Remote AI Jobs in Europe

My Remote Job lists remote AI and ML engineering positions at European companies building LLM-powered products, computer vision systems, recommendation engines, and MLOps infrastructure. Roles range from research-oriented ML scientist positions to production-focused ML engineer and AI platform engineer roles. Most require Python, PyTorch or JAX, and experience deploying models to production.

Not necessarily. Many European AI companies — particularly at the Series A to Series C stage — value production experience over academic credentials. Roles focused on fine-tuning LLMs, building RAG pipelines, or maintaining MLOps infrastructure typically prioritise engineering skills over research background. Research scientist positions at larger companies may specify a PhD or equivalent publications. Each listing states its requirements explicitly.

Remote AI and machine learning salaries in Europe vary widely depending on experience level, specialization (e.g., LLMs, MLOps, research vs production), and company stage. Mid-level roles are often seen in ranges around €85k–€115k, while senior roles may range from €120k–€160k or higher in competitive cases. Contractor rates can vary significantly and are often higher for niche expertise. Exact compensation is always defined per listing.

Since roles are remote, physical location is less important than timezone overlap and company hiring preferences. Some European cities such as Berlin, Amsterdam, Paris, and Lisbon tend to have higher concentrations of companies hiring remotely across Europe, but candidates are generally evaluated based on skills and timezone compatibility rather than location. Check each listing for specific requirements.

Python is universal. PyTorch is the dominant training framework, with JAX common in research-oriented roles. Hugging Face Transformers, LangChain, and LlamaIndex appear frequently in LLM-focused listings. For MLOps, expect Weights & Biases, MLflow, Ray, and Kubernetes-based serving infrastructure. Cloud platform experience (AWS SageMaker, GCP Vertex AI) is valued in platform-facing roles.