Job Opportunities API

We are looking for a Senior Machine Learning Engineer to build, ship, and operate the machine learning and AI solutions at the core of SmartStream's financial data processing and reconciliation platforms. Working with our data scientists, you will turn prototypes into cohesive, production-ready systems, using large and complex financial transaction datasets to power capabilities such as transaction matching, reconciliation, and exception handling. You will work across the full spectrum of applied AI, from classical machine learning (supervised, unsupervised, and deep learning) to agentic AI solutions built on large language models, tool use, and multi-step reasoning. This is a hands-on engineering role. The emphasis is on productionising: turning models into robust, well-tested, observable services and keeping them accurate and reliable in production. You will own existing ML services end to end and evolve them, working closely with software engineers, data scientists, product managers, and domain experts to turn real-world reconciliation challenges into dependable software. Job Responsibilities Develop, deploy, and maintain machine learning models and services, and keep existing ones performant and robust Translate research artefacts and prototypes into production-grade ML systems: hardening code, adding tests and observability, and 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 with software engineers and data scientists on the surrounding data and matching platform Document methods and decisions to keep models transparent and reproducible