AI & ML Engineer

Join our AI & ML Engineering team, where you'll drive the adoption of AI across the business. As an AI & ML Engineer, you'll design, implement, and deploy scalable AI systems, contributing to a variety of AI initiatives. You'll work closely with other engineers and stakeholders, building reusable platforms and best practices while continuously developing your technical expertise. This role covers the full AI/ML engineering lifecycle and offers a range of benefits, including a generous staff discount, flexible working, and 25 days of holiday plus bank holidays.

• Contribuer à la conception, à la mise en œuvre et au déploiement de systèmes d'IA évolutifs, en travaillant sur des initiatives d'IA variées.
• Développer et maintenir des pipelines et des services ML de production pour des cas d'utilisation non GenAI, en utilisant des approches de modélisation supervisée, non supervisée et/ou économétrique.
• Collaborer avec des ingénieurs en données, des scientifiques des données, des ingénieurs front-end et back-end, et des chefs de produit pour livrer des solutions impactantes.
• Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage
• Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling)
• Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred)
• Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques
• Bachelor’s or Master’s degree in Computer Science/Engineering/related field, or demonstrable relevant experience
• Effective communication skills and ability to work with both technical and non-technical stakeholders
• The role requires a blend of technical depth and product sense, including
• Proven experience deploying and operating ML systems in production (batch and real-time)
• Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK)
• An interest in evaluating new AI technologies and contributing to technical discussions around build, buy or configure decisions
• Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring
• Knowledge of vector databases and retrieval strategies
• A working understanding of cloud networking and platform infrastructure
• Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize)
• Experience in e-commerce or retail environments
• Experience with recommender systems and ranking models