A two-day practitioner conference at the QEII Convention Centre in London, gathering machine learning engineers, MLOps specialists, and applied AI practitioners for technical sessions, structured networking, and direct access to exhibitors. Fifth edition: 13–14 May 2026.
MLcon London is an annual practitioner-focused conference dedicated to machine learning, MLOps, and applied AI, designed for engineering teams and technical specialists rather than executive generalists. The fifth edition runs on 13 and 14 May 2026 at the QEII Convention Centre in London. The format combines speaker sessions with structured networking among attendees, exhibitors, and speakers. The event operates on an open-access model, subject to registration via the official website.
MLcon London occupies the spring slot of the applied machine learning circuit, running in mid-May when the European tech and data conference season is at its most active. The two-day duration keeps the programme tight enough for working engineers to attend without extended time away from their teams. For the 2026 edition, dates and venue are confirmed: 13 and 14 May at the QEII Convention Centre, Westminster.
The event addresses a technical and practitioner audience. Populations documented for this edition include:
Attendance is confirmed at 600 delegates. A breakdown by role, seniority, or company type is not publicly disclosed as of verification.
The event format as documented combines three components:
The number of stages, total session count, and any special formats (workshops, roundtables, hands-on labs) are not disclosed as of verification. The speaker list for the 2026 London edition is not publicly available on the official website at the time of verification, despite a dedicated speakers page existing on the site.
The stated networking model at MLcon London brings together three populations in the same physical space: speakers, exhibitors, and delegates. Direct access to practitioners on stage, and to vendors on the exhibition floor, is built into the format rather than confined to a separate networking session. Advance meeting scheduling tools and a dedicated official networking app are not documented for this edition.
The programme is structured around applied and technical themes. Documented areas include:
An overarching edition theme for 2026 is not disclosed. Specific session titles, keynote topics, and confirmed speakers are not publicly available as of verification.
MLcon London targets working engineers and technical practitioners: ML engineers, MLOps specialists, and applied AI teams who are actively building, deploying, or maintaining machine learning systems. The event is not structured as an executive summit or strategic briefing. The audience is assumed to have hands-on familiarity with the subject matter; sessions are framed accordingly.
It is an industry event with a practitioner orientation. The focus is applied machine learning and MLOps in commercial engineering contexts, not academic publishing, theoretical research, or benchmark competitions. Attendees come to exchange operational knowledge and assess tooling, not to present or review research papers.
Several profiles are a poor fit for this event. Executives and senior decision-makers seeking strategic market overviews rather than technical depth will find the content too implementation-specific. AI policy professionals, regulators, and researchers without a commercial engineering context will not find a natural peer group here. Business development and sales professionals attending without a genuine technical role may find the networking dynamic misaligned, given that the event draws primarily practitioners rather than buyers in a procurement sense. Individuals looking for a formal structured meeting programme with pre-scheduled one-to-one appointments will find that infrastructure absent: no advance scheduling or matching system is documented. Finally, those expecting a confirmed and detailed speaker agenda before registration will note that the speaker list for 2026 was not publicly available at the time of verification.
The 600-delegate figure is the attendance figure on record for MLcon London. No organiser attribution or year qualifier accompanies this figure in available documentation, and no historical trend data is published. A breakdown by role or sector is not available.
The Queen Elizabeth II Conference Centre sits in the heart of Westminster, directly opposite Westminster Abbey and a short distance from Parliament Square. It is a purpose-built conference venue operated by a UK government agency and regularly hosts large professional gatherings across sectors. The building offers multiple halls, breakout spaces, and an exhibition floor, making it well-suited for an event that combines a speaker programme with an exhibitor presence. The central London location gives delegates direct access to the surrounding neighbourhood for informal meetings and evening activity, with St James's Park, Victoria, and Waterloo all within walkable distance.
The organiser of MLcon London is a commercial publisher based in the United Kingdom. No company name is publicly attributed to the event on the official website as of verification. The website mlconference.ai serves as the primary publication and registration channel. The organiser's founding year, team structure, and portfolio of other events are not publicly documented.
MLcon London is a technically literate gathering in a city with genuine depth in the applied AI and data engineering market; its value is in the practitioner density it assembles, not in the breadth of its programme or the formality of its meeting infrastructure.
Registration for MLcon London is handled through the official website at mlconference.ai. The event operates on an open-access model, meaning no invitation or institutional affiliation is required to register. An Early Bird pricing tier is available, with savings of up to £170 relative to the Standard rate; however, the actual ticket prices at both tiers are not displayed publicly as of verification. Sponsor and exhibition packages are not priced publicly. Prospective attendees should consult the official website directly for current pricing.
No. The event operates on an open-access model. Registration is available directly through the official website without a referral, institutional affiliation, or prior vetting process.
The Queen Elizabeth II Conference Centre is located at Broad Sanctuary, Westminster, London SW1P 3EE. It is within walking distance of Westminster Underground station (served by the Circle, District, and Jubilee lines) and accessible from Victoria station by foot or short bus connection. The central location is well served by public transport from across London and from international rail terminals.
As of 11 May 2026, the speaker list for the London 2026 edition was not available on the official website, despite a dedicated speakers section existing on the site. Prospective attendees seeking confirmed speaker details should check mlconference.ai/london directly for updates ahead of the event.
| Official website | https://mlconference.ai |
| Register | https://mlconference.ai |
| Programme / Speakers | https://mlconference.ai (speakers page exists; 2026 London details not yet populated) |