Machine Learning Engineer

At MedHelp Care, we’re shaping the future of workplace health management. As a leading Nordic B2B SaaS company, we build intelligent AI-powered platforms that help organizations create healthier workplaces. Our platform uses advanced health data analytics and machine learning to detect early signals of health risk, enabling companies to take proactive, preventive action. Our mission is clear: to make workplaces healthier, more resilient, and better equipped to support both employees and organizations. We are on an exciting growth journey and we’re now looking for a Machine Learning Engineer to join us. About the role You'll join our data team that develops InsightsHub and Statistics, our customer-facing analytics products; Larix, our model for flagging who's at risk of long-term sick leave; and the data platform underneath. We use agentic coding tools heavily, and expect how we build to keep changing. We care less about which tools you use today than whether you're willing to keep changing how you work. Larix, and how we run models in production generally, is at the centre of this role. We're a small shop, so things move fast and what you build shapes the product rather than a corner of it. What we’re recruiting for Larix, our long-term sick leave risk model: retraining, serving and monitoring it in production, plus features, evaluation, performance and making it work in new markets. How we run models in production generally - serving, evaluation and monitoring. What the team owns and you’ll work across InsightsHub, our LLM-based analytics product: the data model and pipelines underneath, and the generation on top. The transformation layer: dbt, warehouse, orchestration. Product and usage data, with a focus on making it self-serve. Proving what the product does to sickness absence, in a way that holds up with customers and leadership. Who we think you are You write Python and SQL that other people can maintain. You've looked after a model in production over time,