We're looking for a Senior ML Engineer to join our team in Madrid, Spain in a hybrid working mode.

In this role, you will design, build, and deploy scalable machine learning and AI solutions that power next-generation digital capabilities within a leading integral financial institution.

You will work across the full lifecycle – from concept and prototyping to production – in an agile and Dev

Ops-oriented environment, collaborating with multi-disciplinary teams to deliver robust, business-critical AI systems.

If you are passionate about Large Language Models, multi-agent workflows, and advanced ML engineering practices, this is an opportunity to shape AI-driven innovation within one of the world’s most renowned wealth management organizations.

Responsibilities * Design, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges * Build and integrate multi-agent systems and enable AI models with function/tool calling capabilities * Design and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data * Integrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability * Optimize agentic workflows for production use cases while ensuring safety and accuracy * Evaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration * Collaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems * Conduct code reviews, unit testing,



and debugging to guarantee quality and maintainability * Ensure compliance with software development best practices across version control, testing, and documentation Requirements * Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field * Proven experience as a Machine Learning Engineer or similar role in AI solution development * Strong programming skills in Python, experience with ML libraries and deep learning frameworks (Tensor

Flow or PyTorch) * Practical experience implementing and deploying LLMs and related orchestration frameworks * Knowledge of agentic workflows, multi-agent systems, and advanced reasoning patterns * Strong understanding of data preprocessing, feature engineering, and model evaluation techniques * Deep familiarity with relevant mathematical and statistical concepts (probability, linear algebra, optimization) * Experience implementing MLOps practices and working in Dev

Ops-based environments * Excellent problem-solving, debugging, and optimization skills * Strong communication and ability to collaborate with cross-functional teams in an agile environment Nice to have * Experience designing RAG systems for enterprise-scale use * Prior exposure to AI governance, security, or compliance in financial services * Familiarity with cloud infrastructures and containerized ML deployments using Kubernetes * Proven track record of enabling AI-driven applications in production environments #J-18808-Ljbffr

📌 Senior Machine Learning Engineer (España)
🏢 Epam Systems
📍 España