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

Nominate & Attend

Principal Data Scientist - AI (Basé à London)

Jobleads
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

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.


#J-18808-Ljbffr

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.