Machine Learning Engineer

Signify Technology — Poland · Posted ~8 hours ago

Senior Full-time Visa History ✓

Skills

machine learning LLMs AI agents retrieval systems feature engineering data preprocessing model evaluation model optimization production deployment Python

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Summary ✨ AI‑Generated

Work as a machine learning engineer building and scaling intelligent systems across real-world applications. You will design and refine models, prepare data, optimize performance and deploy solutions into production, while exploring LLMs, autonomous AI agents, agentic workflows and dynamic knowledge retrieval. The role requires being based in Poland.

Highlights

Advanced machine learning role explicitly requiring candidates to be based in Poland. The position covers the complete ML lifecycle from model design and data preparation through production deployment and maintenance, with a strong focus on LLMs, autonomous agents and retrieval-based AI.

Description

Job Title: Machine Learning Engineer Location- Poland My client is a forward-thinking Machine Learning Engineer to help them build the next generation of intelligent systems. This role is perfect for someone who’s deeply experienced with modern ML techniques and excited about large language models (LLMs), autonomous AI agents, and retrieval-based learning systems. You’ll play a critical role in designing and scaling machine learning solutions across real-world applications from model design to production deployment and long-term maintenance. You’ll also contribute to research into AI systems that go beyond traditional pipelines, including agentic workflows and dynamic knowledge retrieval. Your Role Develop and refine machine learning models tailored to high-impact business use cases Prepare and process data through thoughtful feature engineering and preprocessing steps Evaluate and optimise model performance for accuracy, scalability, and efficiency Deploy models into production and maintain robust ML infrastructure for continuous operation Work closely with teams across engineering, product, and analytics to ship end-to-end ML solutions Build and manage data pipelines that support ongoing learning and real-time updates What You Bring 5+ Experience as a software developer Hands on experience with ML Strong proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow Hands-on experience with LLMs and associated tooling, including the use of embeddings and vector search Ability to communicate complex technical ideas to both technical peers and non-technical collaborators Comfortable working in distributed teams across multiple time zones, with a collaborative and proactive mindset Professional fluency in English