Job Description
Senior AI / Data Science Specialist
Hybrid – 3 days onsite | £80,000 + benefits
Overview
A major customer-focused organisation is expanding its AI capabilities and is building out two key streams:
* Traditional ML/Data Science
* A new and rapidly growing AI function
This role sits within the AI stream, operating alongside one existing AI specialist but at a slightly more senior and strategic level. You will help shape the organisation’s LLM strategy, conversational AI capabilities, and broader applied AI roadmap.
Key Responsibilities
* Design, build, and enhance LLM-driven tools, including RAG pipelines, embeddings, and prompt engineering.
* Support and expand the organisation’s chatbot capabilities.
* Work with unscripted data (text, call transcripts) to define key insights and model outputs.
* Lead and contribute to the development of evaluation frameworks to measure AI and LLM performance.
* Operate between AI engineering, ML engineering, and data science teams, helping define and influence wider AI strategy.
* Collaborate with product, technical, and commercial stakeholders to deliver high-impact AI solutions.
Tech Environment
* Python
* LangChain / Langfuse (open to other modern AI frameworks)
* Azure & Databricks
* Experience deploying AI/ML models into production
* Understanding of microservices architectures
* Strong MLOps practices
* Experience with conversational AI tools is a plus
About You
* 5+ years of experience across AI, machine learning, and data science
* Proven ability to build POCs and move quickly in an applied AI environment
* Broad exposure across LLMs, model deployment, and DS methodologies
* Strong communication skills with the ability to work with non-technical and senior stakeholders
* Comfortable operating in a hybrid model (3 days onsite)
* Experience in customer-focused or high-volume data environments is advantageous