Head of Artificial Intelligence

Uniting Ambition
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Head of Artificial Intelligence

Head of Artificial Intelligence

Head of Artificial Intelligence

Lecturer / Senior Lecturer in Artificial Intelligence & Applications

Artificial Intelligence Co-Founder / Head of Sales (100 % remote) (m/f/d)

Artificial Intelligence Co-Founder / Head of Sales (100 % remote) (m/f/d)

An exciting opportunity to join a large-scale consultancy firm looking to amplify their Gen AI / Agentic efforts. This role is focused on setting the strategic direction, vision, and execution of AI initiatives along with providing guidance for their talented group of AI engineers.


About you:

The ideal candidate will have experience leading AI teams, setting the roadmap and delivering enterprise-level AI solutions at scale. You should have a solid grasp of modern AI tools and be capable of guiding your team through the complexities of implementing and optimising these technologies in real-world applications.


Key responsibilities:

  • Define and drive the overall AI strategy and vision for the company, aligning with business objectives and emerging AI trends.
  • Lead and mentor a growing team of AI engineers and technical experts, ensuring alignment with industry best practices.
  • Oversee the development and deployment of AI-driven solutions and applications for clients, ensuring robust technical execution and scalability.
  • Work closely with senior stakeholders, including product management and business leaders, to define AI-driven initiatives that drive business value.
  • Evaluate and integrate new AI technologies, tools, and frameworks into the company’s AI ecosystem.
  • Stay at the forefront of AI research and industry trends, ensuring the AI capabilities remain competitive and innovative.
  • Foster a collaborative environment across teams, facilitating knowledge-sharing and continuous learning.


What You Bring to the Table:


  • A degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. is a plus.
  • Proven experience (5+ years) in a leadership role within AI, Machine Learning, or Data Science, ideally within a consultancy, tech firm, or enterprise setting.
  • Strong technical understanding of modern AI tools and frameworks such as PyTorch, TensorFlow, large language models (LLMs) and other AI technologies.
  • Experience setting AI strategy and executing on large-scale AI projects, with a focus on delivering tangible business outcomes.
  • A track record of mentoring and leading cross-functional teams, with the ability to inspire, motivate, and support your team members.
  • Exceptional communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
  • A passion for AI and its potential to solve business challenges and transform industries.


If this sounds like you, please apply for more details.

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.