Machine Learning Engineer

🚀 At SpendLab, we are on a mission to revolutionize payments recovery by building cutting-edge technology that streamlines financial workflows and uncovers hidden value. 

💡 Our team builds state-of-the-art technology systems that use over 450 in-house developed algorithms and models to investigate large-scale accounting data and identify improper cash flows within our client’s procure-to-pay processes. 

🔧 Think of us as a startup experience—minus the risk. We’re rebuilding our tech stack from the ground up, solving exciting new challenges, developing algorithms to uncover overpayments, and building SaaS products that transform how businesses manage their spend. 

🌟 If you're passionate about making a tangible impact, working on innovative, high-impact projects with quick feedback loops, and being part of a talented, collaborative team, SpendLab could be your next great adventure. 

What You’ll Be Doing 

🤝 Collaborate with cross-functional teams to develop machine learning models that drive financial risk detection and fraud prevention. 

💻 Develop ML models utilizing Python, scikit-learn, and other data science libraries to power our financial risk detection systems. 

🧩 Tackle complex challenges like balancing model precision and recall, transitioning from rule-based to ML-based detection, and scaling solutions to analyze 100M+ financial transactions per year. 

🔧 Play a key role in shaping our ML model architecture by designing explainable, high-performing models that integrate seamlessly into our systems. 

What We Are Looking For 

🔧 Experience: 3+ years in machine learning, particularly with structured data, and a track record of deploying models into production environments. 

💻 Skills: Strong Python programming, SQL expertise, Familiarity with cloud platforms (preferably Azure),  

🕵️ ‍Background in anomaly detection, fraud detection, or similar pattern recognition is a plus 

💡 Mindset: A self-starter with a problem-solving mindset, strong collaboration skills, and the ability to communicate complex models to non-technical stakeholders. 

What’s In It For You 

🌍 Enjoy a hybrid work environment (3 days from the office, 2 days from home per week) 

💪 Private health insurance, ensuring your health is well taken care of 

🌴 25 days of annual holiday 

🏊‍ 5 days of personal leave 

💸 Earn a €1,000 net referral bonus for every successful hire you help bring to the team 

🚀 As we grow, we will be adapting our benefits to ensure employee satisfaction in the long run. 

If you're looking to make a real impact, work alongside a talented team, and thrive in a dynamic, innovative environment, we'd love to hear from you. Join us and be part of something extraordinary!