Top AI Jobs in London

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The role involves planning and executing content around debt consolidation, creating a structured library, monitoring AI search tools, and providing insights for marketing collaboration.

The Partner Marketing Manager will oversee the end-to-end partner marketing efforts, build relationships with technology partners, execute joint campaigns, and develop marketing frameworks to enhance pipeline growth.

As an AI Product Manager, lead AI feature development, define success metrics, and collaborate on technical architecture in a financial environment.

As a Forward Deployed AI Engineer, you'll design and deploy AI solutions for enterprise customers, integrating with their systems and ensuring successful adoption. You'll lead custom AI projects from prototyping to deployment, collaborating with various teams to meet customer needs.

The AI Deployment Engineer partners with customers to integrate OpenAI's coding tools into their development workflows, focusing on prototyping and scalable solutions while providing technical guidance and training.

The AI Engineer will focus on the lifecycle of production-grade AI, managing model training, fine-tuning, inference optimization, and production engineering, while collaborating with stakeholders to implement business requirements.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

The Senior AI Enablement Consultant will lead AI initiatives within the company and for clients, focusing on enhancing productivity through AI training and automation. Responsibilities include user discovery, training development, automation building, and managing AI engagements across departments and customer engagements.

As an AI Consultant, you'll analyze data, develop AI models, guide junior analysts, and communicate results, focusing on innovative solutions and predictive modeling.

As a Pre-Sales architect, you'll advise enterprise customers on integrating Claude AI, overseeing technical solutions from discovery to deployment, while collaborating with multiple teams.

As an Associate Product Manager, you will support the Physical AI platform's development by collaborating with teams, conducting customer interviews, and driving product initiatives.

Lead AI and automation transformation initiatives in Finance by developing scalable data solutions, collaborating across teams, and applying emerging technologies for business impact.

The AI Knowledge Architect will lead AI knowledge systems at Euromonitor, govern AI tools, establish frameworks, and drive cultural change towards AI capability.

As an AI Engineer, you will architect, develop, and deploy scalable AI applications, collaborating with teams to implement AI solutions that drive enterprise productivity and innovation.

This role involves collaborating with AI sales, providing expertise in AI technology, advocating for customers, and educating teams on AI applications and security.

The Account Executive will establish and scale the market presence in Austria, acquiring customers, managing success efforts and owning the full sales cycle.

Design, build, and deploy production-ready AI algorithms and high-scale evaluation pipelines focused on LLMs and patent generation. Implement advanced prompt engineering, translate research into product across the stack (Python, Postgres, React/TypeScript), and benchmark models to drive R&D decisions.

Provide hands-on, in-person AI coaching and support to employees. Deliver micro-training, host office hours, troubleshoot Copilot/Gemini/Claude usage, promote adoption, monitor usage, gather feedback, and teach responsible AI practices to ensure secure, effective tool integration into daily tasks.

Support development and implementation of AI governance frameworks, manage AI use-case intake and risk assessments, drive governance tooling adoption, produce reporting and guidance, monitor regulatory developments, and engage stakeholders to embed practical controls for safe AI use.

Support operationalisation of safe and responsible AI across the organisation by implementing governance frameworks, assessing AI use cases, managing intake and risk assessments, reporting on AI usage and risks, maintaining regulatory awareness, and engaging stakeholders to embed practical controls and tooling.

Lead martech and agentic AI systems for marketing: define production-ready agents, build and manage the team, deliver AI-driven workflows for lead scoring, enrichment, prospection, orchestration and attribution, cut tool cost, own vendor decisions and observability, and report measurable pipeline and revenue impact to exec and board.

Develop, fine-tune, deploy, and monitor generative AI models; contribute to prompt engineering, RAG and hybrid search workflows; perform data preprocessing, feature engineering, API development; collaborate on integration, testing, code reviews, documentation, and ensure AI compliance and responsible-AI practices.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.