SW5 Consulting Ltd
Opportunity for a Senior Data Scientist (LLM/NLP Focus)
Do you thrive at the intersection of language, logic, and learning systems? A confidential team is seeking a seasoned builder of smart systems - someone who speaks fluent Python and thinks in embeddings.
This is a hands-on role for someone who's been deep in the weeds of GenAI, LLMs, and NLP - and wants to push boundaries in applied research with real-world impact.
What You'll Be Doing
Crafting custom models for stream and batch pipelines - think GenAI, LLMs, NLP, and ML. Working across ingestion, retrieval, RAG, fine-tuning, and prompt design. Partnering with internal teams to make sure your models don't just work - they work well. Who You'll Be Working With
Product thinkers, engineers, and ML folks who care about performance and precision. A collaborative crew that values experimentation and iteration. What You Bring
Advanced degree in a technical field (CompSci, Stats, Linguistics, etc.). Experience with tuning open-source LLMs and staying current with open-source trends. 8+ years wrangling structured/unstructured data for insights and automation. 3+ years hands-on with Python and libraries like Hugging Face, PyTorch, TensorFlow. Deep experience with transformer-based NLP models and semantic search. Logistics & Perks
Hybrid setup - you'll need to be able to drop into a workspace in the Northeast US (NY/NJ area). Compensation: $150k-$210k base + bonus + benefits + sign-on
Do you thrive at the intersection of language, logic, and learning systems? A confidential team is seeking a seasoned builder of smart systems - someone who speaks fluent Python and thinks in embeddings.
This is a hands-on role for someone who's been deep in the weeds of GenAI, LLMs, and NLP - and wants to push boundaries in applied research with real-world impact.
What You'll Be Doing
Crafting custom models for stream and batch pipelines - think GenAI, LLMs, NLP, and ML. Working across ingestion, retrieval, RAG, fine-tuning, and prompt design. Partnering with internal teams to make sure your models don't just work - they work well. Who You'll Be Working With
Product thinkers, engineers, and ML folks who care about performance and precision. A collaborative crew that values experimentation and iteration. What You Bring
Advanced degree in a technical field (CompSci, Stats, Linguistics, etc.). Experience with tuning open-source LLMs and staying current with open-source trends. 8+ years wrangling structured/unstructured data for insights and automation. 3+ years hands-on with Python and libraries like Hugging Face, PyTorch, TensorFlow. Deep experience with transformer-based NLP models and semantic search. Logistics & Perks
Hybrid setup - you'll need to be able to drop into a workspace in the Northeast US (NY/NJ area). Compensation: $150k-$210k base + bonus + benefits + sign-on