At a Glance
- Tasks: Lead and define the vision for ML & AI to enhance customer experiences.
- Company: Market-leading digital enterprise focused on personalised retail experiences.
- Benefits: 30% annual bonus, hybrid working, comprehensive healthcare, and leadership support.
- Other info: Join a collaborative team influencing executive strategy and driving commercial success.
- Why this job: Shape the future of AI innovation in a dynamic, impactful role.
- Qualifications: Proven leadership in ML/AI with hands-on experience in production systems.
The predicted salary is between 70000 - 90000 £ per year.
About the Client & Role
We are partnering with a market-leading digital enterprise on a mission to deliver personalised, seamlessly connected digital retail experiences at global scale. Powered by proprietary tech, brilliant products, and a customer-first approach, their platform turns millions of everyday interactions into memorable customer moments. They are seeking a Head of Machine Learning & AI to define and lead how advanced ML, search, personalisation, and modern AI drive customer experience and commercial performance across their primary business verticals. This leadership role sits within the Product, Data & Technology (PDT) organisation, focusing on building and scaling high-throughput, production-grade machine learning systems. From dynamic recommendations and product ranking to search optimisation and Generative AI applications, your vision will directly shape how millions of active users engage with the brand.
What You’ll Do
- Strategic Leadership: Define the vision and long-term strategy for ML & AI, identifying high-value opportunities to boost customer engagement, conversion, and commercial performance.
- Team Direction: Lead, mentor, and scale a high-performing team of machine learning specialists, taking full ownership of model performance, quality, and production lifecycles.
- Applied AI Integration: Guide the application of cutting-edge AI technologies—including Generative AI, LLMs, and modern deep learning models—into scalable, high-impact production environments.
- Cross-Functional Influence: Serve as a core member of the PDT leadership team, directly influencing roadmap decisions, investment priorities, and executive strategy as the authoritative voice on AI/ML.
What We’re Looking For
- Proven track record in a senior leadership role driving ML and AI initiatives within a scale-up or enterprise digital/e-commerce environment.
- Deep hands-on background in applied production systems: machine learning engineering, recommendation engines, ranking algorithms, and personalisation architectures.
- Clear expertise leveraging Generative AI and LLMs to solve practical business and operational challenges.
- Exceptional executive communication skills, with a track record of bridging technical data science strategy with commercial impact.
Annual Bonus: 30% Hybrid working model (London office base) Executive benefits package, comprehensive healthcare, and leadership progression support.
Interested in leading the next phase of AI innovation for an industry leader? Apply directly or get in touch for a confidential discussion.
Head of Machine Learning employer: MRJ Recruitment
Join a leading B2B and B2C organisation that values innovation and growth, offering a dynamic work culture where your contributions directly impact the brand's success. With competitive day rates and the flexibility of remote work, this role provides excellent opportunities for professional development and collaboration across various teams. Be part of a household name in eCommerce, where your project management skills will thrive in an environment committed to continuous improvement and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MRJ Recruitment.
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We think you need these skills to ace Head of Machine Learning
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.
