Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head Of Data Architecture, NGO

Austin Fraser
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Head of Data Science (34932) -

Head of Data Science

VP of Machine Learning

VP of Machine Learning

VP of Machine Learning

Global NGO with UK HQ are looking to hire aHead of Data Architectureto work closely with incumbent CIO to deliver Data lead strategy for the business. With multiple senior stakeholders, this is seen as a critical part of the NGOs future operating model. This is an opportunity to work within a highly collegiate environment, where perhaps there are not the same pressures found in the corporate world, as well as enabling this charitable venture to deliver the very best outcomes to those it helps.

You will have a strong appreciation of the whole data environment, including:

  1. Data Science
  2. Data Governance
  3. Data Engineering

In addition, proven experience with:

  1. Cloud based data solutions
  2. Full life cycle project experience

Knowledge of Microsoft Fabric will be useful.

Ultimately this is a great opportunity to make a real difference and for the right person could lead to the Chief Data Officer role. Fully remote or spend time in the London offices. Permanent.

For full details please submit your CV.

J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write an AI CV that Beats ATS (UK examples)

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

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.