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Featured Jobs
Artificial Intelligence Engineer
Senior AI Engineer (Generative AI Consultancy) – Bristol (On-site, Up to 5 days per week) Healthcare • Generative AI • Research & Innovation £90,000 - £130,000 (DOE) opportunity to shape industry-defining work Are you an experienced AI professional ready to help define the future of healthcare? I’m supporting a rapidly scaling organisation that has just opened a brand-new Bristol office...
SR2 | Socially Responsible Recruitment | Certified B Corporation
Bristol
Artificial Intelligence Engineer
Founding Engineer – Agentic AI infrastructure for mobile – Paris/London £80-100k Are you an AI Engineer who loves building fast and turning ideas into working products? Have you taken something from a rough concept to a real system that people actually use? Do you get energy from tackling hard problems, learning quickly and working in a tight, mission driven team?...
MBN Solutions
London
Artificial Intelligence Engineer
AI Engineer/Data Scientist - DV Cleared - via Umbrella - 3-month contract - Belfast - SCC Flex Contract We are looking for an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who holds DV clearance. to join a major AI initiative. This project involves working closely with a leading technology partner, leveraging their platform and infrastructure to build advanced...
SCC
Belfast
Artificial Intelligence Engineer
Are you a passionate engineer who is looking to test their knowledge and skills within AI in a professional environment? Are you looking to deliver real world AI solutions across a range of product portfolios with global clients? You have the opportunity to join a business at the forefront of their industry as they match their market expansion with innovation,...
Be-IT
Glasgow
Artificial Intelligence Engineer
Job Title: Artificial Intelligence Engineer Start Date: Immediately vacant. Salary: Competitive based on experience Location: Silverstone Hours: Full time Reports to: Motorsports Director Role Type: Contract or Permanent The Revival of a Legend: Lola Cars, one of the world’s iconic motorsport brands, and the most successful manufacturer of customer racing cars of all time. Since 1958, Lola has been building...
Lola Cars
Northampton
Artificial Intelligence Engineer
OverviewIf you’ve ever wanted to join a startup just before it breaks out, this is that moment. Backed by elite investors, this company is already winning enterprise contracts with household name brands. Their product is redefining how global teams discover, understand, and act on information, making knowledge workflows faster, smarter, and more valuable.Why this role matters: As their Applied AI...
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.
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.
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.
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.
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.
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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