Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead machine learning strategy and scale AI initiatives 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 while collaborating with industry leaders.
- 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 - Data Consulting in City of London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director - Data Consulting 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 machine learning strategies 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 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 machine learning initiatives. Your next big opportunity could be just a click away!
We think you need these skills to ace Director - Data Consulting in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Director - Data Consulting. 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 tell us why you're passionate about AI and how you can help shape our machine learning strategy. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Your Leadership Skills: Since this role involves working closely with founders and CTOs, make sure 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 in action!
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 Machine Learning Stuff
Make sure you brush up on the latest trends and technologies in machine learning, especially around LLMs and MLOps. Be ready to discuss how you've successfully scaled ML initiatives in previous roles, as this will show your depth of experience.
✨Align with Business Goals
Understand how machine learning can drive business outcomes. Prepare examples of how you've aligned ML strategies with commercial objectives in the past. This will demonstrate your ability to connect technical initiatives to measurable results.
✨Showcase Leadership Skills
Since this role involves advising and collaborating with senior stakeholders, be prepared to share your experiences leading teams and influencing decision-makers. Highlight instances where you've improved collaboration between product, data, and engineering functions.
✨Prepare for Strategic Conversations
Expect to discuss how you would prioritise AI roadmaps and deliver oversight. Think about how you can provide structured updates to stakeholders and investors, and be ready to identify gaps in execution maturity that you could address.