Job Description AI Partner | London (Hybrid) | £80,000 - £95,000 We’re working with a digital delivery business that connects organisations with high-quality near- and offshore development teams. As AI becomes core to modern software delivery, they’re hiring an AI Partner with a strong software engineering background to shape how AI capability is assessed, embedded, and scaled across their partner...
Peaple Talent
London
Artificial Intelligence Consultant
Job Description AI Partner | London (Hybrid) | £80,000 - £95,000 We’re working with a digital delivery business that connects organisations with high-quality near- and offshore development teams. As AI becomes core to modern software delivery, they’re hiring an AI Partner with a strong software engineering background to shape how AI capability is assessed, embedded, and scaled across their partner...
Peaple Talent
City of London
Artificial Intelligence Engineer
Job Description Founding Engineer – Full-Stack / AI / Early-Stage StartupLocation: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE)A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production.They are now...
SR2 | Socially Responsible Recruitment | Certified B Corporation
City of London
Artificial Intelligence Researcher
Job Description Job Title: AI ResearcherLocation: Cambridge or London, UKThis is a permanent position with candidates required to do hybrid working in either Cambridge or London.Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human...
microTECH Global LTD
City of London
Artificial Intelligence Consultant
Job Description AI Partner | Bristol (Hybrid) | £80,000 - £95,000 We’re working with a digital delivery business that connects organisations with high-quality near- and offshore development teams. As AI becomes core to modern software delivery, they’re hiring an AI Partner with a strong software engineering background to shape how AI capability is assessed, embedded, and scaled across their partner...
Peaple Talent
Bristol
Artificial Intelligence (AI) Knowledge Curator
Job Description The Greater Manchester (GM) AI, Data and Innovation Office (ADIO)1 Year FTCGM has two of the top-five AI ready cities in the UK[1]. We have an opportunity to improve public services and grow the tech economy in Greater Manchester by investing in the way we use AI. To support this ambition, GM has established the ADIO, which acts...
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.
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.
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.
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