Top Tech Jobs & Startup Jobs in London

As Technical Lead, you'll own ML system execution, manage data pipelines, model deployment, and ensure performance under real-world conditions while collaborating with the team.

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

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

As a UX Engineer, you'll build AI interfaces, prototype new interaction patterns, and ensure usability in AI-driven products while collaborating with design and ML teams.

The Head of Engineering will drive execution, structure workflows, ensure reliable delivery of engineering projects, and build a high-performing global engineering team.

The Recruiting Coordinator supports high-volume hiring, ensuring structured operations, coordinating interviews, maintaining ATS accuracy, and drafting offer letters while collaborating with recruiters and hiring managers globally.

Design end-to-end user experiences for AI products, create interaction patterns for workflows, and produce wireframes and prototypes.

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 Senior Recruiter will lead hiring for software engineering roles, source talent, improve recruiting processes, and engage with stakeholders.