Machine Learning Engineer
Bloom & Wild
This job is no longer accepting applications
See open jobs at Bloom & Wild.See open jobs similar to "Machine Learning Engineer" General Catalyst.Software Engineering
Europe · Remote
Posted on Dec 23, 2025
bloomon is turning the flower industry on its head – for the better. How? By disrupting the traditional supply chain! We skip the auction and wholesale, to shorten the journey for our flowers. And we harness technology, brand and innovation to deliver gifts and subscriptions that delight our customers across Europe.
We launched in Amsterdam in 2014, and in 2021 joined forces with Bloom & Wild, the UK's fastest growing ecommerce company (according to the Financial Times). Our group is backed by top tier investors and is now home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte. Together, we’ve delivered over 20 million orders (and counting!), making us the largest direct to consumer flower business in Europe.
Our vision is 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.
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.
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.
It would be great if you also have...
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.
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.
🏡 Belonging at Bloom & Wild Group
We know that we learn through our differences, and building a diverse team has always been central to creating the best experience for our customers. We value all backgrounds, perspectives, ideas and experiences, and encourage everyone to share their opinions openly within our caring and inclusive team.
🧭 Our ways of working
We do things a little bit differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. We’re big on collaboration, empathy, knowledge sharing and growth, and our values drive our priorities every day:
Lead change for good: we have the guts to try new things and step up to do what matters most
Think deeply, act swiftly: we make sure there’s thoughtful rationale behind our approach and always act swiftly to implement ideas
Care wildly: we pour care and creativity into everything we do and pay attention to the things that make a difference
Stay open, be curious: we’re open about what we’re doing and why, and we welcome challenges from each other
We really believe in the power of face-to-face connections - be that through a shared project, a learning and development opportunity, or an after work social - and trust our teams to make the right decisions (for them and us) about where and how they work each day. Our working patterns are flexible and vary across the business, depending on the type of work, need for collaboration, and personal and wellbeing circumstances.
🌟 (Some of) The good stuff
To care wildly for our customers, firstly we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day.
🌻 Work that works for you
- Flexible working (core hours from 10-4pm)
- Work Abroad for up to 30 days each year
- Share in our success with a choice to take equity options from day 1
- 1 day per year to volunteer on a project that’s close to your heart
- We’ll support your commute to our office and site locations. Depending on your journey to work, this may include a Swapfiets, an NS business card or expense reimbursement
- Phone allowance
🌴 Time off
- 24 vacation days and an option to buy an extra 5 each year
- Happiness days (1 extra day each quarter for your personal ‘me time’)
- 1 celebration day per year, to celebrate a holiday that’s important to you
- Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar
🌱 Health and wellbeing
- Mental health support through Open Up, including access to online therapy sessions
- Allies and champions groups
- Mental Health First Aiders and awareness training for our managers
- In person and virtual yoga every week
- Our office kitchen is stocked with healthy drinks and snacks to keep you going
- Workplace pension contributions
-ClassPass membership: monthly credits to spend on fitness classes, yoga and much more!
🌳 Growth & Development
- A flexible training framework for every stage of your career development through our Bloom & Learn programme
- Internal & external Speaker Sessions on a variety of different inspirational topics.
💐 Moments that matter
- Social & wellbeing monthly calendar
- We love to celebrate birthdays, anniversaries and other important milestones!
- Irresistible discounts on our products, blooms & subscriptions!
🫱🫲 Getting hired
We know that job searching can be daunting, and we want to do everything we can to ensure that your experience with us is a good one. Interviewing is a 2-way process, and we’re keen to answer all of the questions you have, so that you can be sure (and excited!) that we’re the right move for you.
We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) here.
This job is no longer accepting applications
See open jobs at Bloom & Wild.See open jobs similar to "Machine Learning Engineer" General Catalyst.
