

  • Experience working in cross-functional product teams using agile, iterative approaches.

  • Strong portfolio showcasing thoughtful UX content work, explaining context, decision-making, and impact.

  • Ability to balance creativity with precision, matching tone to task, adapting to constraints, and simplifying complexity.

  • Familiarity with Figma and working within design systems.

  • Knowledge of accessibility standards (WCAG), content design principles, and UX best practices.

  • Excellent storytelling, presentation, and collaboration skills.

    If you bring the following, you're a superstar in our eyes

  • Experience writing for native mobile platforms (iOS, Android)

  • Industry experience in Banking, fintech, or other domains with regulatory nuance.

  • Experience partnering with AI, LLM, or chat interface teams on content generation or governance.

  • Comfort conducting or analyzing content-specific usability testing.

    About Us:

    Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information

    With Ascendion, you:

    Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone you know. We have a referral policy in place

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.