Machine Learning Engineer
Bloom & Wild
Hi, we’re Bloom & Wild. 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. Together, we’ve fulfilled over 20 million deliveries (and counting!), making us the largest direct to consumer flower business in Europe.
We announced £75 million Series D funding in 2021 and that same year acquired bloomon in The Netherlands and Bergamotte in France. Now home to a family of 3 beautiful brands, 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.
We really care about creating a diverse and inclusive team - so we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team.
⚙️Data Science at Bloom & Wild
You will be joining a small data science team, currently consisting of 3 data scientists within an overall Bloom & Wild team of over 350 people and growing! We are a small, driven team that are set on expanding usage of data science across Bloom & Wild. We collaborate closely with the data engineering and product teams, the rest of the technology team, a separate business intelligence and analytics team, our CRM and operations teams to help us identify areas of opportunities and bring our projects to life.
With millions of customers and hundreds of thousands of monthly transactions, we have a large and growing dataset that we use for training machine learning models. We have a number of models in production, from recommendation to forecasting engines, and a backlog of ideas to brainstorm, prototype and test.
In terms of technologies: Python, Snowflake, dbt, git, ECS, Lambdas and Airflow on AWS are part of our day to day. We welcome applications from candidates based within roughly two hours of the UK time zone, covering many European countries. This helps us stay aligned as a team while supporting flexible, remote-friendly ways of working. At Bloom & Wild, squads meet in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together.
You can read lots more about our technology stack and our culture over on our tech blog - Code Wild
Your responsibilities will include:
- 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.
✅ You’ll love this role if you… (What excites us)
- 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.