Senior MLOps Platform Engineer

A partner company is strengthening its team, and Nordic Investin is recruiting a Senior MLOps Platform Engineer. You want technical choices, delivery and production behaviour to reinforce each other, even when the constraints are difficult. The partner is strengthening its capability in shared machine-learning delivery services for multiple data-science teams. You will connect Kubernetes, model registry and feature platforms while ensuring that CI CD and drift monitoring receive appropriate discipline. The aim is practical progress that colleagues can use, leaders can evaluate and the organisation can sustain. The environment rewards early questions, visible trade-offs and engineering discipline. Security and operability belong in the design. How you will work You will work with product, architecture, security, operations and domain colleagues. The partner values short feedback loops, evidence from real systems and direct communication. This role calls for independent judgement and the ability to raise the quality around you. You are expected to make trade-offs visible, recognise when a decision needs wider expertise and move work forward without creating unnecessary process. What you will do Own the practical direction for shared machine-learning delivery services for multiple data-science teams. Translate goals and constraints into a clear approach for Kubernetes and model registry. Establish useful standards, routines or decision artefacts around feature platforms. Coordinate stakeholders and dependencies affecting CI CD. Use evidence and measurable outcomes to improve drift monitoring. Strengthen knowledge sharing and sustainable ownership through cloud infrastructure. What you will bring Relevant experience delivering shared machine-learning delivery services for multiple data-science teams in a demanding environment. Strong working knowledge of Kubernetes and model registry. Practical experience applying feature platforms and CI CD. Ability to assess prioritie