2 of 2 AI Agents Jobs in East London

Summer-Browning Associates are currently supporting our Central Government client, who are seeking a Lead Applied AI Engineer on an initial 6 month assignment. Location: London, Bristol or Manchester (hybrid - must be able to travel to London for key meetings) About the role: You will be responsible for leading the design and establishment of frameworks, tools and processes … to responsibly develop, deploy and monitor AI products. The ideal candidate will have a recent, proven background in Lead AI Engineer, along with the following qualifications: Skills and Experience: Proficient experience in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience … deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead … number of ambitious products, shaping the architecture, direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering … best practices in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands More ❯