At a Glance
- Tasks: Lead the UK AI strategy and build a top-notch AI team from scratch.
- Company: Join a forward-thinking company focused on AI innovation and excellence.
- Benefits: Attractive salary, generous bonuses, car allowance, and hybrid work options.
- Other info: Collaborative culture with opportunities for professional growth and influence.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Proven experience in AI leadership and team building, preferably in insurance.
The predicted salary is between 140000 - 150000 £ per year.
VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands-on, strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business.
Key Responsibilities
- Develop and execute the UK AI strategy, aligned with business and global priorities.
- Build and scale an AI team and Centre of Excellence, mentoring and growing talent.
- Lead the design, development, and deployment of machine learning models into production.
- Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption.
- Enable innovation through sandbox environments, tooling guidance, and accelerators.
- Influence and collaborate with senior stakeholders to translate AI into measurable business value.
- Drive data-centric AI initiatives, ensuring compliance and alignment with enterprise architecture.
- Collaborate with global AI teams to align strategy, frameworks, and best practices.
Key Requirements
- Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up.
- Proven experience building and scaling AI/ML teams (0–10 / 0–15).
- Insurance experience.
- Strong technical credibility in ML, AI, and enterprise platforms.
- Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn).
- Knowledge of Responsible AI, ethical frameworks, and compliance standards.
- Experience in insurance or regulated financial services preferred.
- Comfortable presenting to and influencing executives.
- Collaborative, adaptable, and able to navigate complex stakeholder environments.
To apply: Please reach out via LinkedIn to Noah Yeoman or apply via the VIQU website.
Head of AI & Data employer: VIQU IT Recruitment
VIQU is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Head of AI & Data role based in London. With a strong emphasis on employee growth, you will have the unique opportunity to build and lead a cutting-edge AI team while enjoying competitive compensation, including a substantial bonus and car allowance. The hybrid working model promotes work-life balance, making it an ideal environment for those seeking meaningful and rewarding employment in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI & Data
✨Tip Number 1
Network like a pro! Reach out to connections in the AI and data space, especially those who might know about opportunities at VIQU. A friendly chat can sometimes lead to a foot in the door.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience in building AI teams and deploying machine learning models. This will help you stand out during interviews.
✨Tip Number 3
Be ready to discuss strategy! Brush up on how you've aligned AI initiatives with business goals in the past. This is key for a leadership role like Head of AI & Data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at VIQU.
We think you need these skills to ace Head of AI & Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of AI & Data role. Highlight your experience in building and scaling AI teams, and don’t forget to mention any relevant insurance or financial services background. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this strategic leadership role. Share your vision for AI in our business and how you plan to build a Centre of Excellence. Let’s see your passion!
Showcase Your Technical Skills:We’re looking for someone with strong technical credibility in ML and AI. Make sure to highlight your hands-on experience with tools like Azure, Databricks, and TensorFlow. We want to know how you’ve used these technologies to drive results!
Apply Through Our Website:Don’t forget to apply through the VIQU website! It’s the best way for us to receive your application directly. Plus, if you know someone who might be a good fit, refer them and you could earn some cash if they get hired!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your hands-on experience with tools like Azure, Databricks, and TensorFlow. This role is all about technical credibility, so show them you know your stuff!
✨Showcase Your Leadership Skills
As a Head of AI & Data, you'll need to build and scale a team. Prepare examples of how you've successfully led teams in the past, especially in AI or data science. Highlight your mentoring experiences and how you've nurtured talent.
✨Understand the Business Impact
This role is about translating AI into measurable business value. Think of specific instances where your AI initiatives have driven results. Be ready to discuss how you can align AI strategy with business priorities and influence senior stakeholders.
✨Ethics Matter
With responsible AI being a key focus, be prepared to talk about ethical frameworks and compliance standards. Show that you understand the importance of governance in AI and how you plan to implement these standards in your future role.
