3 Thought Machine jobs in Warsaw

We are a leading trading platform that is expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team. We are currently growing our Backend Team and looking for great Engineers with an interest in trading to join us! Our Engineering team plays a pivotal role in ensuring the robustness, speed, and security of our product. Dedicated to enhancing performance, providing a best-in-class user experience, ensuring compliance, and safeguarding data, the team's efforts directly impact our ability to offer clients a seamless and secure trading journey. We believe great engineering talent not only delivers excellent code, but also lives our values. We are looking for someone who is eager to go fast , willing to innovate and grow , who knows how to listen, respect and...

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you. We are a certified Great Place to Work company. We are looking for an AI Engineer with a passion for building production-grade GenAI systems. In this role, you will work closely with Engineers and the PdMs to implement, deploy, and scale advanced LLM and agentic solutions. This is an opportunity for an engineer who values engineering excellence and wants to see their...

We’re hiring an Machine Learning Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them. You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What You’ll Work On Build and operate ML lifecycle infrastructure, including model packaging, deployment, versioning, rollback, and CI/CD. Implement model monitoring, experiment tracking, and reproducibility. Build and maintain reliable batch and near-real-time data and feature pipelines,...