At a Glance
- Tasks: Lead the strategy and development of Machine Learning & AI for a major eCommerce product.
- Company: Fast-growing eCommerce business with a focus on innovation.
- Benefits: Competitive salary up to £140,000 plus bonus and flexible working.
- Other info: Opportunity to influence senior stakeholders and drive commercial impact.
- Why this job: Shape the future of AI while enhancing customer experience for millions.
- Qualifications: Experience in leading ML teams and building production ML systems.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (2 days per week)
Salary: Up to £140,000 + Bonus
We're partnering with a fast-growing eCommerce business looking to appoint a Head of Machine Learning & AI to lead the strategy, development and delivery of Machine Learning across one of its core customer-facing product areas. This is a senior leadership opportunity where you'll define how Machine Learning and AI enhance customer experience, drive commercial performance and shape the future of AI within the organisation. You'll lead a high-performing team of Machine Learning specialists while working closely with Product, Engineering and Data leadership to deliver scalable, production-ready AI solutions used by millions of customers.
Key responsibilities include:
- Defining the Machine Learning and AI strategy across a major customer-facing product area.
- Leading the development and optimisation of production ML systems, including recommendations, search, ranking and personalisation.
- Owning the end-to-end lifecycle of Machine Learning models, from deployment through to monitoring and optimisation.
- Driving the adoption of Generative AI and LLM-powered capabilities across customer-facing products.
- Partnering with Product, Engineering and MLOps teams to deliver scalable AI solutions.
- Leading and developing a team of Machine Learning specialists while influencing senior stakeholders across the business.
You'll have:
- Experience leading Machine Learning or Applied AI teams within a product-led business.
- A strong background building production ML systems, particularly recommendations, search, ranking or personalisation.
- Experience delivering commercial impact through Machine Learning and AI.
- Knowledge of modern AI technologies, including LLMs and Generative AI.
- Excellent stakeholder management and leadership skills.
If you are keen, please reach out to- Unfortunately, we are not able to offer sponsorship on this role.
Senior Machine Learn employer: Cognify Search
Join a dynamic eCommerce business in London, where innovation meets opportunity. As a Senior Machine Learning & AI leader, you'll thrive in a collaborative culture that values creativity and growth, with access to cutting-edge technologies and the chance to shape the future of AI. Enjoy competitive compensation, including a generous bonus structure, while working alongside a talented team dedicated to enhancing customer experiences for millions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learn
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We think you need these skills to ace Senior Machine Learn
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cognify Search. 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 Cognify Search
✨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!
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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
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✨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.
