Machine Learning Engineer

ppHi, 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. It’s being there for the highs. Stepping up for the lows. 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. /p h3⚙️Data Science at Bloom Wild /h3 pYou 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. /p pMost of our team is based in the UK or the Netherlands and works in a flexible model, with choice in how often they travel to the office. Our squads meet in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. We welcome applications from candidates based remotely 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. You can read lots more about our technology stack and our culture over on our tech blog Code Wild and on our technology careers page. /p h3🚨Please note /h3 pWe’re excited to open applications for this role ahead of the new year. While you’re welcome to submit your application now, we want to be transparent that our recruitment process will begin in early January. As a people‑first business, we also want to recognise that this may mean a short delay before you hear from us. Thank you for your patience and understanding—your application genuinely matters to us, and we look forward to reconnecting in the new year. /p h3 What You’ll Be Doing /h3 pOn a typical day for the data science team, we sync in the morning during stand‑ups to discuss the on‑going work and identify blockers or areas of collaboration. During the day, we will be brainstorming and prototyping models to solve specific business problems. Or, we will be writing robust, well‑tested code for new model deployments or supporting the design of A/B tests. Or we can be collaborating with other teams to gain a better understanding of business domain, data or requirements. /p h3Your responsibilities will include: /h3 ul liHave a critical role in architecting, implementing, and maintaining production‑grade, low‑latency ML services for ranking models, recommendation algorithms, and forecasting methods /li liCollaborate 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 /li liHelp design experimentations to test our ideas and assess improvements to our models /li liAdvise on data strategy to provide datasets for future data science projects /li liDeliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future‑proof /li liEnhance our AWS‑native MLOps platform, and guarantee high availability and low‑latency inference for our models /li liBring 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 /li /ul h3✅ You’ll love this role if you… (What excites us) /h3 ul liHave 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 /li liHave demonstrable experience designing, deploying, and monitoring ML services to solve customer and business problems /li liHave strong programming skills in Python for delivering production‑ready, well‑structured and documented code /li liHave experience with large datasets and are proficient with SQL, exposure to Snowflake and dbt is a plus /li liAre curious about customer needs and take a pragmatic, data‑driven, and experimental approach to solving problems /li liThrive in collaborative environments and work effectively with a range of people and teams /li liBring a positive, optimistic mindset, overcoming setbacks and motivating those around you /li liAre keen to learn and stay up‑to‑date with the latest technologies and value sharing your knowledge with your peers /li /ul h3It would be great if you also have… /h3 ul liExperience working on an e‑commerce site or in a fast‑growing (preferably consumer‑facing) start‑up /li liExperience working in a fully‑remote setting /li /ul pThese 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. /p h3 Belonging at Bloom Wild Group /h3 pWe 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. /p h3🧭 Our ways of working /h3 pWe 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: /p ul libLead change for good /b: we have the guts to try new things and step up to do what matters most /li libThink deeply, act swiftly /b: we make sure there’s thoughtful rationale behind our approach and always act swiftly to implement ideas /li libCare wildly /b: we pour care and creativity into everything we do and pay attention to the things that make a difference /li libStay open, be curious /b: we’re open about what we’re doing and why, and we welcome challenges from each other /li /ul pWe 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. /p h3 (Some of) The good stuff /h3 pTo 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. /p h3 Work that works for you /h3 ul liFlexible working (core hours from 10‑4 pm) /li liWork abroad for up to 30 days each year /li liShare in our success with a choice to take equity options from day 1 /li li1 day per year to volunteer on a project that’s close to your heart /li liWe’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 /li liPhone allowance /li /ul h3 Time off /h3 ul li24 vacation days and an option to buy an extra 5 each year /li liHappiness days (1 extra day each quarter for your personal ‘me time’) /li li1 celebration day per year, to celebrate a holiday that’s important to you /li liFlexible bank holidays—trade a bank holiday for another day that fits your beliefs, values and celebration calendar /li /ul h3 Health and wellbeing /h3 ul liMental health support through Open Up, including access to online therapy sessions /li liAllies and champions groups /li liMental Health First Aiders and awareness training for our managers /li liIn‑person and virtual yoga every week /li liOur office kitchen is stocked with healthy drinks and snacks to keep you going /li liWorkplace pension contributions /li /ul h3 Growth Development /h3 ul liA flexible training framework for every stage of your career development through our Bloom Learn programme /li liInternal external Speaker Sessions on a variety of different inspirational topics /li /ul h3 Moments that matter /h3 ul liWe love having lunch together! We offer daily fresh and healthy lunch options at our locations in Amsterdam and Amstelveen, /li liA BBQ‑worthy rooftop terrace (Amsterdam HQ) /li liSocial wellbeing monthly calendar /li liWe love to celebrate birthdays, anniversaries and other important milestones! /li liSummer and End‑of‑Year events, team lunches and post‑peak celebrations /li liIrresistible discounts on our products, blooms subscriptions! /li /ul h3🫱🫲 Getting hired /h3 pWe 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. If your application is successful, you can expect the following process: /p ul liChat with Billy (Senior Talent Acquisition Manager) to run through your experience, motivations and the role /li liInterview with Marisa and James, Head of Data Science and Product Manager for Data Science team to get into more of the detail /li liCall with Nadia and Tonci, Lead Data Scientist and Head of Data Engineering to assess knowledge of data science and engineering principles /li liShow us how you work through a technical challenge and a discussion with Marisa and Nadia /li liFinal interview with Joe T, our CPTO /li /ul pWe believe in bleading change for good /b, 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. /p h3🚨Please note /h3 pWe’re excited to open applications for this role ahead of the new year. While you’re welcome to submit your application now, we want to be transparent that our recruitment process will begin in early January. As a people‑first business, we also want to recognise that this may mean a short delay before you hear from us. Thank you for your patience and understanding—your application genuinely matters to us, and we look forward to reconnecting in the new year. /p pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr