Nordea Bank Abp logo
Est. Monthly
Estimated €10,413 - €13,916
Posted August 7, 2026 · 0 days agoLast seen August 7, 2026Deadline August 9, 2026

Machine Learning Engineer

Senior Machine Learning Engineer
Helsinki, Finland
Hybrid (Helsinki office) · Software Engineering
Full-time · Senior
Finnish, English
No People Management
Masters
How this salary compares
Salary Context: Machine Learning Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Helsinki, Finland"), this listing's salary midpoint is about 71% lower. The offer sits below the benchmark range (€2,070–€5,000). The listed pay band (€868–€1,160) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2534 comparable listings.

Monthly salary comparison for Machine Learning Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Machine Learning Engineer€11,159/per month€16,639/per month€21,189/per month
All roles in Helsinki, Finland€2,070/per month€2,907/per month€5,000/per month
Pay in our data — not quoted in ad (Senior)€868/per month€1,014/per month€1,160/per month
About the role

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... 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. 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. Who you are - Experience running ML/AI models in production - Strong Python skills for production systems - Strong understanding of why ML systems fail in practice: drift, data quality, silent degradation - Hands-on experience with Docker and cloud infrastructure, ideally AWS - Familiarity with model serving concepts: latency, reliability, scaling - Working proficiency in Finnish and English - Master’s or PhD in a related field What we offer - 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

Job Details

Responsibilities

  • 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

Requirements

  • Experience running ML/AI models in production
  • Strong Python skills for production systems
  • Strong understanding of ML system failures in practice (drift, data quality, silent degradation)
  • Hands-on experience with Docker and cloud infrastructure, ideally AWS
  • Familiarity with model serving concepts: latency, reliability, scaling
  • Working proficiency in Finnish and English
  • Master’s or PhD in a related field

Skills & Technologies

PythonAWSDockerKubernetesTerraformJenkinsGitvLLMSageMakerGPU Infrastructure

Education Level

Masters

Recruitment Process

  1. 1
    Application submission
  2. 2
    Call with future team members
Seen 69 minutes agoContent Complete
Nordea Bank Abp logo
Nordea BankAbp · 244 open roles
Top locations: Helsinki, Finland · 127 · Remote - Global · 41 · Remote - Finland · 19+15 other locations
View company
Most-hired roles
Careers
95
Job
42
Healthcare Professional
16
Generalist
12
Human Resources Specialist
12
Role-level mix
Mid-Level (114)

Help us improve JobCrawls — sign in to sync saved jobs across devices, or send feedback anytime.