Top AI Jobs in London

As a Senior AI/ML Architect, you'll design and implement scalable ML solutions, guide clients from concept to production, and work alongside technical leaders.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.

The Senior AI Engineer will design, build, and deploy AI-driven solutions, collaborating with teams to enhance products using Generative AI technologies.

As an AI Engineer, you'll enhance IT platforms by building secure AI orchestration systems, designing autonomous agents, and fostering AI fluency within the organization.

The AI Engineer - FDE role involves developing and deploying GenAI applications, collaborating with cross-functional teams, and advising customers while presenting thought leadership in the field.

Lead the development of AI models for drug discovery, optimize performance, collaborate across teams, and drive innovation in healthcare.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

Hunt new-logo enterprise accounts for Loops CX and OEM channels, build pipeline, lead consultative executive-level selling, close complex $500k+ ACV deals, manage opportunities in HubSpot, and partner with customer success to ensure deployment and adoption.

Lead adoption of AI across product and operations: deliver AI features, build reusable LLM services and tooling, automate workflows, establish governance and monitoring, and grow a small AI team to embed measurable, secure AI capabilities across the company.

Design, implement, and optimize AI/LLM workflows and infrastructure. Collaborate across teams to integrate models into production, document best practices, and optimize performance and costs.

Support rollout of an AI-native employee benefits product: perform document analysis and extraction, implement platform for enterprise clients, collaborate with product and engineering, explore AI tools, and contribute product improvements for benefits administrators.

Support client use of the BlueFlame AI platform by resolving production support requests, onboarding customers, providing training and documentation, collaborating with engineering and Client Success teams, and maintaining strong client relationships.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Build and maintain the firm's core AI/ML platform, develop and deploy GenAI/ML applications and agents, partner with research/trading/ops stakeholders, monitor applied AI advances, and drive adoption of AI tools across the business.

As a Senior AI Data Scientist, you will design and develop AI-driven tools for market research, analyze data, and collaborate with cross-functional teams.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The AI Automation Engineer will design and deploy intelligent systems to automate business processes, improve operational efficiency, and integrate various APIs. Responsibilities include analyzing workflows, building AI-powered solutions, and ensuring reliability through systematic approaches.

Design end-to-end AI experiences for consumer and enterprise products: research opportunity areas, prototype agent behaviour/personality, craft UI/UX and brand-aligned visual expression, and work with engineering to build testable, trustworthy AI solutions.

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

As an Engineering Intern in the Web3 and AI team, you will write production-grade code, leverage AI, rapidly prototype solutions, and contribute to full-stack development while gaining hands-on experience in a fintech environment.

As an Operations AI Associate, you will build frameworks, tackle challenges, collaborate with teams to drive projects, and leverage data for impactful solutions.

The AI Engineer role involves developing and deploying AI applications, particularly using NLP and LLMs, collaborating with various teams, and optimizing AI model performance through metrics-driven approaches.

Lead technology strategy for AI and Generative AI, develop architectural solutions, ensure system integration, and promote AI innovation across teams.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.