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Featured Jobs
Artificial Intelligence Engineer
AI Software Engineer Hybrid role in Soho£80-120k depending on experience We’re on a mission to reinvent how AI understands people — not through CVs or data points, but through story, reasoning, and curiosity. We’re building systems that listen, interpret, and understand why people say what they say. The goal? Create AI that perceives human potential, not just human input. If...
Digital Waffle
City of London
Artificial Intelligence Engineer
AI Engineer London Hybrid, 2 days a week OB have partnered with a pioneering AI research company in London that are pushing the boundaries of applied machine learning. They're seeking a skilled AI Engineer to help drive the next wave of intelligent system development, from rapid research prototypes to production-grade features. The Role Develop and experiment with advanced techniques in...
Artificial Intelligence Safety & Compliance Engineer £75-95K This is a new and exclusive opportunity for an Artificial Intelligence Safety & Compliance Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence. This role allows you to take the lead on AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) and...
Huxley Associates
City of London
Artificial Intelligence Co-Founder / Head of Sales (100 % remote) (m/f/d)
Artificial Intelligence Co-Founder / Head of Sales (100 % remote) (m/f/d)We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs who support outlier personalities and serial entrepreneurs to build €1B+ companies.Our offer:A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up...
EWOR
Oxford
Artificial Intelligence Educator
AI 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 key...
QA Ltd
Birmingham
Artificial Intelligence Engineer
Senior AI Engineer, Healthcare (Agentic AI), Remote or Hybrid, €80k to €100k plus 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 cut admin time and let doctors focus...
MBN Solutions
united kingdom of great britain and northern ireland, uk
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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