At a Glance
- Tasks: Lead and build AI capabilities from the ground up in a global engineering firm.
- Company: Globally recognised engineering and infrastructure business with a focus on innovation.
- Benefits: Competitive salary, remote work options, and significant investment in AI development.
- Other info: Fast-paced environment with opportunities for autonomy and career growth.
- Why this job: Make a real impact by defining AI strategy and driving modern engineering practices.
- Qualifications: Strong software or data engineering background with leadership experience.
The predicted salary is between 140000 - 180000 € per year.
A globally recognised engineering and infrastructure business is hiring a Head of AI to build and lead its AI capability from the ground up. Operating across multiple continents and delivering complex, high-impact projects, the organisation is now investing heavily in AI, modern engineering practices, and governance as part of its next phase of transformation.
This is a senior, high-impact role sitting within the IT leadership team, with a clear mandate to define AI strategy, introduce governance, and scale a capability with significant long-term investment behind it.
What you'll do:
- Define and deliver the organisation's AI strategy and governance framework
- Build and scale a high-performing AI & engineering capability (incl. 3rd party teams)
- Embed security-by-design principles across AI and software development
- Bridge the gap between technical teams and business leadership
- Drive adoption of modern platforms, tools, and engineering standards
What I'm looking for:
- Strong software or data engineering background with a hands-on edge
- Experience operating in large, complex, or global environments
- Proven ability to lead teams and influence at senior/executive level
- Track record delivering AI or advanced data solutions in production
- Strong communicator, able to translate technical concepts into clear business value
- Experience with Azure, Python
This role suits someone who enjoys building from scratch, operating with autonomy, and delivering tangible impact in a fast-moving environment.
If this sounds of interest, please apply with your CV to find out more!
Head of AI in Manchester employer: LinkedIn
As a globally recognised engineering and infrastructure business, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge AI capabilities and modern engineering practices, providing you with the opportunity to lead transformative projects while working in a flexible environment from London or remotely across the UK. Join us to make a meaningful impact in a role that not only values your expertise but also supports your professional development in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your projects, especially those related to AI and data engineering. This gives potential employers a tangible sense of your skills and what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms. Remember, you’ll need to bridge the gap between technical teams and business leadership, so being able to articulate your ideas clearly is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Head of AI in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Head of AI role. Highlight your experience in AI strategy, governance, and any relevant projects you've led. We want to see how your background aligns with our needs!
Showcase Your Leadership Skills:Since this is a senior role, it's crucial to demonstrate your ability to lead teams and influence at the executive level. Share specific examples of how you've successfully managed teams or projects in complex environments.
Communicate Clearly:We love strong communicators! When writing your application, make sure to translate your technical expertise into clear business value. This will show us that you can bridge the gap between tech and leadership effectively.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at LinkedIn
✨Know Your AI Strategy Inside Out
Before the interview, make sure you thoroughly understand the company's current AI initiatives and how they align with their overall strategy. Be prepared to discuss how you would define and deliver an AI strategy that fits their needs.
✨Showcase Your Leadership Skills
As a Head of AI, you'll need to lead teams effectively. Prepare examples of how you've successfully led teams in the past, especially in complex environments. Highlight your ability to influence at senior levels and bridge gaps between technical and business teams.
✨Demonstrate Technical Proficiency
Brush up on your software and data engineering knowledge, particularly with Azure and Python. Be ready to discuss specific projects where you've implemented advanced data solutions and how you ensured security-by-design principles were embedded.
✨Communicate Clearly and Confidently
Practice translating complex technical concepts into clear business value. During the interview, focus on articulating how your technical expertise can drive adoption of modern platforms and tools, making sure to connect your answers back to the company's goals.