At a Glance
- Tasks: Lead AI strategy and scale machine learning across innovative portfolio companies.
- Company: High-growth investment group focused on AI-driven solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a team that values innovation and strategic thinking.
- Why this job: Shape the future of AI in impactful ways and collaborate with industry leaders.
- Qualifications: 10+ years in machine learning with experience in high-growth environments.
The predicted salary is between 150000 - 200000 € per year.
A high-growth investment group is looking for a senior machine learning leader to work across multiple AI-driven portfolio companies, helping scale machine learning capability from early experimentation into production-ready, commercially impactful systems. This role sits closely with founders, CTOs, product leaders, and investors, shaping how AI is embedded across products, platforms, and operational environments.
Responsibilities
- Define and guide machine learning strategy across multiple portfolio companies
- Help AI and engineering teams move ML initiatives from proof of concept into scalable production systems
- Align machine learning initiatives with product, commercial, and operational goals
- Advise on architecture across LLMs, agentic systems, MLOps, data pipelines, and model deployment environments
- Support leadership teams with AI roadmap prioritisation, delivery oversight, and capability planning
- Improve collaboration between product, data, and engineering functions
- Provide structured updates and strategic insight to senior stakeholders and investors
- Identify gaps across teams, tooling, and operating models to improve execution maturity
Qualifications
- 10+ years of experience across machine learning, AI, or data-driven environments
- Experience leading ML teams within production-scale businesses
- Strong understanding of LLMs, MLOps, AI platform architecture, and scalable ML systems
- Experience operating within high-growth SaaS, AI-native, TechBio, or data platform businesses
- Ability to connect technical AI initiatives to measurable business outcomes
- Comfortable influencing CTOs, founders, and executive stakeholders
- Strong commercial awareness alongside technical depth
- Experience scaling AI products, platforms, or machine learning capability within fast-moving organisations
Director of Artificial Intelligence in City of London employer: Experis
Join a dynamic and innovative investment group that champions the integration of AI across its portfolio companies. As a Director of Artificial Intelligence, you will thrive in a collaborative environment that values your expertise and encourages professional growth, while working closely with visionary leaders to drive impactful machine learning initiatives. With a focus on scaling capabilities and fostering a culture of experimentation, this role offers unique opportunities to shape the future of AI in a fast-paced, high-growth setting.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Artificial Intelligence in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend industry events, webinars, or meetups where you can chat with founders and CTOs. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you share insights on ML strategies, architecture, and successful projects. This not only demonstrates your knowledge but also positions you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by understanding the company’s AI initiatives. Research their portfolio companies and think about how you can help scale their ML capabilities. Tailor your discussions to align with their goals and challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can drive AI innovation. Your next big opportunity could be just a click away!
We think you need these skills to ace Director of Artificial Intelligence in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Director of Artificial Intelligence. Highlight your experience in machine learning and how you've scaled AI initiatives in previous roles. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can help us shape our machine learning strategy. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Leadership Skills:Since this role involves working closely with founders and CTOs, it's crucial to highlight your leadership experience. Share examples of how you've guided teams through the transition from proof of concept to production-ready systems. We love seeing strong leaders!
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 the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Experis
✨Know Your ML Strategy Inside Out
Before the interview, make sure you have a solid understanding of machine learning strategies and how they can be applied across different industries. Be ready to discuss specific examples of how you've successfully scaled ML initiatives in previous roles.
✨Align with Business Goals
It's crucial to demonstrate how your technical expertise aligns with commercial objectives. Prepare to share instances where your AI initiatives directly contributed to business outcomes, showing that you can bridge the gap between tech and business.
✨Showcase Your Leadership Skills
As a senior leader, you'll need to inspire and guide teams. Think of examples where you've led cross-functional teams or improved collaboration between departments. Highlight your ability to influence stakeholders and drive strategic initiatives.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions about LLMs, MLOps, and AI architecture. Brush up on your knowledge of these areas and be prepared to discuss how you've implemented them in production environments, as well as any challenges you've faced.
