At a Glance
- Tasks: Lead a talented team to drive AI and ML innovations for customer experiences.
- Company: Fast-paced consumer business focused on cutting-edge technology.
- Benefits: Competitive salary, career growth, and the chance to shape AI strategies.
- Other info: Join a culture of innovation and continuous learning in a dynamic environment.
- Why this job: Make a real impact on millions of customers with advanced AI solutions.
- Qualifications: Proven leadership in ML and AI, with a strong technical background.
The predicted salary is between 80000 - 100000 £ per year.
Shape the Future of Customer Experience at Scale. Are you ready to lead a high-impact AI and Machine Learning function at the heart of a fast-paced consumer business? We're looking for an exceptional Head of ML & AI Engineering to lead a talented team of 10 engineers and data scientists, driving the next generation of intelligent customer experiences through cutting-edge AI, machine learning, search, personalisation, and recommendation technologies. This is a rare opportunity to combine strategic leadership with deep technical influence, helping millions of customers discover the right products, content, and experiences at exactly the right time.
The Opportunity: As Head of ML & AI Engineering, you'll own the vision, strategy, and delivery of AI-powered customer-facing capabilities across search, recommendations, personalisation, and emerging GenAI initiatives. Working closely with Product, Data, Engineering, and Commercial leaders, you'll build and scale systems that directly impact customer engagement, conversion, retention, and revenue. You'll lead a high-performing team of ML Engineers, AI Engineers, and Data Scientists while helping define what world-class AI looks like within a modern consumer organisation.
What You'll Be Doing:
- Lead, mentor, and grow a team of 10 ML and AI professionals.
- Define and execute the AI & Machine Learning roadmap aligned to business objectives.
- Establish engineering excellence, best practices, and scalable operating models.
- Partner with executive stakeholders to identify and prioritise high-value AI opportunities.
- Foster a culture of innovation, experimentation, and continuous learning.
- Drive the development of advanced recommendation and personalisation systems.
- Enhance search relevance through modern ML techniques, ranking models, embeddings, and semantic search.
- Lead the adoption of GenAI, LLMs, and emerging AI technologies where they create measurable customer value.
- Own the end-to-end ML lifecycle, from experimentation through to production deployment and optimisation.
- Ensure robust MLOps practices, model governance, monitoring, and scalability.
Customer Experience & Commercial Impact: Deliver AI solutions that improve customer discovery, engagement, conversion, and retention. Use behavioural, transactional, and customer data to create highly personalised experiences. Partner with Product teams to translate customer problems into scalable AI solutions. Measure success through clear business outcomes and performance metrics.
What We're Looking For:
- Proven experience leading Machine Learning and AI Engineering teams.
- Strong background building and scaling customer-facing ML products.
- Deep expertise in search, personalisation, recommendation engines, or relevance optimisation.
- Experience delivering production-grade machine learning platforms and services.
- Strong understanding of modern AI technologies, including LLMs and Generative AI.
- Track record of influencing senior stakeholders and driving business outcomes through technology.
- Experience operating within high-growth, consumer-focused, eCommerce, marketplace, retail, travel, media, or digital businesses.
Technical Expertise: Machine Learning, Deep Learning, and Recommendation Systems. Search technologies, ranking models, semantic search, vector databases, and retrieval systems. MLOps, model deployment, monitoring, and experimentation frameworks. Cloud-native environments (AWS preferred). Python and modern ML frameworks such as TensorFlow, PyTorch, or similar. Data platforms, feature stores, and large-scale customer datasets.
Leadership Profile: Strategic thinker with strong commercial awareness. Inspirational people leader who builds high-performing teams. Comfortable balancing long-term vision with delivery excellence. Passionate about innovation and applying AI to solve real customer problems.
If you're excited by the challenge of leading world-class AI and Machine Learning capabilities that directly influence millions of customer interactions, we'd love to hear from you.
Head of ML & AI in London employer: MRJ Recruitment
Join a dynamic and innovative company that prioritises the development of cutting-edge AI and Machine Learning technologies to enhance customer experiences. As the Head of ML & AI Engineering, you'll lead a talented team in a collaborative environment that fosters creativity and continuous learning, while also offering significant opportunities for professional growth and impact on millions of customers. With a strong focus on engineering excellence and strategic leadership, this role is perfect for those looking to make a meaningful difference in a fast-paced consumer business.
StudySmarter Expert Advice🤫
We think this is how you could land Head of ML & AI in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of ML & AI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at MRJ Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MRJ Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MRJ Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MRJ Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
