Senior Data Scientist

Overview

Senior Data Scientist (AI / NLP / MLOps) – Mid–Senior Level

Location: London / South East (Hybrid – minimum 2 days per week in the office)

Salary: Up to circa £90,000 + Benefits

Start Date: ASAP

About the Opportunity:

We’re recruiting on behalf of a high-growth organisation building next-generation AI for regulatory intelligence . This is a hands-on Data Scientist role focused on developing and deploying intelligent document analysis and semantic search capabilities, combining classical NLP with modern transformer and LLM-based approaches.

You’ll have real ownership across the modelling lifecycle—helping shape strategy, building robust evaluation, and ensuring models perform reliably in production.

What You’ll Be Doing:

• Designing, building, and maintaining NLP models for document parsing, entity recognition , and relationship extraction
• Creating hybrid NLP pipelines using rule-based methods alongside transformer-based approaches
• Developing and fine-tuning embeddings and similarity models to power semantic content discovery and related-document search
• Supporting the end-to-end MLOps lifecycle : model versioning, automated evaluation, monitoring, and continuous deployment
• Implementing evaluation frameworks covering accuracy, robustness, bias, and drift detection
• Building reproducible training workflows and supporting automated CI/CD for model development
• Collaborating with backend engineers to integrate models into production services with traceability and explainability
• Staying current with emerging research and testing new approaches to retrieval, summarisation, and semantic search

Qualifications

• 4+ years’ hands-on experience in data science or NLP engineering (Python-focused)
• Experience deploying and maintaining NLP/LLM models in production or production-like environments
• Practical knowledge of MLOps tooling and model evaluation practices
• Experience with vector databases / embedding stores (e.g. ChromaDB, FAISS, Mongo Atlas)
• Strong understanding of semantic similarity metrics and evaluation methods
• Cloud and deployment exposure (preferably Azure ) plus containerisation (Docker / Kubernetes )
• Good software engineering practices: version control, testing, reproducibility
• Graph-based methods or knowledge graphs
• Experience working with regulatory, legal, or financial text
• Familiarity with LLM evaluation tools , LangChain, or related evaluation frameworks
• Hybrid working with a flexible set-up and modern tooling
• A key role shaping a real-world applied AI product with tangible impact
• Collaborative, high-performing team blending AI expertise with deep domain knowledge

How to Apply

Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.

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