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Featured Jobs
Artificial Intelligence Engineer
Job Description 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 workAre 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
Job Description IntroductionThis business builds practical AI solutions that actually get used — not experiments that sit on a shelf. As a Senior AI Engineer, you’ll work end-to-end on real client challenges, shaping intelligent systems from early design through to live deployment.What You’ll Be Doing:Designing, building and deploying production-ready AI and data science solutionsTraining and shipping advanced machine learning, deep...
Addition
London
Artificial Intelligence Engineer
Job Description AI Developer / Agentic AI Developer – Python, LLMs, GCPA scale-up technology-led product business services organisation is expanding it's engineering capability with over £9 Million investment, and looking for an AI Developer / Agentic AI Developer to help design, build, and scale existing and new intelligent products for it's customers.This role offers the opportunity to work in a...
Lawrence Harvey
Leeds
Artificial Intelligence Engineer
Job Description AI Engineer – Global Wellness BrandLondon (Mansion House) – 3 days onsiteUp to £100k + 20% bonus + excellent benefitsTravel opportunities to Singapore, Sydney & moreA world-leading wellness company is growing its AI function and hiring an AI Engineer to help design and deliver intelligent, consumer-facing solutions that will shape the future of personalised wellbeing.About the RoleAs an...
Oliver Bernard
City of London
Artificial Intelligence Engineer
Job Description AI Prompt Engineer - 12 Month OutsideIR35 Contract - EdinburghOur main public sector client is looking for an AI Prompt Engineer to support the development of advanced document‑processing and data‑extraction solutions. This role focuses on designing effective prompts, improving accuracy across document types, and automating end‑to‑end workflows using AI and OCR technologies.Key ResponsibilitiesDesign, test, and optimise prompts for...
Lorien
Edinburgh
Artificial Intelligence Specialist
Job Description Group AI & Business Intelligence LeadLocation: Swindon Salary: Up to £75,000 + Benefits A rapidly expanding, £170m+ international group operating across multiple countries is looking for a Group AI & Business Intelligence Lead. This newly shaped role sits at the heart of the organisation’s digital and analytics strategy and will take ownership of AI, machine learning and business...
The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia.
If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus.
This guide is written for AI job seekers in the UK. We’ll explore:
What neurodiversity means in an AI context
How ADHD, autism & dyslexia strengths match specific AI roles
Practical workplace adjustments you can ask for under UK law
How to talk about your neurodivergence during applications & interviews
By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.
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.
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