Lead AI/Machine Learning Engineer to Nordea (permanent position)
Nordea•Gdańsk, Gdynia
⭐ Nieznany📄 other
💰 Wynagrodzenie
Widełki nieujawnione
📋 Informacje
LokalizacjaGdańsk, Gdynia
Tryb pracy—
Etat—
DoświadczenieNieznany
Min. lat doświadczenia8+
Typ kontraktuOther
Kategoriait
📝 Opis główny / Wstęp
Job ID: 1664
We are strengthening our data science team in People Data & Analytics to drive the next phase of advanced people analytics. We are seeking a talented Lead Machine Learning Engineer to join our team.
We provide tangible business value through deep insight into the employee lifecycle. We cover the entire data value chain from people data governance to applied analytics.
About Our Team
This is a role within People Analytics & Data Science and belongs to a wider People Data & Analytics team.
We provide insights that will steer business decision making. We deliver personal, relevant, and responsible insights for the whole organization. We help our stakeholders make better, evidence-based decisions. We build our success on best-in-class competencies and scalable technologies. We take data governance seriously and we are proud that our data can be relied on.
We are looking for colleagues who can shape strategic needs into actionable insights via predictive analytics, advanced machine learning modeling, and the use of large language models where it adds value to business. We are looking for people who can build robust machine learning pipelines and AI solutions that scale.
Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.
Main responsibilities in this role:
We are strengthening our data science team in People Data & Analytics to drive the next phase of advanced people analytics. We are seeking a talented Lead Machine Learning Engineer to join our team.
We provide tangible business value through deep insight into the employee lifecycle. We cover the entire data value chain from people data governance to applied analytics.
About Our Team
This is a role within People Analytics & Data Science and belongs to a wider People Data & Analytics team.
We provide insights that will steer business decision making. We deliver personal, relevant, and responsible insights for the whole organization. We help our stakeholders make better, evidence-based decisions. We build our success on best-in-class competencies and scalable technologies. We take data governance seriously and we are proud that our data can be relied on.
We are looking for colleagues who can shape strategic needs into actionable insights via predictive analytics, advanced machine learning modeling, and the use of large language models where it adds value to business. We are looking for people who can build robust machine learning pipelines and AI solutions that scale.
Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.
Main responsibilities in this role:
- As the Lead Machine Learning Engineer, you will lead the setup of an end-to-end machine learning development pipeline that allows the team to start training and serving machine learning models on people data
- Your goal is to transform data in the People Data Mart into reusable features and enable model governance and collaboration between data scientists
- Take prototyped models from data scientists and productionize them so that they scale and work reliably
- Document our machine learning development process and ensure that it will be scalable for future needs. We are in a build-up phase, and you will have a lot of influence over our direction
- Spend time in understanding stakeholder requirements and production system data structures within and outside the team
- Participate in change management and user training to ensure continuous improvement and development
- Mentor junior colleagues and take pride in sharing your knowledge
📡 Metadata statystyk
Źródłolinkedin
Slug / IDgdansk-gdynia-lead-ai-machine-learning-engineer-to-nordea-permanent-position-nordea-88dd74
Opublikowano18 marca 2026
Wygasa—
Pobranie (Ingest)20 marca 2026