AI Engineer

Understanding Recruitment
M11Ad, M1 1AD, United Kingdom
3 days ago
£60,000 – £70,000 pa

Salary

£60,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
28 May 2026 (3 days ago)

Benefits

Excellent benefits

AI Engineer

Location: Remote - Occasional travel to UK office hubs
Salary: £60,000- £70,000 + excellent benefits


I'm working with a well known and established charity as they continue a major transformation across Digital, Data & Technology, with AI, automation and modern workplace technology at the centre of their long-term strategy.

They're looking to hire an AI Engineer to join a newly established AI function focused on shaping how AI is adopted across the organisation. This is an opportunity to join right at the beginning of the journey and help build the foundations, frameworks and guardrails that will define AI delivery across the charity for years to come.

The focus for the first 12 months will be heavily centred around Microsoft Copilot Studio, low-code AI development, governance, automation and integration across the Microsoft ecosystem.

The AI Engineer should have experience in:
* Strong experience with Microsoft Copilot Studio and the wider Microsoft stack
* Experience building AI agents, automations and integrations within Power Platform
* Experience with Azure technologies
* Understanding of AI governance, security, RBAC and AI guardrails
* Experience designing APIs, integrations and scalable AI workflows
* Strong stakeholder engagement and communication skills
* Exposure to Azure AI Foundry would be highly beneficial

This is a fantastic opportunity to join an organisation at the beginning of its AI journey, where you'll have real ownership, influence and the ability to shape how AI is delivered across a nationally recognised charity.

Related Jobs

View all jobs

AI Engineer

Opus Recruitment Solutions London, United Kingdom
£60,000 – £70,000 pa Remote

AI Engineer

Hays Technology Manchester, United Kingdom
On-site Clearance Required

AI Engineer

Understanding Recruitment E16Bd, E1 6BD, United Kingdom
£60,000 – £70,000 pa Hybrid

AI Engineer

Understanding Recruitment M11Ad, M1 1AD, United Kingdom
£60,000 – £70,000 pa Hybrid

AI Engineer

Boss Professional Services London, United Kingdom
£80,000 – £100,000 pa Permanent

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.