Top AI Jobs in London

Build secure, scalable AI/ML platforms and applications to productionize research. Collaborate with AI researchers and data scientists, implement CI/CD and IaC, support experimentation environments, automate remediation, mentor junior engineers, and promote secure, responsible AI development practices.

Sell an AI-powered recruitment platform: prospect and engage clients, present product features, analyze territory and customers, meet sales targets, collaborate with marketing, and provide regular performance reports while maintaining client relationships.

As a Research Intern at Atla, you'll conduct machine learning research, contribute to product development, and output publications and datasets while collaborating with engineers on projects involving iterative model improvement and evaluation systems.

The Reserve Engineer provides technical support for robotic hardware, resolves hardware failures, and assists with robot deployments while ensuring excellent customer service.

Design, build, and maintain AI agents and automated workflows for marketing. Identify automation opportunities, deploy and monitor agents, integrate with marketing tools, and report efficiency and business impact. Ensure data quality, privacy, and documentation, and enable marketing teams to adopt automations.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

The role involves shaping data and AI strategies for financial institutions, guiding clients in harnessing AI for competitive advantage, and leading workshops to align stakeholders.

Lead global operating expense accounting under US GAAP, manage end-to-end close, deliver variance analysis, drive automation and standardization, and manage and develop a distributed accounting team while partnering cross-functionally on process governance.

Own outbound sales for a PropTech AI product: cold outreach, qualify leads, book discovery calls and demos, manage CRM activity, refine sales playbook, and scale into a full-cycle closing role.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Lead and advise on large-scale technology procurements, outsourcing, cloud/SaaS, AI and digital transformation projects. Draft and negotiate complex technology and commercial contracts, manage multi-stakeholder, multi-jurisdictional matters, supervise junior lawyers, build client relationships, and support business development and market engagement.

Leads AI engineering for Media UK&I by identifying high-value opportunities, translating business problems into scalable solutions, guiding prototyping through production, and building an AI engineering team. Establishes engineering standards, integrates solutions with enterprise platforms, and embeds responsible AI governance, testing, monitoring, security, privacy, and human oversight. Partners with media, product, data, technology, and operational teams to drive adoption and measurable business value.

Hands-on B2B marketing role for an enterprise AI company. Manage company and founder social channels, create and appear in short-form videos, develop content and campaigns for enterprise buyers, coordinate production and publication, organise customer-facing events, and work with Sales to drive account-focused campaigns and measure channel and event performance contributing to pipeline.

Provide legal advice and negotiate technology, outsourcing, cloud, data processing, and vendor agreements; ensure compliance with UK/EU GDPR, DORA, operational resilience, cybersecurity, and AI regulations; maintain templates and coordinate with subject-matter experts across international offices.

The Network Systems Engineer provides pre-sales technical support, architects networking solutions, conducts presentations, and leads RFP responses for Public Sector customers.

Lead the AI Engineering capability for dentsu Media UK&I by identifying, designing, building, governing, and scaling practical AI solutions across media workflows. The role manages and coaches AI engineering teams, translates business needs into solutions, establishes engineering standards, integrates platforms and data, and embeds responsible AI controls including testing, monitoring, security, privacy, and human oversight.

Design, train, fine-tune, and deploy production-grade LLMs and AI pipelines. Optimize inference for low-latency and high-throughput, implement quantization/caching/batching, build real-time pipelines (WebSockets/SSE), manage containerized deployments (Docker/Kubernetes), and collaborate with stakeholders to deliver scalable RAG, voice, and document-intelligence solutions.

The Brand and Digital Designer will create visual assets for branding and campaigns, focusing on both print and digital formats while collaborating with internal teams to maintain brand consistency and high visual standards.

Lead short-term AI adoption program: build internal AI champions, create usage policies and training, support teams implementing AI tools, contribute to internal AI tool builds, and ensure responsible, secure deployment across distributed teams.

Build end-to-end AI-first product features, design scalable APIs and frontends with React/TypeScript, integrate LLMs and AI agents, collaborate with founders and customers, and establish engineering culture and infrastructure.

Lead developer engagement for firmwide developer tools to drive safe, practical adoption of AI coding tools. Run demos, workshops, and enablement; create guidance, examples, and playbooks; gather feedback; partner with platform, risk, and engineering leaders to scale adoption across a regulated enterprise.

Support customer-facing AI initiatives by helping discover use cases, build demos and prototypes, configure and test conversational AI experiences, assist integrations with APIs and data sources, participate in workshops and presentations, and document outcomes while learning LLMs, RAG, and prompt design.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

As the Technical Director of AI Safety, you'll lead AI safety initiatives, oversee R&D, mentor teams, and drive innovations, representing Faculty in global AI safety discussions.

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