Top AI Jobs in London

The Principal AI Solutions Architect will design and architect AI solutions for Anaplan, focusing on GenAI, agentic AI, and seamless integration with planning platforms. Responsibilities include overseeing architectural strategies, developing A2A frameworks, and collaborating with engineering teams to implement AI solutions.

As a Software Engineering Lead, you will modernize the LexisNexis Classification product, managing a small agile team and implementing AI-driven features.

Develop and maintain backend systems for financial solutions, focusing on clean code and agile methodologies like TDD and DDD.

As an AI engineer, you will develop and deploy AI systems, collaborate with teams on technical requirements, and ensure the ethical use of AI technology.

The Customer AI Architect partners with enterprise clients to identify AI use cases, architect solutions, and drive the adoption of WRITER's platform to improve business results.

Develop scalable generative AI applications, integrate AI models, optimize APIs, and ensure code quality while collaborating with cross-functional teams.

Design and implement AI conversational experiences for Skyscanner. Collaborate with teams, analyze user interactions, and stay updated on AI trends.

The Senior Product Manager will design and own the AI evaluation framework, ensuring accuracy and reliability of AI interactions across data and analytics products. Responsibilities include establishing evaluation criteria, leading test automation efforts, and collaborating with cross-functional teams to enhance AI governance.

The Senior Product Manager for AI Observability will develop and implement telemetry systems to monitor and analyze AI model performance, collaborating cross-functionally to ensure reliable AI governance and optimization.

The Senior Software Engineer AI will develop AI-driven solutions for document automation, lead technical AI initiatives, optimize AI performance, and collaborate across disciplines to enhance AI capabilities.

As a Software Engineer - AI, you will develop AI-driven software, prepare datasets, implement performance metrics, and participate in agile development processes.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

As Marketing Lead (AI Systems), you'll design scalable marketing systems using AI, manage marketing execution, and collaborate with teams to enhance strategies.

The Lead AI Engineer will architect AI systems, build backend services in Python, optimize models using real user data, mentor a team, and advise on product features.

The AI Solutions Specialist will lead AI workshops, deliver tailored demos, and guide clients through AI transformation while collaborating with Microsoft.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

As an AI Engineer, you'll design and deploy scalable AI solutions, integrate large language models, and mentor teams on AI-assisted development, while engaging in client consulting and continuous learning in AI trends.

You will build and ship core systems for Symbolica's AI products, focusing on Python-based solutions across SDK, APIs, and integrations, and collaborating with ML researchers.

As an AI Architect, you will design cloud architectures for machine learning and analytics projects, providing pre-sales technical leadership while mentoring and collaborating with teams to deliver innovative solutions.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

The AI Platform Architect will design and implement AI and data platform solutions on Google Cloud, manage containerized applications, optimise data workflows, and collaborate on security and compliance requirements.

The role involves advising clients on accounting processes and technology, emphasizing financial reporting transformation and collaboration with senior finance leaders.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

Lead a senior team in building AI infrastructure, contribute to production code, manage project roadmaps, and support ML scientists and engineers.

The Solution Consultant will advise clients on DeepL's solutions, guide sales cycles, conduct technical evaluations, and support client adoption while collaborating with sales teams and influencing product development.