Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

4+ years’ experience in ML/AI engineering (LLMs, recommender systems, optimisation, or similar)Proven hands-on experience building LLM agents, RAG systems, or orchestrated AI workflows in productionStrong Python (with PyTorch, TensorFlow, or similar frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes)Familiarity with event-driven or serverless architecturesExperience with CI/CD pipelines, testing, and infrastructure as codeComfortable debugging complex, distributed AI/ML systemsExperience running and analysing large-scale experiments and performance metrics (latency, accuracy, cost)Exposure to monitoring/observability tools for production systems

Nice to Have:

Experience with multi-agent systems or distributed AI architecturesExperience optimising LLM usage across multiple providers (cost/performance trade-offs)Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.)Experience integrating AI systems into enterprise platforms or business workflows, Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, Recommendation System, United Kingdom

We’re working with a leading tech organisation building next-generation agentic AI systems - LLMs that can plan, reason, call tools, and write/execute code. We’re hiring a Machine Learning Engineer to help design, build, and scale these systems into production-grade, enterprise environments., Experis UK, Experis UK provides IT staffing, consulting, project delivery and managed services for organisations across key technology domains.