Senior AI Engineer in London

We're looking for a Senior AI Engineer to build and scale cutting‐edge AI capabilities that drive smarter decisions and greater efficiency across Chambers and Partners. In this brand new role, you'll sit in our Data team and will be responsible for the design and implementation of intelligent systems that enhance how we use data, streamline operations, and power innovation across our digital platforms. You'll play a key role in establishing the technical foundations for AI at Chambers, developing scalable solutions that push our technology forward and transform how we deliver value to our users.

Key Responsibilities

• Data & Retrieval
  • Build robust ingestion pipelines for PDFs/Word/Excel/Audio/JSON and semi‐structured sources.
  • Design RAG systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re‐ranking, and grounding.
  • Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate).
  • Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners' research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction.
  • Design and implement intelligent tagging and metadata enrichment frameworks to categorise and organise legal and market data, improving search, discoverability, and insight accuracy.
• LLM & Machine Learning Application Engineering
  • Design, build, and maintain traditional ML and LLM models and pipelines.
  • Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi‐step reasoning.
  • Implement ASR/TTS and multimodal where relevant (e.g., Whisper).
  • Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine‐tuning only when needed.
  • Fine‐tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers' research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable, and aligned with business objectives.
• Platform & Operations (LLMOps)
  • Deploy and operate services on Azure (AKS/ACI/Azure Functions, API Management).
  • Implement CI/CD (GitHub Actions/Azure DevOps), Infrastructure as Code (Bicep/Terraform), secrets via Azure Key Vault, private networking.
  • Add observability: tracing/telemetry (OpenTelemetry, LangSmith), metrics, logs, cost and token usage monitoring, alerts.
  • Apply evaluation & QA: regression suites, offline eval sets/golden data, RAG evals (faithfulness, answer relevance, citation correctness), A/B tests, win‐rate testing.
  • Ensure reliability: rate‐limit handling, retries/backoff, idempotency, circuit breakers, caching (e.g., Redis/semantic cache), fallbacks and degradations.
• Governance, Safety & Security
  • Enforce PII handling, data minimisation, redaction, access controls, and auditability.
  • Mitigate prompt injection/jailbreak risks; apply content filters/guardrails; track data residency.
  • Establish and drive best practices for model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use.
  • Document architectural decisions, runbooks, and operational procedures.
• Software Engineering & Collaboration
  • Write clean, tested, maintainable code in Python (and optionally .NET).
  • Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling.
  • Collaborate in an Agile environment; contribute to technical specs and implementation plans.
  • Build POCs to de‐risk architecture and showcase value; harden POCs into production services.
  • Mentor and guide more junior engineers and other team members, review code; contribute to technical design reviews; raise the collective standard of the team.
  • Stay abreast of the AI/ML research landscape and legal‐tech/legal‐analytics domain to bring relevant innovations into our stack.

Skills and experience

• Professional experience
  • Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production.
  • Strong in Python, API design, asynchronous programming, and integration patterns.
  • Proven ability to scale LLMs and other AI models for high‐volume, real‐world applications, including optimising inference, managing computational resources, and ensuring reliability and maintainability.
• Programming & ML/LLM Frameworks
  • Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‐learn).
  • Hands‐on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O).
  • Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama).
  • Proficient with front‐end frameworks such as Angular, for integration of AI‐powered applications.
  • Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing.
  • Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code.
• Data & Information Management
  • Experience with relational/semi‐structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus neo4j or equivalent graph database.
• Software Engineering & Architecture
  • Solid grasp of SDLC practices: unit/integration/E2E testing, code review, documentation, and maintainable software development.
  • Able to implement key architectural outcomes, including reusability, performance, separation of concerns, and quality integrity.
  • Experience in asynchronous programming, API design, and integration patterns.
  • Experience with ASR/TTS productionisation (Whisper, Azure Cognitive Services) and audio pipelines is desirable.
• Governance, Security & Compliance
  • Strong understanding of security, compliance, and ethical AI practices, including Key Vault, private endpoints, PII handling, RBAC, data governance, and bias mitigation.
  • Awareness of ethical and responsible AI use, including model versioning, reproducibility, and evaluation best practices.
• Personal attributes
  • A passionate software engineer/Data Scientist with a history of driving his or her own technical and professional development.
  • Strong experience in cross‐functional collaboration, translating business and research requirements into technical solutions.
  • Worked in the media, publishing, research or a similar consumer‐focused industry. (Highly Desirable)
  • Communication – able to clearly communicate complex technical subjects to team members and stakeholders.
  • Able to lead, providing thought leadership in their domain.
  • Attention to detail – focused on the finer details that make the difference.
  • Delivery focus – pragmatic and driven to get solutions live.
  • Be comfortable and motivated to deliver on personal KPIs.
  • A proactive attitude. A self‐starter who seeks out opportunities for yourself and your team.
  • Awareness of industry trends – such as challenges and best practices.
  • Positive attitude – generating enthusiasm among team members.
  • Able to build strong personal relationships and trust.
  • Comfortable in a fast‐paced, collaborative environment, balancing multiple priorities and driving projects to completion.

Equal Opportunity Statement

We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.

Seniority level: Mid‐Senior level

Employment type: Full‐time

Job function: Information Technology and Research

Industries: Research Services and Legal Services