27 engineer English-speaking jobs in Lublin Voivodeship

  • Cross Border Talents
  • Lublin
  • April 19
Senior ML/AI Engineer will design, implement, and manage production-grade ML and GenAI solutions. Responsibilities include deploying models, building data pipelines, and supporting Data Science teams in production readiness. Requires 5+ years of experience in Data Engineering, ML Engineering, or Backend development with a focus on production-grade Python and ML systems.
  • Sollers Consulting
  • Lublin
  • February 18
LogoAs a Data Engineer, you will be responsible for building and optimizing our clients’ data pipelines and
  • Sii Poland
  • Lublin
  • April 13
Develop and maintain DPU drivers and networking software stacks. Integrate and optimize fast-path packet processing components. Debug and profile data path performance issues. Collaborate with hardware and firmware teams.
  • C&D Talent Advisory
  • lublin
  • April 12
Lead AI DevOps Engineer needed to architect, deploy, and scale AI/ML/GenAI systems (LLMs/SLMs) in production environments. Requires 5+ years in DevOps/Cloud Engineering, experience deploying LLMs/SLMs, and advanced scripting (Python + Bash/PowerShell).
  • PwC
  • Lublin
  • April 4
LogoSenior Data Engineer will design, build, and maintain scalable data pipelines and platforms. Responsibilities include developing and optimizing ETL/ELT pipelines using Databricks, SQL, and Python, ensuring data quality and collaborating with stakeholders. Requires a Master's degree and experience in data engineering, database development, or data platform roles.
  • C&D Talent Advisory
  • lublin
  • April 12
Senior AI DevOps Engineer needed to architect, deploy, and scale AI/ML/GenAI systems at scale, including LLMs/SLMs. Requires 5+ years in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and expertise in IaC (Terraform/Ansible), Kubernetes, and Python/Bash/PowerShell.
  • C&D Talent Advisory
  • lublin
  • April 4
This role combines hands‑on engineering + consulting mindset, focusing on deploying LLMs/SLMs in production, building scalable infrastructure, and advising stakeholders. This is not just DevOps — this is AI infrastructure + client‑facing impact + technical leadership.
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