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 impactful technology.
- Why this job: Shape the future of AI while collaborating with industry leaders and innovators.
- Qualifications: 10+ years in machine learning with experience in high-growth environments.
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 in Slough 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 in Slough
✨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. Remember, personal connections can often lead to job opportunities that aren't even advertised!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you share insights on machine learning strategies, successful projects, or case studies. 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 machine learning 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 initiatives forward. Make sure your application stands out by highlighting your experience in scaling ML systems and connecting them to business outcomes.
We think you need these skills to ace Director of Artificial Intelligence in Slough
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 capabilities 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 experience can help us shape machine learning strategies across our portfolio companies. Keep it engaging and relevant!
Showcase Your Achievements:When detailing your experience, focus on specific achievements that demonstrate your ability to lead ML teams and drive impactful results. Numbers and outcomes speak volumes, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity with us at StudySmarter!
How to prepare for a job interview at Experis
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI. Understand the specifics of LLMs, MLOps, and scalable ML systems. Being able to discuss these topics confidently will show that you're not just a leader but also a hands-on expert.
✨Align with Business Goals
Prepare to discuss how your previous work has directly impacted business outcomes. Think about examples where you've aligned machine learning initiatives with commercial goals. This will demonstrate your ability to connect technical projects to real-world results.
✨Showcase Leadership Experience
Be ready to share your experiences leading ML teams and driving projects from concept to production. Highlight specific challenges you faced and how you overcame them, especially in high-growth environments. This will illustrate your capability to guide teams effectively.
✨Engage with Stakeholders
Think about how you've previously communicated complex AI concepts to non-technical stakeholders. Prepare examples of how you've influenced CTOs and founders, as well as how you’ve provided strategic insights to senior investors. This will showcase your ability to bridge the gap between tech and business.
