At a Glance
- Tasks: Lead the development of cutting-edge ML & AI systems that enhance customer experiences.
- Company: Join a high-growth digital business transforming the consumer platform landscape.
- Benefits: Competitive salary of £120k plus a 30% bonus and hybrid working model.
- Other info: Be part of a dynamic team with significant influence on business direction.
- Why this job: Shape the future of AI-driven products and make a real impact on customer engagement.
- Qualifications: Proven experience in machine learning leadership and strategic vision.
The predicted salary is between 120000 - 120000 € per year.
Location: London (Hybrid – 2 days per week in office)
Salary and Benefits: £120k + 30% Bonus
About the Role
We’re partnering with a high-growth, customer-centric digital business undergoing a significant period of transformation to find an experienced Head of Machine Learning & AI. This is a senior leadership opportunity focused on production-grade machine learning systems that directly shape customer experience and commercial performance across one of the UK’s leading consumer platforms. You’ll lead a team responsible for recommendation, ranking, search and personalisation systems embedded across customer journeys, while also shaping the next generation of AI-driven product experiences using LLMs and generative AI. Working as part of the wider PDT leadership team, you’ll influence roadmap prioritisation, guide investment decisions and act as the senior authority for Machine Learning & AI capability across the business.
Key Responsibilities
- Defining the ML & AI vision and strategy across the Cards business
- Leading production ML systems across recommendations, ranking, search and personalisation
- Driving measurable commercial outcomes including conversion, engagement and AOV
- Shaping customer-facing AI capabilities including LLM-powered and generative experiences
- Setting technical direction across modelling, evaluation and ML lifecycle management
- Partnering closely with Product, Engineering and MLOps teams
- Improving scalability, observability and speed-to-production across ML systems
Head of Machine Learning & AI in London employer: MRJ Recruitment
As a leading digital business in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our employees benefit from competitive salaries, substantial bonuses, and the opportunity to work on cutting-edge AI projects that directly impact customer experiences. With a strong focus on professional development and a hybrid working model, we empower our team members to thrive both personally and professionally in a transformative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning & AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a GitHub repository that highlights your projects in machine learning and AI. This is your chance to demonstrate your skills and make a lasting impression on hiring managers.
✨Tip Number 3
Prepare for those interviews! Research common questions for leadership roles in ML & AI, and practice articulating your vision and strategy. Be ready to discuss how you've driven measurable outcomes in previous roles.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, it shows you're genuinely interested in joining our team and being part of our exciting journey.
We think you need these skills to ace Head of Machine Learning & AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Machine Learning & AI role. Highlight your experience with production-grade ML systems and any leadership roles you've held. We want to see how your skills align with our vision!
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 drive measurable outcomes. We love seeing candidates who can connect their experience to our customer-centric approach.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics to demonstrate how your work has improved conversion rates or engagement. We’re all about results, so let us know how you’ve made an impact!
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 don’t miss out on any important updates. We can’t wait to see your application!
How to prepare for a job interview at MRJ Recruitment
✨Know Your ML & AI Stuff
Make sure you brush up on the latest trends and technologies in machine learning and AI. Be ready to discuss your experience with production-grade systems, especially around recommendations, ranking, and personalisation. This role is all about shaping customer experiences, so show them you know your stuff!
✨Showcase Leadership Skills
As a Head of Machine Learning & AI, you'll be leading a team. Prepare examples of how you've successfully led teams in the past, particularly in driving measurable outcomes. Highlight your ability to influence decisions and collaborate with cross-functional teams like Product and Engineering.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects of ML lifecycle management and modelling. Brush up on your knowledge of LLMs and generative AI, and be ready to discuss how you've improved scalability and speed-to-production in previous roles. They’ll want to see your technical prowess!
✨Align with Company Vision
Research the company’s vision and values, especially their focus on customer-centric digital transformation. Be prepared to articulate how your vision for ML & AI aligns with theirs and how you can contribute to their goals. This shows you're not just a fit for the role, but for the company culture too!
