2 of 2 Remote Azure AI Jobs in Central London

with management of regular commercial freight logistics and specialising in providing comprehensive services for the movement of high-niche market products, are looking to recruit a talented Technology & AI Projects Manager to be based at offices in the London Heathrow area. On Offer: An opportunity to join a world class logistics company with great potential for future growth … the role: Our client is embarking on a multi‐year digital transformation. Implementing new EDI/API connections, enhancing the company’s Transport Management System (TMS), launching an AI‐enabled customer portal, and embedding data‐driven decision‐making across the organisation. Reporting to the CEO (and dotted line to COO/Head of IT) The Technology & AI Projects Manager will own and deliver these initiatives, acting as the bridge between business stakeholders, in‐house developers, and external technology partners. Key Responsibilities for the Technology & AI Projects Manager: Project Leadership & Delivery Plan and deliver end‐to‐end technology projects (EDI, API, AI, TMS, customer portal) using Agile/Hybrid methodologies. Define scope, objectives More ❯

Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) + 10% bonus We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, to join a forward-thinking AI … pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied … or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve More ❯