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Featured Jobs

Artificial Intelligence Engineer

Job Description As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day. You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom...

eTeam
Liverpool

Artificial Intelligence Consultant

AI Architect Snowflake Cortex / Salesforce Agentforce / Copilot / Greenfield Environment Salary: +/- £110,000 + 15% Bonus Location: Milton Keynes / London – Monthly travel Reporting to: Chief Data Officer (CDO) This is an opportunity to join a cloud-native insurance organisation that is in the midst of a major digital transformation. As the AI Architect, you will shape a...

TRIA
Milton Keynes

Artificial Intelligence Engineer

Applied AI Engineer: Up to 200k Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Company. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling. What...

Xcede
City of London

Artificial Intelligence Engineer

Applied AI Engineer: Up to 200k Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Company. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling. What...

Xcede
London

Artificial Intelligence Engineer

Job Description As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day. You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom...

eTeam
Birmingham

Artificial Intelligence Engineer

Job Description As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day. You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom...

eTeam
Sheffield
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Career Advice

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

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

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.

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.

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