155 English-speaking jobs in Gdynia

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production environments on Azure. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

Senior AI DevOps Engineer will architect and deploy AI/ML/GenAI systems at scale, including LLMs/SLMs. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows in secure, scalable Azure cloud environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Lead AI engineer to design, deploy, and maintain production-grade AI agents and automation workflows. Strong MLOps, Azure, and Kubernetes experience required. Lead and mentor a small engineering team.

Lead AI DevOps Engineer needed to architect, deploy, and scale LLMs/SLMs in production environments. Requires 5+ years in DevOps/Cloud Engineering with experience deploying LLMs/SLMs. Strong scripting (Python, Bash/PowerShell), IaC (Terraform/Ansible), and Kubernetes knowledge are essential.

Lead the architecture and deployment of AI/ML/GenAI systems (LLMs/SLMs) in production environments. Build and automate infrastructure, inference workflows, and CI/CD pipelines. Mentor engineers and drive cost optimization, monitoring, and compliance.

Drive the architecture for the Front Office domain within Nordea's Markets & Traded Products service area. Collaborate with business and technology stakeholders to develop target and transition architectures. Guide and review high-level solution designs ensuring alignment with strategies, principles, and reference architectures. Provide functional leadership to delivery teams and act as a sparring partner on architecture, data modeling, integration patterns, API design, data solutions, and governance.

Automation Engineer needed for a stable, long-term project. Proficiency in Python for test automation, frameworks like PyTest or Robot Framework, and CI/CD tools required. Experience with API testing, Big Data Testing, and web technologies is also needed.

Customer Experience Agent will create tailor-made logistics solutions for customers, managing the shipment process and coordinating with global teams. Responsibilities include building customer relationships, ensuring smooth shipment execution, and identifying service risks. The ideal candidate has previous customer experience, preferably in freight forwarding or logistics, and strong communication and problem-solving skills.

Design, develop, and maintain Java applications supporting savings and investments products. Build robust calculation engines ensuring compliance with tax regulations. Develop support for complex business processes, integrating with tax authorities and generating customer reports. Participate in the full software development lifecycle. Collaborate with financial analysts to translate requirements into technical solutions.

Design and develop electrical systems for marine vessels, including schematics, wiring diagrams, and technical documentation. Collaborate with multidisciplinary teams and vendors, ensuring compliance with maritime standards and regulations.

Solution Engineer, High Voltage will develop, implement, and maintain products and solutions for offshore substations. Responsibilities include product development, proposal creation, market analysis, and supply chain coordination. The ideal candidate has experience with high voltage and medium voltage systems design, procurement, and construction.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

Senior AI DevOps Engineer will architect and deploy AI/ML/GenAI systems at scale, focusing on LLM/SLM deployment in production environments. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience in deploying LLMs/SLMs in production and strong Azure expertise.

Consultant AI DevOps Engineer will design, deploy, and manage AI/ML/GenAI systems at scale, focusing on LLM/SLM production deployments in Azure environments. Requires 5+ years of DevOps/Cloud Engineering experience with proven AI/ML/GenAI system deployment and strong Azure expertise.

Design and develop electrical systems for marine vessels, including schematics, wiring diagrams, and technical documentation. Collaborate with multidisciplinary teams and vendors, ensuring compliance with maritime standards and regulations.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

Design and develop deck outfitting systems for marine vessels, ensuring compliance with Classification Society standards. Prepare technical documentation, layouts, and production drawings. Collaborate with cross-functional teams and participate in design reviews.

Technical Service Representative provides on-site technical support to customers, yards, and contractors. Responsibilities include ensuring project accuracy, product knowledge, and adherence to guidelines. Requires a high school diploma or equivalent, marine/yard experience, and fluency in business English. Reports to the Area Field Technical Support Specialist.

Lead Data Engineer will architect, design, and maintain complex data pipelines in Azure Data Factory. Responsibilities include building and optimizing data models, developing Python scripts, and implementing Databricks workflows. Must have expert-level experience with Azure Data Factory, SQL Server, Python (pyspark), and Databricks.

Lead Data Engineer will own the data ecosystem, drive architectural decisions, and ensure robust, scalable data workflows. Develop Python scripts for automation, data processing, quality checks, and integration tasks. Expert-level experience with Azure Data Factory for orchestrating ETL/ELT workflows and strong proficiency in Python (pyspark) for data manipulation, automation, and pipeline logic. Proven ability to design scalable data architectures and lead technical initiatives.