Frontend Developer

Burns Sheehan
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Energy Data Scientist

Senior Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior MLOps Engineer

Frontend Engineer – Join an AI driven business Up to£80,000 Hybrid working – 3 days onsite Tech Stack – React.js,TypeScript and Node.js We’re currently partnered with an excitingAI driven business who are currently looking for a Senior FrontendEngineer to join their growing business. The business has supportedhundreds of companies by helping them to transform theirperformance through human-led AI. They provide their customers withindustry-leading software and AI support across a variety ofsectors and they are now looking for an experienced FrontendEngineer who wants to join them to continue delivering theirword-class service to their customers. They are looking for aFrontend Engineer to work closely with their delivery teams whowork in conjunction with their data scientists to deliver solutionsto some of the most unique challenges their customers face. As anexperienced Frontend Engineer, you’ll be able to provide technicalexperience and drive best practice within the team. As a FrontendEngineer, you’ll be joining a team of Frontend Engineers to providetraining, mentoring and onboarding of future Frontend Engineers asthe team continues to grow. Alongside supporting the team, you’llalso be involved in setting up and deploying infrastructure for theFrontend team, working closely with Data Scientists and UXDesigners to build client facing products, be involved in the fullproduct life cycle and plan and build new frontend features. What’sin it for you: ♀️ ⭐ Up to £80,000 ⭐ Hybrid working – their officeis based in Dorset ⭐ Opportunity to work on some very excitingprojects which are driven by AI and Machine Learning ⭐ Join agrowing business where you’ll be instrumental in supporting themwith new projects and helping grow their tech team This is a greatopportunity to join a business who have been market leaders in AIand if you think this role is a great match for you and want tofind out more, reach me oncharlotteburnssheehan.co.uk

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.

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.

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.