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ML engineering roles in Europe are concentrated at a smaller number of companies, but they tend to pay at the top of the range. Google DeepMind, NVIDIA, Spotify, and Apple all hire ML engineers here. These roles focus on building production ML systems, not just training models in notebooks. 307 ML engineering roles are live right now.
— Felix
Google·Zurich, Switzerland
Microsoft·Zurich, Switzerland
Senior Research Engineer - Interactive Avatars
Synthesia·UK · Germany · Switzerland
Latest: Applied ML Graph Neural Network Research Software Engineer
+ 3 more roles · 2 days ago
Applied ML Graph Neural Network Research Software Engineer
Zurich, Switzerland
Senior Software Engineer, Search Ads in AI Experiences
Zurich, Switzerland
1 more job posted at the same time
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Senior Machine Learning Engineer, Ranking - Quora (Remote)
Quora·5 locations
Senior GPU Performance Software Engineer, AI/ML
Google·London, UK
Senior Machine Learning Engineer – Recommendations
Deliveroo·Greater London, UK
Principal Machine Learning Engineer, Matching & Recommendations
Bumble·London, UK
ClickHouse·7 locations
Latest: Data Scientist
+ 1 more role · 4 days ago
Barcelona, Spain
Berlin, Germany
Software Engineer III, Agent Development Lifecycle
Google·Poland
Software Engineer, Machine Learning
Meta·London, UK
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Machine learning engineering in Europe is distinct from data science or research — these roles focus on building, deploying, and scaling ML systems in production. The skill set typically combines strong software engineering fundamentals with ML-specific knowledge: model serving infrastructure, feature stores, training pipelines, and monitoring for model drift. Python is universal; experience with PyTorch or TensorFlow is expected, and familiarity with ML infrastructure tools (MLflow, Kubeflow, Ray) is increasingly common at the senior level. Senior ML engineers in Western Europe typically earn between €90,000 and €160,000, with the highest compensation at companies like Google DeepMind, NVIDIA, and Apple. London, Zurich, and Amsterdam are the primary European hubs for ML engineering. The field is moving quickly — LLM deployment, RAG systems, and inference optimisation are appearing in a growing number of job descriptions.
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