Top AI Jobs in London

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

The AI Enablement Intern at Providence will support AI solutions for investment teams, build workflows, drive adoption, and improve decision-making across portfolio companies.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

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

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures, curate massive datasets, run distributed training on multi-node GPU clusters, optimize model efficiency and alignment, debug long training runs, and scale distributed training systems to improve cross-modal performance.

The AI Research Engineer will research and develop novel model architectures, adapt open-source models, and contribute to the technical strategy and culture of the team.

The role requires working closely with customers to design AI-powered solutions, translating business problems into technical plans, and leading solution implementation.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

As a Senior Software Engineer I, you'll design, develop, and deliver the Axon Alerts platform, ensuring timely notifications and operational excellence while mentoring junior engineers.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

The Managing Consultant will develop AI-driven transformation strategies for financial services, overseeing client engagements and business development while leveraging industry connections and expertise.

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

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

Lead development of production-grade agentic and LLM-powered systems: identify high-value AI opportunities, turn POCs into live agents, design resilient infrastructure and governance, build shared frameworks, and train teams to safely scale AI across the product.

Lead the technical architecture and integration of enterprise-grade AI platforms (semantic search, RAG, generative/agentic systems), embed Responsible AI governance, manage risk/value trade-offs, enable zero-dependency handover through capability uplift, and design energy-efficient AI infrastructure across legacy and multi-cloud environments.

Design and build application-level AI features: implement RAG pipelines, prompt templates, retrieval strategies, and agentic workflows; integrate LLM-based functionality with legacy and multi-cloud systems; run structured evaluations, apply human-in-the-loop guardrails, and produce docs-as-code for handover to government engineers.

Hands-on Lead AI Engineer to design, build, and operate production-grade RAG, semantic search, embedding, and LLM orchestration systems in a UK government programme. Mentor engineers, implement Responsible AI guardrails, ensure security/observability, and enable capability transfer using Docs-as-Code and iterative delivery.

As a Software Engineer for AI Product at Figma, you'll build collaborative tools, lead AI projects, and work cross-functionally to enhance design accessibility and usability.