Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at SurePayDe onderstaande informatie behandelt de functie-eisen, de verwachte ervaring van de kandidaat en de bijbehorende kwalificaties.Direct message the job poster from SurePayFounder & CEO | Build with clarity, structure & speed | Because your hiring shouldn’t be harder than saving the planet.Location: Hybrid from Utrecht | FinTech SaaS | Fraud & AML Discovery Team | 1 Day/Week in OfficeBuild fast. Train smart. Stop fraud before it happens.At SurePay, we’ve made a name for ourselves protecting payments. We’re the team behind IBAN-Name Check already used in over 10 billion transactions across Europe. Now we’re building something new. A product portfolio designed to detect fraud and money laundering before it even has a chance to happen.We’re looking for a hands‑on Machine Learning Engineer to join our Discovery team. A small, sharp group that’s experimenting, prototyping, and pushing boundaries to help us take the next big leap in fraud prevention.The opportunityThis is not your typical MLE role where you inherit a model and tweak hyperparameters. This is greenfield. You’ll have the chance to shape the way we use AI across this product suite from early experiments to production‑ready systems.You’ll collaborate with product, engineering, data scientists, and stakeholders to uncover fraud patterns, validate assumptions, and build the tech foundations of a product that will serve banks, protect people, and impact millions.Real‑time signalsEthical, explainable AIAnd a whole lot of problem‑solvingWhat you’ll doDesign and build ML pipelines from data ingestion to deploymentRapidly prototype models for fraud and AML use casesWork closely with Data Scientists and Product to test hypotheses and validate resultsTrain and deploy models using TensorFlow, PyTorch, Scikit‑learn, Spark (and Amazon SageMaker if you’re into it)Design for interpretability and explainability because our users need to understand what the model’s doing, not just trust itImplement automation and CI/CD for ML using modern MLOps practicesWork hands‑on with data infrastructure, storage, and cloud platforms (especially AWS)Contribute to building a scalable, secure, and responsible ML foundationWhat we’re looking forYou’re not just great at writing code, you understand what it takes to bring machine learning into the real world. You like working in small, high‑trust teams. You’re resourceful, fast‑moving, and thoughtful about how you build things. And you care about impact.Must‑havesProven hands‑on experience designing, building, and deploying ML modelsDeep knowledge of ML frameworks like TensorFlow, PyTorch, Scikit‑learn, SparkExperience with data pipeline design, automation, and model lifecycle managementStrong cloud experience (AWS preferred) You’ve shipped models in real environmentsFamiliarity with CI/CD for ML, infrastructure as code, and containerised deploymentYou understand model interpretability and have a strong sense of ethical AI principlesYou’re proactive, practical, and comfortable in ambiguity. You can turn an idea into a working prototype, fastExperience working in fraud, AML, or financial risk domainsFamiliarity with tools like FCRM, RiskShield, NICE Actimize, PegaPrompt engineering or LLM experimentation is a nice plusStrong Python chops, and comfort working across backend/data infra when neededWhat you’ll get8% holiday allowance + 8% personal benefits budget (use it on salary, training, or more time off)25 holiday days + flexible working hoursMacBook Pro, iPhone, and whatever else you need to buildNS Business Card & travel cost coverageHybrid setupPension planA high‑trust team where you get space to own, experiment, and growA flat culture, regular Friday drinks, and quarterly offsites with the whole companyWhy now?You’ll be part of shaping something from day one. Building a system that helps banks catch fraud before it happens and keeps real people protected. We’re early. We’re moving fast. And we’re looking for someone who wants to build not just models but something that matters.If that sounds like you, let’s chat.Apply now or drop us a message.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionAnalyst, Information Technology, and Product ManagementIndustriesFinancial Services and Software DevelopmentReferrals increase your chances of interviewing at SurePay by 2xGet notified about new Machine Learning Engineer jobs in Utrecht, Netherlands.#J-18808-Ljbffr