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- Tasks: Lead teams to develop AI-powered products and ML models for utility clients.
- Company: Leading technology company at the forefront of innovation.
- Benefits: Excellent salary of £150,000 and contributions to groundbreaking energy developments.
- Why this job: Make a significant impact in the energy industry with cutting-edge AI technologies.
- Qualifications: Extensive leadership experience and hands-on knowledge of deploying LLM systems.
- Other info: Join a dynamic team driving innovation in a rapidly evolving field.
The predicted salary is between 90000 - 210000 £ per year.
A leading technology company is seeking a Head of Engineering for Data, ML & AI Tools in London. You will lead high-impact teams to develop AI-powered products and ML models for utility clients.
The ideal candidate will have extensive leadership experience managing engineering teams and hands-on knowledge deploying LLM systems.
The role offers an excellent salary of £150,000 and contributions to innovative developments in the energy industry.
Head of AI & Data Engineering in London employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI & Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your projects and achievements in AI and data engineering. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership experience. We recommend practising common interview questions related to AI and ML, so you can confidently demonstrate your knowledge and experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Head of AI & Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of AI & Data Engineering role. Highlight your leadership experience and any hands-on work with LLM systems to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and data engineering, and how your background makes you the perfect fit for leading high-impact teams at StudySmarter.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've successfully led teams and developed innovative solutions in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the energy industry!
How to prepare for a job interview at Kraken
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and data engineering. Familiarise yourself with LLM systems and be ready to discuss your hands-on experience with them. This will show that you're not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led engineering teams in the past. Think about challenges you've faced and how you motivated your team to overcome them. This is your chance to demonstrate your leadership style and how it aligns with the company's goals.
✨Understand the Industry
Since this role focuses on utility clients, do some research on the energy industry and its current challenges. Be ready to discuss how AI can solve these issues and contribute to innovative developments. This will show your genuine interest in the sector.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI and data engineering. This not only shows your enthusiasm for the role but also helps you gauge if the company culture and direction align with your career aspirations.
