Bloomon4d ago

Machine Learning Engineer

LondonRemoteFull-timemid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Hi, we’re Bloom & Wild. We don’t just send flowers. We help our customers to care wildly. Caring wildly is celebrating the little things we all do for each other every day. Not just the big occasions.

Technical Tools

Machine Learning EngineerData

We care wildly about people and our planet. Which is why we’re so proud to be a certified B Corp™ – committed to making long-term positive change for our community, and the world around us.

Founded in 2013, our mission back then was to make sending and receiving flowers the joy that it should be, by harnessing technology, brand and letterbox delivery. We announced £75 million Series D funding in 2021 and that same year acquired bloomon in The Netherlands and Bergamotte in France. Together, we’ve fulfilled and delivered over 20 million orders (and counting!), making us the largest direct to consumer flower business in Europe.

Now home to a family of 3 beautiful brands, we’re driven by our vision to create the destination for making life a little more thoughtful and beautiful. And we won't stop at flowers and plants. Starting with the Bloom & Wild brand, we're expanding our gifting offering to other categories like cakes, candles and cocktails. This is all part of our ambition to build Europe's #1 direct to consumer gifting destination.

🛠️ Team @ Bloom & Wild Group

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 with our infrastructure.

Help design experimentations to test our 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: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.

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.

It would be great if you also have...

experience working on an e-commerce site or in a fast-growing (preferably consumer-facing) start-up.

experience working in a fully-remote setting.

These are some of the skills and experience we think will enable success in this role, but please don’t worry if you are missing some of these. We’re committed to building a team made up of different strengths, skills and experiences, so if you’re excited about our values, passionate about what you do and would like to join us in doing things more thoughtfully, we’d love to hear from you.