Front-End Developer

GK Recruitment
Southport
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Fixed-Term Contract

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Data Scientist (Healthcare) - Onsite UK Clients

Description

We are looking for a developer to join our small, welcoming team in a well-established business.

We're working on a brand-new data management SaaS product from the ground up, with a suite of features that sets a new benchmark and wows users. Join us in breaking ground on something that's built elegantly from the outset; no need to maintain legacy code!

Suitable for candidates who prefer a blend of home and office working, or 100% remote or office-based working.

 

RESPONSIBILITIES

* Leading in UI implementation within a small team of developers of a brand-new SaaS product using Vue JS.

* Working/producing wireframes and prototypes to design, share, and test designs.

* Developing the agreed designs and supporting their use in pre-production and production systems.

* Working with back-end developers to shape REST APIs and BFFs.

* Occasionally traveling and working with our clients throughout the UK.

 

QUALIFICATIONS

* Strong knowledge of HTML5, JavaScript frameworks, CSS and associated tooling.

* Minimum of 5 years' experience in front-end development and some involvement in UX.

 

ADVANTAGES

* Awareness of relational and No-SQL databases or data science for a better understanding of our new product.

* Familiarity with Python.

* Familiarity with or C# for a better understanding of our back-end technology.

* Experience of working with UK energy suppliers.

 

ATTRIBUTES

* Passion for great design.

* Experience of working within an agile team.

* Strong communication skills.

* Tenacity, dedication, and inclination to lead.

* The ability to challenge convention and innovate.

 

OTHER RESPONSIBILITIES

* Establishing and standardising operational processes within the business.

* Occasional mentoring of apprentices.

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.

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.