About SalmonSalmon has been developing Treasury Management Systems for over 40 years, serving global financial institutions and multinational corporations. Our Salmon Treasurer platform is trusted by leading treasury teams worldwide. With offices in Dublin, Ireland, London, UK, and Olomouc, CZ, we combine deep treasury expertise with modern technology innovation, currently building our next-generation SaaS solution whilst supporting our established Desktop platform.About the RoleWe're seeking an innovative AI/ML Data Scientist to spearhead artificial intelligence initiatives within our Treasury Management System platform. This role combines classical machine learning applications for financial forecasting and reconciliation with cutting-edge agentic AI development for our intelligent treasury assistant. You'll be instrumental in transforming how corporate treasurers interact with financial data and automate complex treasury operations.Key ResponsibilitiesDevelop and deploy machine learning models for cash flow forecasting, FX exposure prediction, and liquidity optimisationBuild intelligent reconciliation algorithms to automate matching of bank statements, payments, and treasury transactionsDesign and implement automated tagging and categorisation systems for treasury transactions and financial instrumentsArchitect and develop our agentic AI treasury chatbot capable of complex reasoning about financial positions and regulatory requirementsCreate RAG (Retrieval-Augmented Generation) pipelines for treasury documentation and regulatory guidanceImplement anomaly detection systems for fraud prevention and unusual transaction patternsCollaborate with our development team to integrate ML models into our .NET/Blazor SaaS platformEstablish MLOps practices including model versioning, monitoring, and retraining pipelinesEssential Requirements3+ years commercial experience in machine learning and data scienceStrong Python proficiency with ML frameworks (TensorFlow/PyTorch, scikit-learn, pandas, numpy)Practical experience with LLMs and prompt engineering (GPT-4, Claude, Llama, etc.)Understanding of agentic AI architectures, function calling, and tool useExperience building and deploying ML models in production environmentsProficiency with API development & SQL and experience with financial/transactional datasetsStrong statistical knowledge and experience with hypothesis testingExcellent communication skills to explain complex ML concepts to non-technical stakeholdersDesirable SkillsExperience with treasury, banking, or financial services domainsKnowledge of financial instruments (FX forwards, swaps, money markets, derivatives)Familiarity with regulatory requirements (MiFID II, Basel III, IFRS)Experience with .NET integration (ML.NET or Python/.NET interop)Understanding of banking protocols and payment systems (SWIFT, SEPA, ISO 20022)Experience with vector databases (Pinecone, Weaviate, ChromaDB)Knowledge of reinforcement learning for optimisation problemsExperience with Azure ML, Databricks, or similar cloud ML platformsBackground in reconciliation systems or matching algorithmsTechnical EnvironmentPrimary: Python, Azure ML Services, OpenAI/Anthropic APIsIntegration with: C#/.NET Core, Blazor, SQL ServerCloud infrastructure: Azure (potential for hybrid deployments)Version control: Git, Azure DevOpsWorking with structured financial data and unstructured regulatory documentsWhat We OfferOpportunity to build AI capabilities from the ground up in an established FinTech companyWork on diverse ML challenges from classical forecasting to cutting-edge generative AIDirect impact on product strategy as we target 45% AI-assisted developmentFlexible hybrid working with 2 days per week office basedAccess to modern AI tools and infrastructure investmentCollaboration with domain experts in treasury and risk management