Top AI Jobs in London

The role involves embedding in enterprise accounts to solve procurement problems using AI, managing customer relationships, and developing AI agent solutions.

As a Lead Backend Engineer, you will design scalable services, architect systems, and mentor engineers in a fast-growing AI startup.

The role involves leading Microsoft Cloud and AI transformations for UK enterprise clients, focusing on strategic consulting, technical leadership, and business development. Responsibilities include advising on technology solutions, engaging with C-suite executives, and guiding project delivery for diverse industries like financial services and retail.

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

This role involves leading the development and implementation of AI and legal tech strategies, improving knowledge management, and collaborating with various teams to enhance legal service delivery.

Oversee the end-to-end operation and governance of an AI platform, ensuring alignment with enterprise architecture and compliance regulations.

As a Conversational AI Engineer, you will build and maintain AI systems to enhance customer experiences while growing your skills under senior guidance.

Create visual content and develop AI-generated videos for digital and social media. Collaborate with teams to enhance visual storytelling and branding.

Lead the strategy and development of scalable HR data and AI platform capabilities, partnering with cross-functional teams to enhance data architecture and predictive modeling capabilities.

As an Associate AI Deployment Strategist, you'll support the adoption of Mistral's AI solutions by designing roadmaps, collaborating with teams, and aiding customer success in a client-facing role.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Drive end-to-end research and engineering on vision-language and multimodal models: data curation, training pipelines, post-training workflows (fine-tuning, distillation, RLHF), efficiency and deployment optimizations, distributed GPU training, evaluation frameworks, and publishing research.

Lead identification, design, build, and adoption of AI-driven automations and internal tooling across GTM, product, finance, ops, and engineering. Partner with functional leads, prototype code-first workflows and low-code automations, work closely with engineers to improve developer productivity, and maintain internal knowledge systems for compounding value.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

Lead and advise clients across UK and Europe on applied AI: identify and prioritise high-value use cases, design and run POCs, translate AI into commercial impact, guide engineering to production, support business development, manage distributed teams, and ensure responsible, scalable AI and data foundations.

Lead identification, prioritisation, rollout and adoption of AI use cases across the organisation. Translate problems into measurable use cases, partner with delivery, governance and stakeholders, track outcomes, and drive practical governance and adoption to realise measurable value.

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

The role involves overseeing web content strategy, leading SEO and AI-driven search strategies, enhancing brand authority, ensuring cross-functional alignment, and providing governance in content practices.

Design and deliver AI, data science, and advanced analytics solutions on Microsoft Azure. Lead projects from discovery through production, run consultative workshops, manage stakeholders, support presales, mentor colleagues, and contribute to internal and external AI communities. Emphasis on LLMs, Databricks, MLOps, responsible AI, and Azure data services. Client-facing role with occasional travel.

Lead AI adoption across Retirement Solutions & Asset Management by defining roadmap, prioritising use cases, driving production deployment, and embedding governance, risk and ethical controls. Act as business manager and primary interface between engineering, data and business teams to translate strategy into measurable outcomes and support strategic and tactical delivery across Engineering & Transformation.

Build production AI systems for legal workflows: agents that edit DOCX documents, perform grounded search and retrieval with citations, run iterative research workflows, and fine-tune models. Ship end-to-end features across editor, retrieval, and dashboard surfaces while ensuring correctness, collaboration support, and reliable agent behavior in production.

Lead product vision and roadmap for Investor Services platform initiatives, driving strategy, OKRs, stakeholder engagement and client adoption. Combine technical depth (prototyping in Java/React/Python, evaluating LLM architectures, agentic workflows) with end-to-end program delivery including data migration, integration, testing, and regulatory compliance.

Own production lifecycle and hands-on builds for AI tools used by Sales; design signal-triggered agentic workflows; maintain CRM and semantic data quality; run backlog and vendor adoption; field intake and support; measure adoption and attribute AI usage to pipeline outcomes; coordinate across Sales, Marketing Operations, and Customer Success.

Own and modernise internal IT operations and tooling; design and integrate SaaS and AI tools; build and govern internal AI agents; run company IT support and MDM; manage SaaS estate, licensing, procurement and vendor relationships; own identity and access management and drive automation to reduce manual work.

The Senior Manager will oversee Data, Analytics, and AI risk management, ensuring compliance and effective governance while reporting to senior management. Responsibilities include risk assessment, building controls, and fostering stakeholder relationships.