Machine Learning Engineer

What you'll be doing:

• Have a critical role in architecting, implementing, and maintaining production‑grade, low‑latency ML services for ranking models, recommendation algorithms, and forecasting methods.
• Collaborate with data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, be they product‑related or infrastructure‑related.
• Help design experimentations to test ideas and assess improvements to our models.
• Advise on data strategy to provide datasets for future data science projects.
• Deliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future‑proof.
• Enhance our AWS‑native MLOps platform, and guarantee high availability and low‑latency inference for our models.
• Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values.

• Have a solid foundation in traditional ML techniques and the model lifecycle, with the practical expertise to handle class imbalance, tune hyperparameters, and resolve common pitfalls like overfitting.
• Have demonstrable experience designing, deploying, and monitoring ML services to solve customer and business problems.
• Have strong programming skills in Python for delivering production‑ready, well‑structured and documented code.
• Have experience with large datasets and are proficient with SQL; exposure to Snowflake and dbt is a plus.
• Are curious about customer needs and take a pragmatic, data‑driven, and experimental approach to solving problems.
• Thrive in collaborative environments and work effectively with a range of people and teams.
• Bring a positive, optimistic mindset, overcoming setbacks and motivating those around you.
• Are keen to learn and stay up‑to‑date with the latest technologies and value sharing your knowledge with your peers.

• Experience working on an e‑commerce site or in a fast‑growing (preferably consumer‑facing) start‑up.
• Experience working in a fully‑remote setting.

• Flexible working & work from abroad
• 25 days holiday + your birthday + flexible bank holidays, & option to buy additional holiday each year
• 1 Volunteering day each year
• Enhanced family leave and a workplace nursery scheme
• A flexible training framework for every stage of your career
• Irresistible discounts on our products, blooms & subscriptions
• Share in our success with a choice to take equity options from day 1
• Class Pass membership: monthly credits to spend on fitness classes, yoga and much more
• For more information on our perks & benefits, please see