Senior Machine Learning Engineer

Listed as a remote role based in Vienna, Austria. Senior Machine Learning Engineer 📍 Vienna, Austria Prototypes are exciting. Production is where things get real. At SmartStream, we help the world's largest financial institutions reconcile billions of transactions every month. We're looking for a Senior Machine Learning Engineer to join our Vienna team and take our ML and AI capabilities from notebook to production — powering transaction matching, reconciliation, and exception handling at genuine scale. What you'll do You'll own ML services end to end: shipping them, hardening them, and keeping them accurate and reliable long after launch. Working alongside data scientists, software engineers, product managers, and domain experts, you'll turn messy real-world reconciliation problems into dependable software. Day to day, you'll: Develop, deploy, and maintain machine learning models and services — and keep the existing ones performant and robust Translate research artefacts and prototypes into production-grade systems: hardening code, adding tests and observability, owning deployment, scaling, and lifecycle management Own model serving, monitoring, drift detection, and retraining in production Engineer and evaluate features on real financial datasets, and calibrate and validate models for reliable behaviour Collaborate closely with engineering and data science on the surrounding data and matching platform Document methods and decisions to keep models transparent and reproducible The scope You'll work across the full spectrum of applied AI — from classical ML (supervised, unsupervised, and deep learning) through to agentic AI built on large language models, tool use, and multi-step reasoning. This is a hands-on engineering role: the emphasis is on productionising, not paper- writing. What we're looking for Core skills: Strong software engineering in Python: clean, typed, well-tested code, version control, and CI/CD Strong proficiency with the scientific Python stack (NumPy, Pandas, scikit-learn, PyTorch) and a solid, practical grasp of ML, statistics, and model evaluation Experience taking ML models into production and operating them there (serving, monitoring, retraining) — not just building them in notebooks Experience building and running production services and APIs (e.g. FastAPI or Flask), containerised and deployed on Kubernetes or similar Feature engineering on structured/tabular data, and sound model evaluation and validation Ability to work with large datasets and build reliable data pipelines Clear communication with technical and business stakeholders Nice to have: MLOps practices: model and data versioning, automated retraining, monitoring, and champion/challenger evaluation Distributed data processing (Dask, Spark, Apache Arrow/parquet) and handling columnar data at scale Deeper neural-network / PyTorch experience Model explainability (e.g. SHAP) and probability calibration LLM-based or agentic systems (tool use, orchestration, retrieval) Workflow orchestration and event/stream processing Experience in regulated or data-intensive industries, ideally financial services Cloud-based ML infrastructure Experience Experience in machine learning engineering, or software engineering with a strong ML component Delivering and operating ML models in production Working in cross-functional teams delivering software products Strong problem-solving skills and a pragmatic, ownership-driven approach to shipping reliable software Qualifications Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field — or equivalent practical experience. Why SmartStream We've spent 40+ years solving post-trade problems for tier-one banks, asset managers, and fintechs. Our platforms process over 10 billion transactions a month, and our AI work is core to where the business is going — not a side project. Ready to build ML that actually runs? Apply below, or message me directly. SmartStream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination. #MachineLearning #MLOps #Hiring #Vienna #Fintech #PythonJobs #AICareers Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Financial Services and IT System Custom Software Development