Top Tech Jobs & Startup Jobs in London

Own product areas across an AI-driven neobank app (payments, savings, investing, insurance, travel). Define problems, roadmap, success metrics; work with engineering, design, data, operations, compliance and business teams. Launch features, monitor performance, iterate using data and user feedback. Balance speed, UX, business impact and compliance while driving execution.

Develop and execute global communications strategy, build media relationships, craft messaging and press materials, pitch stories, prepare executives for media appearances, support product launch and crisis communications, and coordinate with product and recruiting teams to maintain consistent external messaging.

Lead product direction and execution for major AI neobank app areas. Define roadmaps, priorities, metrics, and product standards across squads. Guide PMs, designers and engineers; balance strategy, UX, data, engineering and business outcomes. Work across insurance, payments, savings, investing and travel; translate regulatory and operational constraints into practical product decisions. Drive launch quality, post-launch learning, and continuous improvement while building a fast, measurement-driven product culture.

Develop and execute A1's global PR and communications strategy. Build media relationships, write and edit press materials, prepare executives for media, manage product launch communications, monitor coverage, and support crisis communications while working closely with product and leadership.

Responsible for building and maintaining Android applications with AI features. Focus on performance, UX design, and collaboration with backend and ML engineers.

Design interaction models for AI-driven products focusing on user interaction, feedback, micro-decisions, and creating prototypes for engineering handoff. Collaborate with teams to ensure usability and test designs with real users.

The Senior Machine Learning Engineer will build core ML systems, handle data preparation and iteration, debug model issues, and ensure reliable production performance while mentoring other engineers.

The Applied AI Engineer will develop and deploy AI features, enhance model performance, optimize systems for reliability, and collaborate with teams to address complex problems.

As a Technical Product Manager for AI Systems, you will define system requirements, collaborate with engineers, ensure product quality, and align AI capabilities with user needs.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.