Senior AI/ML Engineer

Sourced from jobs24.co.uk

Design, build, and operate production-grade AI and machine learning solutions across the full lifecycle, combining Generative AI and Agentic AI engineering with MLOps, scalable model serving, cloud infrastructure, production monitoring, and responsible engineering controls. Develop enterprise AI applications using LLMs, transformer architectures, RAG, and agentic patterns such as ReAct. Build and deploy ML models with Python and PyTorch, and manage CI/CD, monitoring, and governance for production systems.

• Design enterprise AI applications using LLMs, transformer architectures, RAG, and agentic AI patterns such as ReAct.
• Build agents that use tools, reasoning, memory, and workflow orchestration; integrate AI capabilities with enterprise platforms through secure APIs and microservices.
• Develop, evaluate, and optimise machine learning and deep learning solutions using Python and PyTorch, from experimentation to production.
• Create embedding, indexing, semantic retrieval, and ranking pipelines for grounded AI responses and enterprise knowledge use cases.
• Package models using Docker and deploy through KServe, Vertex AI endpoints, and Kubernetes-based serving platforms.
• Build CI/CD, continuous training, and continuous monitoring workflows, including model evaluation and controlled promotion across environments.
• Operate feature and model registries, model versioning, and reproducible release processes aligned to governance and risk controls.