Data Scientist - Machine Learning, AI, Python

8 Days Old

We're looking for a Principal Data Scientist to lead the design of AI systems that can support complex, multi-step tasks, use tools, adapt to context, and make intelligent decisions. This role is ideal for someone who not only understands data and AI deeply but also brings strong software engineering instincts. You will explore and implement RAG or Graph RAG approaches to improve retrieval quality and reasoning in LLM workflows, including graph construction, entity linking, and hybrid scoring strategies.
Prototype, evaluate, and ship AI features using platforms like Claude or Amazon Bedrock with a focus on production readiness, not just experimentation.
Develop evaluation frameworks for testing model output quality, reliability, and alignment with user goals (e.g., Work closely with engineers and designers to embed AI capabilities into real user workflows, ensuring that technical architecture supports meaningful product outcomes.
Own the full lifecycle of AI components from evaluation frameworks, planning and modeling to testing, deployment, and continuous improvement.
Contribute to our AI strategy and roadmap, helping shape how we scale LLM usage responsibly across the platform. You bridge product and engineering by embedding AI into user-facing features, not just prototypes.
Collaborate closely with Principal Engineer to align AI workflows, system prompts, and model interaction layers.
We have live AI features and a strong pipeline of customer's excited to get access to more improved ai powered workflows. Our focus is on delivering real, valuable AI-powered features to customers and doing it responsibly. You'll be part of a team that owns the entire lifecycle of these systems: planning, building, testing, deploying, and evolving them as part of our core product.
You're a practical AI builder. research or academic novelty.
You're comfortable writing code, reviewing PR's, and deliver a reliable, explainable, production-ready product.
You're curious about how people interact with AI and want to build systems they can trust and understand.
Performance over time.
~5+ years experience in applied AI, machine learning systems, or data science roles with production responsibility.
~ Proficiency in Python, with experience building and maintaining AI systems, not just analyses.
~ Experience working in Java or TypeScript environments beneficial.
~ Bonus: experience in vector stores, agent orchestration, or legaltech domain knowledge.

Opus 2 is a global leader in legal software and services, trusted partner of the world's leading legal teams. All our achievements are underpinned by our unique culture where our people are our most valuable asset. Contributory pension plan.
~26 days annual holidays, hybrid working, and length of service entitlement.
~ Health Insurance.
~ Loyalty Share Scheme.
~ Employee Assistance Programme.
~ Electric Vehicle Salary Sacrifice.
~ Cycle to Work Scheme.
~ Accessible and modern office space and regular company social events.

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Location:
London
Job Type:
FullTime

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