Top AI Jobs in London

Lead the product strategy and development of AI-powered safety solutions. Manage the end-to-end product lifecycle focusing on safety outcomes using data from connected devices.

Lead the 3-5 year vision and roadmap for the Video-Based Safety platform, driving strategic AI/ML systems and cross-functional resource allocation efforts to achieve market leadership and impact.

The Applied AI ML Lead will design and develop AI solutions for data governance, collaborate with various teams to meet business needs, and maintain documentation of processes and models.

Develop ML products and AI Lenses for millions of users, focusing on image/video generation, AR experiences, and collaborating with cross-functional teams.

Develop ML products and AI-based experiences for Snapchat, focusing on image and video generation, collaborating with multiple teams to integrate models and gather feedback.

Develop and implement machine learning products and augmented reality experiences at Snap, focusing on image/video generation and integration of ML models.

The Solution Sales Executive will drive AI and data sales strategies, engage C-Suite clients, and exceed sales quotas by delivering business solutions and building partnerships.

Lead AI product strategy for banking operations, guide teams, manage product lifecycle, and collaborate with executive leaders on key initiatives.

The Senior AI Product Manager will define strategy and lead teams to develop AI solutions for bank operations, ensuring alignment and execution of product roadmaps.

The AI Implementation Manager will lead AI tool implementation, manage vendor relationships, ensure compliance, and uncover automation opportunities within customer service.

The role involves collaborating with customer Analytics teams, improving data architecture, refining ML algorithms, and providing ongoing technical expertise for customer success.

Lead AI research projects, develop algorithms for decision-making, collaborate with teams, and publish findings in prestigious conferences.

As an Associate Applied AI/ML Scientist, you will develop and implement machine learning solutions while collaborating with cross-functional teams to address complex business problems in banking.

As VP in Securities Services, lead AI/ML strategy development, oversee product management, collaborate across teams, and drive governance initiatives.

The role involves designing, developing, and deploying machine learning products for corporate and investment banking, collaborating with teams to solve operational challenges using AI and data science.

As a Senior Consultant, you'll work on proactive cyber security domains, providing expertise in SOC advisory, cloud security, and cyber risk management to enhance clients' security operations.

Collaborate with customers on data solutions, enhance product architecture, shape product strategy, and drive successful customer engagement.

The Engagement Associate will work on the Impact team, focusing on customer success and solution engineering to drive change and measure impact through the adoption of Sana's AI-driven learning solutions.

The Solutions Engineer will provide technical support during pre-sales and implementation, engage with clients, address complex issues, and improve processes.

The Procurement Manager for IT & Telecoms will manage sourcing projects, negotiate contracts, and support category strategies while promoting sustainability and collaboration with suppliers.

The Principal Architect will provide strategic direction for technology solutions, enhance efficiency, and collaborate with stakeholders to align technology and business strategies, focusing on CCRS and GSS.

Lead generative AI initiatives, ensuring smooth operation of LLM products, collaborating with cross-functional teams to drive innovation and scalable solutions.

Lead the development of advanced machine learning solutions, specializing in NLP and graph analytics, while driving collaboration and innovation across teams.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As an AI Engineer, you will shape Cloudflare's AI strategy by developing AI-powered applications, collaborating across teams to enhance developer tools, and building scalable AI solutions.