193 English-speaking jobs in Gdynia

Senior AI DevOps Architect to lead architecture and deployment of AI/ML/GenAI systems (LLMs/SLMs) in production environments on Azure. Requires 5+ years in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs and strong Azure expertise.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. 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.

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

Senior AI DevOps Engineer to architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployment in Azure cloud environments. Requires 5+ years in DevOps/Cloud Engineering with proven experience in AI/ML/GenAI projects and strong Azure expertise.

Lead high-impact AI initiatives, particularly in Agentic AI. Manage AI projects end-to-end, from concept to production. Develop AI use cases, conduct strategic analysis, and engage with executives.

Develop and improve Nordea's ICT supplier risk management framework. Monitor regulations, deliver training, and collaborate with legal and procurement teams on supplier contracts. Conduct supplier reviews, assess compliance, and report on findings.

The IT Supplier Performance Manager oversees supplier performance, ensuring compliance with Service Level Agreements, KPIs, and regulations. Responsibilities include performance reporting, onboarding new suppliers, developing performance processes, and collaborating with stakeholders to establish performance expectations. The role requires ITIL and IT Service Management knowledge, experience with service level management and performance management methodologies, and the ability to manage stakeholders at all levels.

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.

Experienced Transition Manager needed for large-scale data centre migration program within Finance. Plan, coordinate, and drive complex transition and cutover activities across multiple application migrations. Strong background in financial services IT transitions and experience managing data centre migrations required.

Senior Transition Manager for a large-scale data centre migration program. Plans, coordinates, and drives complex transition and cutover activities across multiple application migrations. Manages transition plans, cutover schedules, and execution runbooks. Ensures transitions are executed in line with compliance, control, and operational stability requirements.

Solution/Product Owner for Authentication Management within IAM. Define and set the vision and roadmap for products. Drive improvements in alignment with architects and other areas of expertise. Secure legal and regulatory compliance. Act as a technical expert in authentication solutions and processes. Work closely with product and applications owners.

Leads end-to-end management of major IT incidents, ensuring timely service restoration and minimal business disruption. Coordinates technical bridge calls and virtual war rooms, engaging stakeholders across infrastructure, development, and support teams.

The Analytics and Reporting Expert provides ad-hoc reporting and analysis to leadership and stakeholders. The role maintains data governance, supports progress reporting, and ensures data integrity. Requires proficiency in Excel, Power Query, and data modeling. Strong communication, analytical, and project coordination skills are essential.

IT Analyst supports data-related tasks within a crucial project team, enhancing stakeholder engagement and optimizing data processing and analysis. Duties include gathering data, facilitating solution development, conducting exploratory analysis, and creating visualizations and reports.

Provides data analysis and reporting support to leadership and stakeholders. Requires proficiency in Excel, data modeling, and strong communication skills.

Senior DevOps Engineer needed for a stable, long-term project with a technology company. Experience with GitLab CI/CD, Kubernetes, Azure Platform, Terraform, and scripting is required.

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.

Design, develop, and maintain Java applications supporting savings and investment 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.

AI DevOps Engineer specializing in deploying LLMs/SLMs in production, building scalable Azure infrastructure, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with strong Azure expertise and experience with Terraform, Ansible, CI/CD pipelines, and Kubernetes.

Lead high-impact AI initiatives, particularly in Agentic AI, taking AI applications from concept to production. Manage AI projects end-to-end, developing use cases, conducting strategic analysis, and engaging with executives.