Senior Applied ML Engineer
Amsterdam, Netherlands; London, United Kingdom; Remote - Europe
R
GBP 225K-250K (estimate) Senior-level Full Time
Tasks
- Analyze performance trade offs for latency quality and cost
- Build and optimize embedding based indexing and large scale retrieval systems
- Contribute to product and architectural decisions
- Define and improve quality metrics for search evaluation pipelines
- Design train and deploy ML models for retrieval reranking search relevance in production
- Develop models for crawling data selection and content understanding
- Experiment with state of the art search retrieval and LLM integrated systems
- Integrate ML models into production services
- Operate ML systems at large scale with high throughput query workloads
Perks/Benefits
- Dynamic, collaborative work environment
- Flexible working arrangements
- Professional growth opportunities
Skills/Tech-stack
C++ | Data Systems | Deep learning | Embeddings | Evaluation | Go | High Throughput | High-Throughput Systems | Information Retrieval | LLM | Language Processing | Large Scale Data | Large scale data systems | Large-scale | Latency optimization | Machine Learning | Natural Language | Natural Language Processing | Python | Ranking | Recommendation | Retrieval | Transformers
Education
N/A
Regions
Countries
States
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