Top AI Jobs in London

As a Senior AI Engineer, you will develop AI solutions, integrate models, and collaborate with teams to explore emerging AI frameworks and technologies. Responsibilities include working on client projects, employing agile methodologies, and contributing to an innovative tech community.

The AI Product Manager will oversee AI implementation in Conversational Commerce, ensuring quality and safety in AI deployment while driving product strategy and evaluation metrics.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

The Principal Software Engineer will lead the design of GenAI solutions, collaborating with teams to enhance AI capabilities in drug discovery and clinical development.

Senior technical leader for EMEA pre-sales who advises C-suite on Data Cloud and Agentforce architecture. Leads workshops, proofs of concept, solution design, field enablement, and thought leadership to accelerate pipeline and mentor the Data & AI architect team.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

Conduct red teaming and adversarial evaluations of AI systems across violence, extremism, child safety, grooming, crisis, and other harm categories. Design evaluation frameworks, test scenarios, scoring criteria, taxonomies, and interventions that translate real-world harm expertise into structured technical outputs. Review model responses, exercise expert judgment, and produce methodology and findings for technical and government audiences while meeting ethical, legal, contractual, and data protection obligations.

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.

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.

As an AI Deployment Strategist, you'll design and deploy AI-powered planning solutions, interact with clients, and bridge between technical and product teams to drive AI adoption.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

This role invites interested candidates to express their interest for future opportunities, emphasizing exceptional talent and a collaborative team environment dedicated to AI advancements.

Own the end-to-end product lifecycle for Sustainable Investment (SI) data platforms: define roadmap; onboard and operationalize new data sources; lead migration from legacy systems to cloud/lakehouse/warehouse platforms; partner with engineering, operations, and commercial teams; and drive data quality, coverage, timeliness, and regulatory/client compliance.

Join the Data Science team to innovate solutions for data problems, develop forecasting models, and enhance quant strategies using machine learning.