Head of Machine Learning & AI

Head of Machine Learning & AI

Full-Time 120000 - 120000 € / year (est.) No home office possible
MRJ Recruitment

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 opportunities for significant career growth.
  • Why this job: Shape the future of AI-driven products and make a real impact in a leading company.
  • Qualifications: Proven experience in machine learning and leadership roles.

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 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 commitment to employee growth is evident through tailored development programmes and the opportunity to lead cutting-edge projects in Machine Learning and AI, all while enjoying a competitive salary and generous bonus structure. Join us to be part of a transformative journey that not only enhances customer experiences but also propels your career forward in a thriving environment.

MRJ Recruitment

Contact Detail:

MRJ Recruitment Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Machine Learning & AI

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio or a GitHub repository showcasing your machine learning projects. We want to see your work in action, especially anything related to recommendation systems or AI-driven experiences.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your vision for ML & AI. We suggest practising common interview questions and even doing mock interviews with friends or mentors.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Head of Machine Learning & AI

Machine Learning
Artificial Intelligence
Leadership
Production-Grade Systems
Recommendation Systems
Ranking Algorithms
Search Technologies

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Head of Machine Learning & AI. 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! Share your passion for AI and machine learning, and explain how you can drive commercial outcomes. Let us know why you're excited about shaping customer experiences at StudySmarter.

Showcase Relevant Projects:Include specific examples of projects you've led that relate to recommendations, ranking, or personalisation systems. We love seeing tangible results, so if you've improved conversion rates or engagement, shout about it!

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 from us. We can't wait to hear from you!

How to prepare for a job interview at MRJ Recruitment

Know Your Stuff

Make sure you brush up on the latest trends in machine learning and AI, especially around LLMs and generative AI. Be ready to discuss how these technologies can enhance customer experience and drive commercial outcomes.

Showcase Leadership Skills

As a senior role, they’ll want to see your leadership style. Prepare examples of how you've successfully led teams in the past, particularly in driving production-grade ML systems and influencing strategic decisions.

Understand the Business Impact

Be prepared to talk about how your work in ML & AI has directly impacted business metrics like conversion rates and engagement. Use specific examples to illustrate your points and show that you understand the commercial side of technology.

Collaborate and Communicate

Highlight your experience working with cross-functional teams, especially with Product, Engineering, and MLOps. They’ll be looking for someone who can effectively partner with others to improve scalability and speed-to-production.