Top Tech Jobs & Startup Jobs in London

Design, build and deploy production-grade ML software and infrastructure. Create reusable, scalable ML solutions, lead technical scoping and architecture, collaborate with engineers, data scientists and stakeholders, and advise clients on operationalising models and best practices.

Design, build and deploy production-grade machine learning systems and infrastructure. Create reusable, scalable ML solutions, guide architecture and technical scoping, collaborate with cross-functional teams, and advise clients on ML feasibility, security, and best practices.

Support delivery of AI safety projects by managing workstreams, engaging stakeholders, performing open-source analysis, translating operational needs into user stories, designing and testing decision-support workflows, collaborating with engineering teams, and contributing to team strategy and capability development for government and frontier-model evaluation clients.

Lead design, development and deployment of production-grade ML systems. Architect scalable ML infrastructure, implement best practices, advise clients, mentor engineers, and collaborate cross-functionally to deliver responsible AI solutions.

Design, build, and deploy production-grade ML systems and reusable infrastructure. Collaborate with cross-functional teams, lead technical scoping and architecture, define deployment standards, and advise clients on ML feasibility and delivery.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

As a Software Engineer in the AI Platform team, you'll architect infrastructure for AI, maintain deployment and MLOps tools, and support diverse client environments.

Lead Machine Learning Engineer to oversee AI projects, guide technical direction, manage teams, and innovate in building scalable ML systems.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.