National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Scientist - AI

Opus 2
London
1 week ago
Create job alert

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. You’ll work closely with product and engineering to architect LLM-powered features that are robust, useful, and production-ready not just impressive demos. This role is ideal for someone who not only understands data and AI deeply but also brings strong software engineering instincts. Someone who can design intelligent systems that operate reliably and scalably within a complex product environment.

What you'll be doing

  • 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.
  • Design and implement LLM-powered systems that support multi-step task automation, tool use, and context-aware reasoning within the product.
  • Contribute to prompt design and evaluate prompts results
  • Design and implement MLOps pipelines with best practises in mind
  • 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., hallucination detection, prompt regression, safety scoring).
  • 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.

What excites us?

We’ve moved past experimentation. 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.

Requirements

What we're looking for in you

  • You're a practical AI builder. Not just a theorist. You think in terms of customer value, vs. research or academic novelty.
  • You’ve worked with Claude and/or Amazon Bedrock (or similar LLM platforms) and understand prompt design, model behavior tuning, and output evaluation.
  • You're comfortable writing code, reviewing PR's, and deliver a reliable, explainable, production-ready product.
  • Are excited about MLOps and brings experience in implementing MLOps best practices.
  • You’re curious about how people interact with AI and want to build systems they can trust and understand.

Qualifications

  • Experience fine tuning models.
  • Ability to reason about multi-hop question answering, graph traversal, and integrating structured retrieval with LLM prompts.
  • 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.
  • Experience with Claude, OpenAI, Bedrock is nice to have or experience with similar LLM platforms required.
  • Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning.
  • Experience deploying LLM-powered features into production environments.
  • Bonus: experience in vector stores, agent orchestration, or legaltech domain knowledge.

Benefits

Working for Opus 2

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. Working at Opus 2, you’ll receive:

  • Contributory pension plan.
  • 26 days annual holidays, hybrid working, and length of service entitlement.
  • Health Insurance.
  • Loyalty Share Scheme.
  • Enhanced Maternity and Paternity.
  • Employee Assistance Programme.
  • Electric Vehicle Salary Sacrifice.
  • Cycle to Work Scheme.
  • Calm and Mindfulness sessions.
  • A day of leave to volunteer for charity or dependent cover.
  • Accessible and modern office space and regular company social events.

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist - Optimisation

Principal Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.