Software Engineer - ML Platform

The ML Platform team at Veriff builds the foundation for rapid, compliant, and reliable iteration on machine learning products. We provide the scalable, observable, and user-friendly systems required to manage data, train models, evaluate performance, and deploy models at scale. Having already established our core platform capabilities, we are now entering a high-growth phase focused on systemic excellence: institutionalizing world-class observability, optimizing for cost-efficiency, and radicalizing our experimentation speed. Your role will help us bridge the gap between architectural vision and a seamless developer experience for our data science teams. You’ll help us enable ML innovation by: Implementing Observability Frameworks: Building the tools and templates that provide visibility into model performance, data drift, and training statistics, ensuring our continuous retraining loops are robust. Engineering for Efficiency: Developing systems to track and optimize compute costs and training performance, allowing us to scale our ML efforts sustainably. Building Experimentation Tooling: Executing on the roadmap for internal tools that enable Data Scientists and ML Engineers to iterate and deploy experiments with minimal friction. Developing SaaS-grade ML Services: Writing high-quality, maintainable Python code to build and automate services that sit at the core of our ML lifecycle. Bridge-Building: Working alongside our Staff Engineer to implement architectural designs and collaborating with SRE/DevXP teams to ensure our solutions are production-ready and easily managed. You are the right future Veriffian for the job if you have: 3+ years of experience in software or ML engineering, specifically building tools that support the ML lifecycle (MLOps). Strong Python skills with experience in building internal APIs or automation services. Hands-on experience with the open-source ML stack (e.g., MLflow, Kubeflow, Ray, or Prometheus/Grafana for ML monitoring). A "Product" mindset for internal tools: You care about the developer experience of the Data Scientists using your platform. Experience with SQL and Data Engineering (e.g., Snowflake, Spark, or dbt) to understand how data flows into our training pipelines. A skeptical, first-principles approach to engineering—you prefer understanding the "why" behind a system rather than just following a vendor's tutorial. Why Veriff? We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force. When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include... Flexibility to work from home Stock options that ensure your share in our success Extra recharge days on top of your annual vacation Comprehensive relocation support to Estonia or Spain Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally Learning and Development & Health and Sports budget that you are free to tailor to your own needs Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you! Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy. #SPBTAL #LI-Remote