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For Companies At a Glance
- Tasks: Lead the AI team and implement Generative AI solutions.
- Company: Join a dynamic scale-up focused on innovative AI products.
- Benefits: Enjoy a competitive salary, equity options, and flexible working days.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in leading Data Science teams and deploying LLMs/Gen AI.
- Other info: Work in a collaborative environment with product teams.
The predicted salary is between 130000 - 150000 £ per year.
Role: Head of AI
Location: London - 2-3 days per week
Salary: £130,000 - £140,000 + Equity
Requirements:
- LLM/Gen AI Experience
- A background leading a Data Science & AI function
- Track record or demonstrable experience of putting Gen AI / LLMs into production
- Technically strong across Data Science techniques and Machine Learning techniques
- Strong background within developing individuals
- Stakeholder management and the ability to work across the company
- Experience working with Product teams effectively
- Python / SQL etc
If this Head of AI position is of interest to you, we need to see the above qualifications. Apply now for immediate consideration.
Head of AI employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI
✨Tip Number 1
Network with professionals in the AI and Data Science fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully led a team or project. Be prepared to share specific examples of how you developed individuals and managed stakeholder relationships.
✨Tip Number 3
Stay updated on the latest trends and advancements in Generative AI and Large Language Models. Being knowledgeable about recent developments will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your technical expertise in Python, SQL, and other relevant tools. Be ready to explain how you've applied these skills in previous roles, particularly in deploying AI solutions.
We think you need these skills to ace Head of AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading Data Science and AI functions. Emphasise any specific projects where you've implemented Generative AI or Large Language Models, showcasing your technical skills in Python and SQL.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Head of AI. Discuss your leadership capabilities and how you can impact the organisation beyond just LLMs and Gen AI. Use specific examples to illustrate your experience with stakeholder management and collaboration with product teams.
Showcase Your Technical Skills: Include a section in your application that details your technical expertise in Data Science techniques and Machine Learning. This could be a brief summary or a dedicated skills section that aligns with the job requirements.
Highlight Your Leadership Experience: Since the role requires strong leadership capabilities, make sure to include examples of how you've developed individuals within your team. Mention any mentoring or coaching experiences that demonstrate your ability to lead effectively.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Leadership Skills
As a Head of AI, you'll need to demonstrate strong leadership capabilities. Be prepared to discuss your experience in leading Data Science teams and how you've developed individuals in your previous roles.
✨Highlight Your Technical Expertise
Make sure to emphasise your technical skills, particularly in LLMs and Generative AI. Be ready to provide examples of how you've successfully put these technologies into production and the impact they had on the organisation.
✨Demonstrate Stakeholder Management
Effective stakeholder management is crucial for this role. Prepare to discuss how you've collaborated with product teams and other departments to drive AI initiatives forward, showcasing your ability to work cross-functionally.
✨Prepare for Technical Questions
Expect to face technical questions related to Data Science techniques and Machine Learning. Brush up on your knowledge of Python, SQL, and other relevant tools, and be ready to discuss specific projects where you applied these skills.
