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Featured Jobs

Artificial Intelligence Engineer

🚀 Senior Agentic AI Engineer 🚀 Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly...

Omnis Partners
Bristol

Artificial Intelligence Engineer

Senior AI Engineer – Healthcare (Agentic AI) – Remote/Hybrid – £80–100k + equity Are you an experienced AI Engineer with a track record of shipping production code in startups? Do you want to work on AI that directly improves how healthcare is delivered? Imagine clinics and hospitals running on AI agents that reduce admin burden and let doctors focus on...

MBN Solutions
Liverpool

Artificial Intelligence Engineer

🚀 AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote / Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure....

develop
City of London

Artificial Intelligence Engineer

Senior AI Engineer – Healthcare (Agentic AI) – Remote/Hybrid – £80–100k + equity Are you an experienced AI Engineer with a track record of shipping production code in startups? Do you want to work on AI that directly improves how healthcare is delivered? Imagine clinics and hospitals running on AI agents that reduce admin burden and let doctors focus on...

MBN Solutions
Manchester

Artificial Intelligence Engineer

Senior AI Engineer – Healthcare (Agentic AI) – Remote/Hybrid – £80–100k + equity Are you an experienced AI Engineer with a track record of shipping production code in startups? Do you want to work on AI that directly improves how healthcare is delivered? Imagine clinics and hospitals running on AI agents that reduce admin burden and let doctors focus on...

MBN Solutions
Bristol

Artificial Intelligence Engineer

Senior AI Engineer – Healthcare (Agentic AI) – Remote/Hybrid – £80–100k + equity Are you an experienced AI Engineer with a track record of shipping production code in startups? Do you want to work on AI that directly improves how healthcare is delivered? Imagine clinics and hospitals running on AI agents that reduce admin burden and let doctors focus on...

MBN Solutions
Leeds
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Career Advice

Advance your AI career with expert advice, practical job search tips, and insightful industry guides.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

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