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: Collaborate with founders and CTOs in a fast-paced, high-growth setting.
- Why this job: Shape the future of AI in impactful, commercially successful systems.
- Qualifications: 10+ years in machine learning with leadership experience in production-scale businesses.
The predicted salary is between 120000 - 150000 € 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 employer: Experis
Join a dynamic and innovative investment group that champions the integration of AI across its portfolio companies. With a strong focus on collaboration and growth, we offer a vibrant work culture where your expertise in machine learning will directly influence product development and operational excellence. Our commitment to employee development ensures you will have ample opportunities to advance your career while working alongside visionary leaders in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Artificial Intelligence
✨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. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects and successes in machine learning. Share insights on platforms like LinkedIn or even write articles about your experiences. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to appear. Reach out directly to companies you admire, especially those in the AI-driven space. Express your interest and how you can add value to their teams. It’s all about making that first connection!
✨Tip Number 4
Utilise our website! We’ve got loads of resources and job listings tailored for roles like Director of Artificial Intelligence. Apply through us to get noticed and take advantage of our network. Let’s land that dream job together!
We think you need these skills to ace Director of Artificial Intelligence
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 scaling machine learning systems and working with AI-driven products. 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 your leadership can drive our machine learning strategy. We love seeing genuine enthusiasm and a clear vision for the future.
Showcase Your Achievements:When detailing your experience, focus on specific achievements that demonstrate your ability to lead ML initiatives from concept to production. Numbers and outcomes matter to us, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Experis
✨Know Your AI Stuff
Make sure you brush up on the latest trends in machine learning and AI. Be ready to discuss your experience with LLMs, MLOps, and scalable systems. The interviewers will want to see that you can connect technical initiatives to real business outcomes.
✨Showcase Your Leadership Skills
Prepare examples of how you've led ML teams and scaled AI products in previous roles. Highlight your ability to influence CTOs and founders, as well as your experience in aligning machine learning initiatives with commercial goals. This is key for a senior role!
✨Understand the Business Landscape
Familiarise yourself with the investment group's portfolio companies and their specific challenges. Being able to discuss how you can help them scale their machine learning capabilities will show that you're not just technically savvy but also commercially aware.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You'll need to provide structured updates and strategic insights to senior stakeholders, so being able to communicate effectively is crucial. Think about how you can make your points clear and impactful.
