Position SummaryWe have an exciting opportunity available for an AI/ML Engineer to join us in the Technology Incubation Lab here at Samsung Research UK.The Technology Incubation Lab is dedicated to developing and validating cutting-edge solutions in health and accessibility, bridging the gap between early-stage research and the commercialization of Samsung products. The lab works on externally funded projects, collaborating with...
Join Samsung Research UK: Shape the Future of AI in Healthcare and Accessibility! Are you passionate about leveraging artificial intelligence to transform healthcare and improve accessibility? Samsung Research UK invites you to join our Technology Incubation Lab as an AI/ML Engineer! This is your chance to work on groundbreaking projects that bridge cutting-edge research with real-world applications, making a meaningful...
Samsung Electronics
Staines-upon-Thames
Artificial Intelligence Educator
Artificial Intelligence Educator (Corporate) (London, Manchester, Leeds, Birmingham, Slough) About the role: As an expert in your field, you will deliver QA and vendor specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a...
QA Ltd
Gloucester
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
AI Engineer – Global Wellness Brand London (Mansion House) – 3 days onsite Up to £100k + 20% bonus + excellent benefits Travel opportunities to Singapore, Sydney & more A 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...
Oliver Bernard
London
Artificial Intelligence Manager...
Job Description They're the architects of our vendor strategy, working seamlessly across functions to ensure we have the right alignments to the right vendors to support our technology proposition. It's an exciting time to be at Softcat, one of the UK's most successful technology solutions businesses. We help customers to use technology to succeed, by putting our employees first. We've...
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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