113 English-speaking jobs in Gdynia

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).

Lead architect and deployment of AI/ML/GenAI systems (LLMs/SLMs) including infrastructure, inference workflows, and CI/CD pipelines. Drive cost optimization, monitoring, and compliance. Mentor engineers and elevate AI DevOps best practices.

This role sits at the intersection of AI engineering + DevOps, leading the deployment and scaling of LLMs/SLMs in production environments. This is not generic DevOps — this is AI infrastructure at scale, with real business impact.

This role sits at the intersection of AI engineering + DevOps leadership, driving the deployment and scaling of LLMs/SLMs in production environments. This is not traditional DevOps — this is owning AI infrastructure, automation, and delivery at scale.

This role sits at the intersection of AI engineering + DevOps, leading the deployment and scaling of LLMs/SLMs in production environments. This is not generic DevOps — this is AI infrastructure at scale, with real business impact.

This role blends hands-on AI engineering + team leadership, focusing on building and scaling AI agents, automation workflows, and reliable AI systems. This is not a purely strategic role — this is a builder-lead position combining execution + mentorship.

This role sits at the intersection of AI engineering + DevOps leadership, driving the deployment and scaling of LLMs/SLMs in production environments. This is not traditional DevOps — this is owning AI infrastructure, automation, and delivery at scale.

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. Requires proficiency in Python for test automation, experience with frameworks like PyTest or Robot Framework, and familiarity with CI/CD tools. Knowledge of API testing, Big Data Testing, and web technologies is also essential. Experience with Cosmos DB and Fabric is a plus.

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.

Senior Fullstack Developer will design, develop, and maintain software products for a client-centric platform. Responsibilities include building RESTful and GraphQL APIs, contributing to cloud-native solutions on AWS, and implementing messaging and event-driven communication.

Lead Marketing/Commercial Analytics Specialist will support markets with financial planning, conduct data quality audits, and lead analyses triangulating KPIs with market sales data. Requires proven statistical modeling experience, data capability (SQL, Python/R, Excel), and ability to translate analytics into business decisions. Minimum 5+ years of relevant experience.