Senior AI/Machine Learning EngineerChambers & Partners • City of London, England, United Kingdom
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Senior AI/Machine Learning Engineer
Chambers & Partners
- City of London, England, United Kingdom
- City of London, England, United Kingdom
À propos
Full details of the job.
Vacancy Name: Senior AI/Machine Learning Engineer
Vacancy No: VN996
Location: London
Employment Type: Perm
Basis: Full Time
Overview Chambers and Partners is transforming how the world’s leading legal professionals access insight and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you’ll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands‑on engineering position focused on building and operating production‑grade LLM applications on Azure. You’ll work on AI‑enabled and augmented intelligence solutions such as retrieval‑augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability, performance, security, and continuous improvement.
Main Duties and 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 categorize and organize 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 optimize 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 minimization, 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 data scientists; 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
Significant 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 optimizing 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).
Strong in Python, API design, asynchronous programming, and integration patterns. 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.
Cloud Deployment & MLOps
Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform).
Solid understanding of cloud platforms and data infrastructure.
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.
Person Specification
A passionate software engineer/Data Scientist with a history of driving their own technical and professional development.
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 themselves and their 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.
Applications Close Date Job Description 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.
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Compétences linguistiques
- English
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