Machine Learning Engineer (NLP)
Hybrid · Lisbon, Lisbon, Portugal
Job Summary
Machine Learning Engineer (NLP) responsible for building and deploying NLP models for financial sentiment analysis across stocks and crypto; develop NER systems, automated document processing pipelines, fraud/anomaly detection, and intelligent customer support using LLMs; optimize internal search/discovery with embeddings; manage full MLOps lifecycle from data labeling to deployment and monitoring for model drift; collaborate across teams to deliver production-ready features. Requires BA, Master’s or PhD in CS/Data Science with NLP/Deep Learning focus, strong Python and DL framework skills (PyTorch/TensorFlow), experience with Transformers, LLMs, vector databases; data pipelines (Spark, Kafka, Airflow), SQL; cloud deployment (AWS/GCP/Azure) with Docker/Kubernetes; familiarity with financial terminology; English communication and documentation skills; dynamic work environment with offices in Lisbon, Dubai, Kyiv, Lviv and openness to remote for the right fit.
Required Qualifications
- BA, Master’s or PhD in Computer Science, Data Science, or a related field with a focus on Natural Language Processing or Deep Learning
- Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Proven experience with Transformers (BERT, RoBERTa), Large Language Models (LLMs), and vector databases (e.g., Pinecone, Milvus, or Weaviate)
- Strong experience in building data pipelines using tools like Spark, Kafka, or Airflow, and proficiency in SQL
- Familiarity with financial terminology and the ability to handle domain-specific data challenges (e.g., interpreting ticker symbols vs. common words)
- Experience deploying models in a cloud environment (AWS, GCP, or Azure) using Docker and Kubernetes, ensuring low-latency inference for real-time trading signals
- Ability to design robust evaluation frameworks for NLP models, moving beyond standard metrics to business-impact metrics like "signal-to-noise ratio" in trading
- A "builder" mindset with the ability to prototype rapidly and move from a research paper to a production-ready feature in weeks, not months
- Fluent in English with excellent documentation and cross-team coordination skills
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.