Senior AI Engineer / Data Scientist

Salary: £54,000 - 94,000 per year

Requirements:

• Bachelors or Masters in Computer Science, Data Science, or a related field with 4+ years experience, or a Ph.D. with relevant experience
• Strong engineering experience with Python, APIs, microservices, debugging, and code review
• Proven experience building and deploying Generative AI or Agentic AI applications in production
• Deep understanding of LLM concepts, RAG patterns, prompt design, and evaluation methodologies
• Experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, and Semantic Kernel
• Familiarity with orchestration strategies like planner/executor and tool-calling workflows
• Knowledge of MCP, A2A protocols, and OpenAPI-based integration methods
• Strong experience with cloud environments, ideally Azure, including Azure OpenAI, AI Foundry, and AI Search
• Competence in containerized deployments, CI/CD, and MLOps tooling such as MLFlow and Airflow
• Experience with Microsoft Agent Framework and Azure AI Agent Service
• Knowledge of vector databases such as Pinecone, Weaviate, Qdrant, and Milvus
• Familiarity with guardrail and AI safety techniques, including output filtering and prompt injection defense
• Experience in distributed systems, event-driven architectures, and workflow engines
• Prior involvement in training, fine-tuning, or experimenting with foundation models

Responsibilities:

• Design, build, and deploy Generative AI and Agentic AI solutions from prototyping through production
• Develop and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, and Semantic Kernel
• Implement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflows
• Design and build RAG pipelines, including embeddings, chunking, hybrid search, and retrieval evaluation for enterprise data grounding
• Develop orchestration engines supporting multi-step planning, delegation, and fallback paths for agent workflows
• Implement integration and communication patterns via MCP, A2A, OpenAPI, REST, and gRPC
• Build production-grade Python APIs and microservices integrating with enterprise systems and AI services
• Apply observability and monitoring solutions such as Langfuse, Arize, and Grafana to ensure system reliability
• Contribute to solution architecture, best engineering practices, and documentation

Technologies:

• Agentic AI
• AI
• Airflow
• Azure
• CI/CD
• Cloud
• Fine-tuning
• Grafana
• LLM
• Langfuse
• MCP
• MLflow
• MLOps
• OpenAPI
• Python
• RAG
• REST
• gRPC
• microservices

More:

We are looking for a Senior AI Engineer / Data Scientist to join our team in London, United Kingdom, in a hybrid working mode. This role is at the core of our Data & AI Practice and focuses on building state-of-the-art Generative AI, Agentic AI, and advanced data science solutions for real-world business problems. You will design and deliver production-ready AI applications that transform client capabilities across multiple industries, with the opportunity to work in a high-growth environment on cutting-edge challenges.

last updated 36 week of 2026