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

Apply Now

Head of Data & AI Literacy

London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Full-stack Data Scientist

Senior Machine Learning Engineer

Food Technology Teacher / Instructor

IT Teacher

If you are a Head of Data & AI Literacy with excellent communication skills and the ability to liaise with senior stakeholders, we have an exciting contract that we would like to discuss with you.

Please note this role falls inside IR35 and will require onsite attendance once a week.

The ideal candidate will have a strong pedigree in Data & AI and its adoption at Enterprise scale with the ability to explain the capabilities of Data and AI to staff, emphasising their value across various use cases. Help them understand how these methods can address organisational needs.

As the Head of Data & AI Literacy, your role is pivotal in fostering a deep understanding of data and artificial intelligence across the organisation. Your mission extends beyond mere technological innovation; it encompasses empowering teams with the knowledge and skills needed to harness data effectively.

Your responsibilities include:

  1. Enabling AI Adoption:

    • You will accelerate the safe adoption of Artificial Intelligence (AI).

    • This involves enabling AI features within existing products (such as CoPilot within Microsoft Office tools) and developing Machine Learning and AI models.

  2. Understanding Evolving Needs:

    • As a business-facing role, you will work closely with staff across the organisation to understand their evolving needs.

    • Your goal is to find the right solutions and capabilities that align with these needs, collaborating across Data and Technology teams.

  3. Guidelines and Training:

    • You will lead the production of training materials and guidelines for safe and appropriate AI and data usage by staff.

    • Knowing when and how to use AI and data appropriately is crucial to ensure correct and informed decisions and actions.

  4. Strategic Roadmap:

    • Collaborating with the Chief Data & AI Officer, Head of Data Governance, and Head of Data Science, you will set a roadmap for transformation initiatives related to Artificial Intelligence and Data Improvement.

  5. Delivery and Implementation:

    • Working alongside the Senior Data Business Partner and Technology application teams, you will drive these AI and data capabilities.

    • Your role bridges the gap between strategy and execution, ensuring successful implementation

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.