Top Tech Jobs & Startup Jobs in London

Lead and own tem's ML function (Rosso): set ML strategy, hire and develop ML engineers, establish operating systems (monitoring, incident reviews, prioritisation), and drive close collaboration with software engineering to deliver forecasting, pricing, and optimisation models that meet business outcomes.

Lead architecture and deliver end-to-end, scalable full-stack systems and developer tooling. Hands-on coding across backend and frontend, prototype AI-driven workflows, collaborate with product and design, mentor engineers, and drive engineering best practices to accelerate product delivery and scale.

Senior individual-contributor motion designer owning end-to-end motion work: define and evolve a motion system, create campaign/product/social/event/internal motion, translate complex energy and product concepts into clear, emotionally resonant narratives, integrate AI-first workflows to accelerate production, maintain craft and consistency, build reusable templates, and collaborate cross-functionally to support business outcomes.

Lead pricing ML for a real-time energy transaction engine: define mathematical formulation, build and ship production-grade models, optimise pricing and portfolio balance, and communicate model behavior to commercial and engineering stakeholders.

Produce polished brand and campaign assets across web, social, decks and one-pagers. Maintain and extend the design system and templates, keep files organized, and build AI-driven production workflows to accelerate output. Collaborate with Content, PMM and Growth, accept feedback, iterate quickly, and ship reliably.

Operate back-end CX and onboarding processes (document management, data entry, system administration). Ensure accurate, timely processing; flag and escalate issues; document processes and communicate progress. Identify repetitive work and propose or adopt automation/tools. Work with Product, Engineering, and tooling teams to support Intercom, HubSpot, and triage systems.

Lead the pricing ML strategy: formulate dynamic real-time pricing mathematics, build and ship production-grade Python models, optimize for signing probability, margin and portfolio balance, develop probabilistic risk/imbalance models, and communicate model behavior to commercial, product, and engineering teams.