Senior Machine Learning Engineer, MLOps

Job ID: 3497 Are you passionate about shaping the future of insurance technology? We are looking for a Senior ML Engineer who can turn machine learning from promising prototypes into reliable production services and help build long-term technical quality in a regulated business environment. Welcome to Nordea Life & Pension Finland. We are a solvent Finnish life insurance company and part of the Nordea Group, but we are not Nordea Bank’s everyday banking business. Our focus is on life insurance, savings and pension-related products, and while Nordea Bank acts as an important distribution channel and agent for several of our products, Nordea Life & Pension has its own business domain, products and dedicated IT organisation. About this opportunity Nordea Life & Pension Finland combines the strengths of a specialised insurance company with the backing of a large financial group. We are much smaller than Nordea Bank, which means closer collaboration, shorter decision paths and strong ownership in day-to-day work. At the same time, because we are part of the Nordea Group, the role also requires the ability to work across shared platforms, common processes and a larger enterprise environment. We are a small company recognized repeatedly as Finland's best financial sector workplace by Great Place to Work and winner of the Finnish Quality Award. Quality is not a project; it is part of how we think. We do things properly, improve continuously, and keep structures light so people can focus on meaningful work. Now we focus on building our AI capability over maintaining a legacy. You'll join alongside data scientists, developers, and MLOps. Technical ownership, including architecture, standards and engineering direction, belongs to the senior engineers we're bringing in. You'll have real influence on how this team operates as it grows. Your focus is the layer between "the model works in development" and "the model works reliably for real customers." Model serving architecture, deployment pipelines, ML-specific monitoring, cost optimization, and the automation that lets the team deploy confidently and roll back safely. You build it, you own it in production, but with platform support from the wider Nordea Group. You won't be setting up Kubernetes clusters, but you'll be responsible for your solutions running reliably. We're building this operational muscle together and value your input on how to structure it well. What you’ll be doing: Own the production lifecycle of ML/AI models: serving, monitoring, scaling and reliability Design and operate model serving infrastructure (vLLM or equivalent) across hybrid environments Implement ML-specific monitoring: prediction quality, drift detection, latency, throughput, and cost per inference Manage GPU infrastructure: provisioning, scheduling, utilization optimization Ensure security, compliance, and reliability for AI workloads in a regulated environment Our AI workloads include LLM serving on vLLM with GPU infrastructure, agent-based systems, and we use SageMaker for parts of our ML pipeline. The broader stack is Python, AWS, Docker, Kubernetes, Terraform, Jenkins, and Git. We prefer open-source and operate in both cloud and on-premises environments. This role is located in our Helsinki (Kaisaniemi). Ideal starting month is as soon as possible. Who you are You understand ML systems deeply: not only how to ship a container, but why machine learning behaves differently from traditional software in production. You know how prediction quality degrades, how data and environment changes affect outcomes, and how to build systems that detect issues before customers notice them. We are looking for someone who has: Experience running ML/AI models in production Strong Python skills for production systems, not only notebooks or prototypes Strong understanding of why ML systems fail in practice: drift, data quality, silent degradation Hands-on experience with Docker and cloud infrastructure, ideally AWS, and with bringing ML systems from prototype to reliable production use Familiarity with model serving concepts: latency, reliability, scaling Working proficiency in Finnish and English Master’s or PhD in a related field It would be beneficial if you know/have/can: Infrastructure-as-code (Terraform) ML monitoring: drift detection, prediction quality, model-level observability Model serving infrastructure (vLLM or similar) GPU infrastructure: provisioning, scheduling, memory management or cost optimization Air-gapped or isolated environment deployment Data privacy, GDPR and security for AI workloads Please note, showing strengths in one area compensates for shortcomings in another. We encourage you to submit your application and briefly elaborate if that is something you are motivated to learn. What we offer We believe that great people deserve great benefits, so we offer you: High autonomy and ownership Real influence on architecture and engineering standards Hybrid working: 60 % onsite and 40 % remote Lunch (on top of salary), sport & culture benefit Banking benefits e.g. personnel mortgage margin and free daily banking services Modern office above metro station and close to train station Training and education possibilities If you thrive on ownership and impact over ceremony, get in touch! Next steps Submit your application (in PDF format in Finnish or English) no later than 18/06/2026. Please note that we will proceed with potential candidates already during the application period. Shortlisted candidates will be invited to a call with their future team members. If you have any questions about recruitment steps you may contact our recruiter Sanna Frisk at [email protected]. We enable dreams and aspirations for a greater good. We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges. We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy. We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us. Department: AI & Advanced Analytics Learn more about us Learn more about us How we recruit Who we are Sustainability in Nordea Our purpose and values