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- Tasks: Lead AI initiatives and manage teams to drive tech and business vision.
- Company: Join a dynamic AI scale-up focused on innovative solutions.
- Benefits: Enjoy fully remote work and competitive daily rates.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 5+ years in AI tech, with strong leadership and Python skills required.
- Other info: This is an interim role, perfect for those seeking flexibility.
The predicted salary is between 78000 - 90000 £ per year.
AI scale-up is looking for a Head of AI on an interim basis. This Head of AI role will provide the organisational vision for AI adoption from a tech and business perspective. Candidates for this role must have experience leading AI teams for start-ups/scale-ups within the AI space. This role will be fully remote and Outside IR35.
Skillset:
- 5+ years of experience with various AI technologies; GenAI, ML, Deep Learning, or other
- Lead from the front - hands-on tech role
- Management / Lead experience (3+ years)
- Background in Python programming
- Define best AI/ML driven practices and AI lifecycle
- Build and deploy end-to-end ML models
If this role is of interest, please apply here or email your CV directly to us.
Head of AI / Chief Ai Officer employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI / Chief Ai Officer
✨Tip Number 1
Network with professionals in the AI field, especially those who have experience in start-ups and scale-ups. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in AI technology.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully led AI teams in previous roles. Be prepared to discuss specific projects where you defined best practices and drove AI adoption within an organisation.
✨Tip Number 3
Familiarise yourself with the latest advancements in AI technologies such as Generative AI, Machine Learning, and Deep Learning. Being able to speak knowledgeably about these topics will demonstrate your expertise and passion for the field.
✨Tip Number 4
Prepare to discuss your hands-on experience with Python programming and how you've built and deployed end-to-end ML models. Highlight any specific challenges you faced and how you overcame them to achieve successful outcomes.
We think you need these skills to ace Head of AI / Chief Ai Officer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI technologies, particularly in GenAI, ML, and Deep Learning. Emphasise your leadership roles and any hands-on tech experience to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your vision for AI adoption in a business context. Discuss your management experience and how you've successfully led AI teams in start-ups or scale-ups.
Showcase Relevant Projects: Include specific examples of projects where you built and deployed end-to-end ML models. Highlight your role in defining best practices and the AI lifecycle to demonstrate your expertise.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Ensure there are no grammatical errors and that your information is clear and concise, reflecting your professionalism.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Expertise
As a Head of AI, it's crucial to demonstrate your deep understanding of AI technologies like GenAI, ML, and Deep Learning. Be prepared to discuss specific projects where you've successfully implemented these technologies and the impact they had on the business.
✨Highlight Leadership Experience
Since this role requires management experience, share examples of how you've led AI teams in start-ups or scale-ups. Discuss your leadership style and how you motivate your team to achieve their goals while driving innovation.
✨Discuss Best Practices
Be ready to define best practices for AI/ML-driven projects and the AI lifecycle. This shows that you not only understand the technology but also how to implement it effectively within an organisation.
✨Prepare for Hands-On Questions
Expect questions that assess your hands-on technical skills, particularly in Python programming and building end-to-end ML models. Prepare to discuss your coding experience and any relevant projects that showcase your abilities.
