Machine Learning Engineer

A high-growth, investor-backed wellbeing platform is redefining how people discover and experience personalised health.

Operating at the intersection of eCommerce, data, and preventative health, the business combines curated products with proprietary health technology including a next-generation blood testing platform to build a truly intelligent wellbeing ecosystem.

Backed by leading consumer investors and scaling rapidly, the company is now hiring a Machine Learning Engineer (Recommendations) to build the backbone of its personalisation engine.

You will architect, train, and deploy recommendation systems that power dynamic merchandising, personalised discovery, and tailored health journeys across web and app.

This is a high-impact, cross-functional role working closely with Product, Data, and Engineering to transform behavioural and health data into real-time, intelligent experiences.

You will also contribute to predictive systems that anticipate user needs forming the AI intelligence layer behind a category-defining wellbeing platform.

• Build and evolve a scalable recommendation engine
• Develop and deploy ML models for ranking, relevance, and engagement
• Experiment with LLM-based retrieval and embedding architectures
• Integrate ML systems into production pipelines with strong MLOps practices
• Drive experimentation, A/B testing, and performance optimisation
• Contribute to predictive models leveraging behavioural and health data
• Champion data quality, ethics, and compliance

• 4–6 years’ experience in Machine Learning or Applied AI (eCommerce or consumer tech preferred)
• Strong Python expertise (PyTorch, Tensor Flow or similar)
• Proven experience building recommendation or personalisation systems
• Experience with LLMs, embeddings, and NLP techniques
• Solid SQL and modern data stack experience (e.g. dbt, Snowflake, Big Query)
• Strong understanding of MLOps, CI/CD, and production monitoring
• Commercially minded, product-oriented, and execution-focused

• Build foundational AI systems from the ground up
• High ownership and visibility in a scaling business
• Work with ambitious, high-performing teammates
• Competitive compensation and premium wellbeing benefits