Head of Artificial Intelligence (AI)

Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

Teacher of Computer Science & Artificial Intelligence Lead

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Head of Data Science

Head of Data Science

Head of Machine Learning (Recommendations, AI Stylist & Search)

Head of Data Science

Head of Artificial Intelligence (AI)

Location: Manchester
Salary: Excellent Salary + Bonus + Car Allowance + Benefits

Shape the Future of AI

Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance

The Role

Own the company's AI strategy and identify high-value opportunities
Lead AI initiatives from vision through to production deployment
Build business cases that influence senior stakeholders
Empower teams to scale AI across the organisation
Maintain technology RADAR and manage AI governance and riskRequired Skills & Experience

Production experience with Generative AI, LLMs, NLP, and RAG systems
Strong knowledge of Knowledge Graphs and semantic technologies
Proficient in Python, SQL, PyTorch/TensorFlow
Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines.
Proven experience in AI/ML/ Data science leadership with measurable business impact.
Degree in Computer Science, Machine Learning, Data Science or related STEM fieldImagine leading AI innovation with genuine autonomy and working an entrepreneurial, world-class leadership team. You won't just advise or research you will execute production systems serving a prestigious international client base. Apply now for this exceptional opportunity to lead strategic decision making, technical delivery and market impact, backed by a market-leading international organisation offering an excellent compensation package.

INDAMS

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.