Opus 2

Principal Data Scientist, AI

Opus 2

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Lead

Tech Stack

JavaPythonTypeScript

About the role

  • Lead the design of AI systems that support complex, multi-step tasks, tool use, context adaptation, and intelligent decisions.
  • Work closely with product and engineering to architect LLM-powered features that are robust, useful, and production-ready.
  • Explore and implement RAG or Graph RAG approaches, including graph construction, entity linking, and hybrid scoring strategies.
  • Design and implement LLM-powered systems for multi-step task automation, tool use, and context-aware reasoning.
  • Contribute to prompt design and evaluate prompt results.
  • Design and implement MLOps pipelines following best practices.
  • Prototype, evaluate, and ship AI features using platforms like Claude or Amazon Bedrock with production readiness focus.
  • Develop evaluation frameworks for model output quality, reliability, and alignment (e.g., hallucination detection, prompt regression, safety scoring).
  • Embed AI capabilities into user workflows with engineers and designers to ensure meaningful product outcomes.
  • Own the full lifecycle of AI components from evaluation and planning to testing, deployment, and continuous improvement.
  • Contribute to AI strategy and roadmap to scale LLM usage responsibly across the platform.
  • Collaborate closely with Principal Engineer to align AI workflows, system prompts, and model interaction layers.

Requirements

  • Practical AI builder focused on customer value rather than academic novelty.
  • Experience with Claude and/or Amazon Bedrock (or similar LLM platforms) and prompt design, model behaviour tuning, and output evaluation.
  • Comfortable writing code, reviewing PRs, and delivering reliable, explainable, production-ready products.
  • Experience implementing MLOps best practices.
  • Curious about how people interact with AI and building trustworthy systems.
  • Experience fine tuning models.
  • Ability to reason about multi-hop question answering, graph traversal, and integrating structured retrieval with LLM prompts.
  • 5+ years experience in applied AI, machine learning systems, or data science roles with production responsibility.
  • Proficiency in Python and experience building and maintaining AI systems.
  • Experience working in Java or TypeScript environments (beneficial).
  • Experience with Claude, OpenAI, Bedrock or similar LLM platforms.
  • Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning.
  • Experience deploying LLM-powered features into production environments.
  • Bonus: experience with vector stores, agent orchestration, or legaltech domain knowledge.