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UID:mlconference.ai/london
DTSTAMP:20261008T023443Z
DTSTART;VALUE=DATE:20270607
DTEND;VALUE=DATE:20270612
SUMMARY:MLcon London 2026
DESCRIPTION:### Overview\nMLcon London 2026 was a hybrid conference focused on generative AI\, machine learning technologies\, and machine learning engineering. It brought together developers\, engineers\, technical leaders\, and other technology professionals for conference sessions\, keynotes\, practical workshops\, bootcamps\, and opportunities to meet peers. Participants could attend in person in London or join remotely. The event was presented as a five-day program\, with conference sessions and expo activity alongside hands-on learning.\n\n### Dates and venues\nThe event ran from May 11 to May 15\, 2026. The main hotel venue was the Park Plaza Victoria London\, at 239 Vauxhall Bridge Road\, London SW1V 1EQ\, United Kingdom. The conference sessions and expo on May 12 and 13 were held at the QEII Convention Centre\, Broad Sanctuary\, Westminster\, London SW1P 3EE. Other event days remained at Park Plaza Victoria London. The page notes that the QEII Centre is within walking distance or one tube stop from the hotel.\n\n### Program\nThe program combined two conference days\, workshop days\, and bootcamp days. On Tuesday\, May 12\, and Wednesday\, May 13\, the schedule included sessions\, keynotes\, and an expo. Workshop offerings included a technical deep dive into the Model Context Protocol\, an AI Product Strategy Day\, and a workshop on tooling and patterns for reliable AI-powered applications.\n\nThe Thursday and Friday program included bootcamps and workshops. Listed options included Full-Stack AI Engineering in TypeScript\, Vibe Coding and Generative AI Development\, and Mastering Platform Engineering: From Design to Value. The page also describes workshops as hands-on and coding-focused\, with practical learning intended to help attendees move from prototypes toward production-grade AI systems.\n\n### Topics and audience\nConference tracks covered ML and deep learning\, AI strategy and governance\, AI developer tools\, MLOps and LLMOps\, and generative AI and agents. The event was aimed at developers\, software engineers\, machine learning practitioners\, technical leaders\, and technology enthusiasts interested in building\, deploying\, and operating AI and machine learning systems. The program also addressed security concerns in multi-agent systems\, including Model Context Protocol architecture\, interoperability\, data leakage\, prompt injection\, and practical controls such as access management and logging.\n\n### Format and participation\nThe hybrid format offered both in-person and remote attendance\, with separate on-site and remote ticket options. The page listed passes for different combinations of conference\, workshop\, and bootcamp days. Ticket information also advertised a 10% discount for purchases of three or more tickets. In-person attendees could network with speakers\, exhibitors\, and other participants at the venue\; remote participants could join through the online conference platform.\n\nThe page promoted practical workshops\, expert-led sessions and keynotes\, networking\, and opportunities to explore the conference expo. It also described access to recordings for six months with certain pass options\, and devmio Fullstack access as a ticket benefit. No named speaker roster or detailed session timetable is provided in the page content.\nhttps://mlconference.ai/london?ref=ainave
LOCATION:London\, United Kingdom\, GB
URL;VALUE=URI:https://mlconference.ai/london?ref=ainave
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