Chief Technology Officer / CTO

London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist — Healthcare Analytics & Growth

Data Scientist

Lead Data Scientist - Deep Learning Practitioner

Lead Data Scientist - Deep Learning Practitioner

Lead Data Scientist - Deep Learning Practitioner

Lead Data Scientist - Deep Learning Practitioner

Chief Technology Officer 

Are you an experienced technology leader passionate about driving innovation through AI and cutting-edge digital solutions? Join our forward-thinking client based in the North West as they embark on an exciting phase of growth and transformation.

As Chief Technology Officer (CTO), you'll have the opportunity to lead the technological strategy, focusing on harnessing the power of AI to develop innovative solutions that drive meaningful change for clients across various industries.

Responsibilities:

AI Strategy Leadership: Shape the company’s AI-driven technological roadmap, ensuring scalability, innovation, and industry leadership.

Tech Innovation: Lead the development and implementation of AI-powered solutions to solve complex challenges and enhance client offerings.

Infrastructure Management: Oversee the security, reliability, and performance of AI-enabled technologies and infrastructure.

Collaboration: Work cross-functionally to integrate AI capabilities across teams, driving innovation and creating seamless solutions that push the boundaries of what's possible.

What We’re Looking For:

Proven Leadership: Extensive experience in senior technology leadership roles, with a strong track record of implementing AI solutions.

AI Expertise: In-depth knowledge of AI, machine learning, and data science, with experience developing and deploying AI-based applications.

Tech Savvy: A strong background in digital platform development, software architecture, and cloud computing, focusing on integrating AI technologies.

Excellent Communicator: Strong leadership and communication skills to effectively collaborate with technical and non-technical teams.

Innovative Mindset: A passion for staying ahead of AI trends and using the latest advancements to drive business growth and client success.

Cultural Fit: A collaborative approach to leadership that fosters a culture of innovation, teamwork, and continuous improvement.

System and Software Integrations.

Knowledge of UX Principles.

What We Offer:

Competitive salary and benefits package

Flexible working arrangements, with the option to work entirely remotely

Opportunities for professional development and career progression

Interested? Please Click Apply Now!

Chief Technology Officer

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.