526 to 531 of 531 Machine Learning Jobs in London

first and only platform purpose-built for the AI control problem regulated enterprises now face. Practical experience: Worked in or around AI/ML teams in a delivery or assurance capacity. You may not have been necessarily a builder, but someone who has been close enough to data pipelines, model … deployment, and API layers to understand what "done" looks like. A background in technology risk, ML engineering, or technical consulting with AI exposure all work. Three to five years. You'll have seen enough real AI estates to recognise what Gap and Weak actually look like in practice, because ...

Series A/B speed while raising the bar on quality. You’ll run full-cycle recruiting across technical and GTM roles, including ML, computer vision, and applied engineering teams shipping YOLO into production. You’ll partner tightly with founders and hiring managers to translate headcount plans into measurable pipelines … market data and internal consistency. Sourcing & pipeline development Lead proactive sourcing using LinkedIn Recruiter, Boolean search, GitHub, and community signals. Build repeatable pipelines for ML/AI, computer vision, and core engineering roles tied to our docs ecosystem. Develop talent maps for priority markets (UK/Spain/China ...

strategy and product delivery for LEGO Digital Play’s ecosystem while aligning our product innovations with the core LEGO values of Imagination, Creativity, Fun, Learning, Caring and Quality./p h3 Key Responsibilities/h3 ul li Lead product innovation across creator tools, platform services, programmability systems … Proven success launching and scaling consumer platforms with programmable environments and/or social mechanics./li li Deep understanding of AI/ML applications in gaming, including generative AI, personalization systems, intelligent agents and content moderation./li li Familiarity with scripting languages, sandbox environments, developer platforms or embedded ...

clear point of view on how AI transforms product development, internal operations, and team structure/li li You’ve implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation/li li You’re excited by agentic AI and understand how autonomous systems … startups with high fan or user emotion at their core/li li Bonus: hands on experience with LLMs, vector databases, real time ML inference, or agentic frameworks/li/ul p This is a full time role based in London. Our office is in Soho and we believe ...

conversations. We don’t need you to write code. But you will discuss model architecture, deployment patterns, and computer vision use cases credibly with ML engineers and technical buyers. You will be expected to understand and consult on your client’s use-cases working hand in glove with Solution Engineering … facing-engineer-turned-commercial. Pure SaaS CS works too. We care about outcomes, not titles. Technically credible. You hold an architecture conversation with an ML engineer without bluffing. You translate technical value into business outcomes for budget owners. Prior experience with technical or developer-facing products (open source, APIs, ML ...

startups in London right now. They’re building technology that helps companies understand and grow revenue from their existing customers using AI and machine learning. In simple terms: helping businesses predict revenue more accurately, improve customer loyalty, and unlock value from the customers they already have. They’re still … fast-growing companies • Understanding their challenges and identifying where the product can genuinely help • Qualifying opportunities and booking meetings for the Account Executive team • Learning how to build and manage a healthy pipeline You’ll also work closely with marketing, product and the wider sales team to share feedback ...