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- Tasks: Lead the development of AI systems and build a top-notch engineering team.
- Company: Join a pioneering tech startup focused on AI and data science innovation.
- Benefits: Enjoy competitive salary, flexible working options, and a chance to shape company culture.
- Why this job: Be at the forefront of AI technology and make a real impact in a growing field.
- Qualifications: 7+ years in data science or software engineering with strong Python and cloud skills required.
- Other info: Opportunity to work closely with co-founders and influence the company's technical direction.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for an experienced and entrepreneurial engineer to join as one of our first hires. This is a hands-on leadership role that combines deep data science and AI expertise, robust backend/data infrastructure development, and the opportunity to shape the technical DNA of our company.
You’ll lead the buildout of our AI systems and platform, shape our MLOps strategy, and ultimately grow and lead a world-class engineering team.
What You’ll Do:- Build core data infrastructure, pipelines, and ML systems from scratch using Python (70+%), GCP, AWS, and Kubernetes.
- Research & deploy advanced AI/ML models tailored to real-world use cases.
- Own the full MLOps lifecycle: model development, deployment, monitoring, and iteration.
- Recruit & lead a high-performance team of engineers and data scientists.
- Collaborate closely with the co-founders and advisors to align tech execution with business goals.
- Help define technical culture, standards, and processes as a founding team member.
- 7+ years of hands-on experience in data science, software engineering, or MLOps.
- Proven ability to ship production-grade AI/ML systems.
- Deep expertise in Python, plus strong experience with data engineering, cloud infrastructure (GCP/AWS), and container orchestration (Kubernetes).
- Past experience in early-stage, high-growth tech companies—ideally in Defence Tech, AI infrastructure, or enterprise SaaS.
- Comfortable operating in high-ambiguity environments and making architecture decisions.
- Based in, or willing to relocate to, London or Europe.
Head of Artificial Intelligence employer: Global M
Contact Detail:
Global M Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Artificial Intelligence
✨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 mentors who can provide insights into our company culture and the role.
✨Tip Number 2
Showcase your hands-on experience by discussing specific projects where you've built AI systems or led teams. Be prepared to share challenges you faced and how you overcame them, as this demonstrates your problem-solving skills and leadership capabilities.
✨Tip Number 3
Familiarise yourself with our tech stack, particularly Python, GCP, AWS, and Kubernetes. Consider building a small project or contributing to open-source initiatives that utilise these technologies to demonstrate your expertise and passion for the role.
✨Tip Number 4
Prepare to discuss your vision for MLOps and how it aligns with our business goals. Think about innovative strategies you could implement to enhance our AI systems and how you would lead a team to achieve these objectives.
We think you need these skills to ace Head of Artificial Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, software engineering, and MLOps. Focus on specific projects where you've built AI systems or led teams, especially in high-growth tech environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's goals. Mention your experience with Python, GCP, AWS, and Kubernetes, and how you can contribute to shaping the technical DNA of the company.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your expertise in building AI/ML systems. Highlight any advanced models you've deployed and the impact they had on previous companies.
Prepare for Technical Questions: Anticipate technical questions related to MLOps, data infrastructure, and AI model deployment. Be ready to discuss your decision-making process in high-ambiguity environments and how you've led teams in past roles.
How to prepare for a job interview at Global M
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Python, GCP, AWS, and Kubernetes. Highlight specific projects where you've built data infrastructure or deployed AI/ML models, as this will demonstrate your capability to lead the technical aspects of the role.
✨Demonstrate Leadership Skills
Since this is a leadership position, share examples of how you've successfully led teams in the past. Discuss your approach to recruiting and mentoring engineers and data scientists, and how you foster a high-performance culture within your team.
✨Align with Business Goals
Understand the company's mission and be ready to explain how your technical decisions can align with their business objectives. This shows that you can think strategically and are not just focused on the technical side of things.
✨Prepare for Ambiguity
Given the high-ambiguity environment mentioned in the job description, be ready to discuss how you've navigated uncertain situations in previous roles. Share your thought process when making architecture decisions and how you adapt to changing circumstances.
