Top AI Jobs in London

Design, build, and deploy production-grade ML models and recommendation systems, champion LLM use, optimise search and ranking, run A/B tests and statistical evaluations, and collaborate with engineering to integrate models into product infrastructure.

Lead the QA strategy and execution, focusing on automation and AI to improve quality in testing. Manage a QA team, ensuring effective communication and quality enhancement across products.

As a Software Engineer at Landytech, you will develop and maintain APIs for financial metrics, optimize systems, and collaborate with the team on scalable data solutions.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

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.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

The Senior AI Researcher will lead the development of AI models for physics applications, ensuring models transition from research to production while maintaining high performance and physical validity.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

The Product Design Director leads a design team focusing on building AI-powered customer service solutions, raising design standards and executing innovative products through collaboration with product and engineering teams.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

The AI Engineer will develop the AI infrastructure, build approval workflows, and create intelligent collections agents, ensuring product reliability and customer satisfaction.

The Senior Python Engineer will design and implement features for data science applications, mentor junior engineers, and ensure system architecture aligns with best practices in a SaaS environment.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.

The Senior Product Manager for AI Observability will develop and implement telemetry systems to monitor and analyze AI model performance, collaborating cross-functionally to ensure reliable AI governance and optimization.

In this pre-sales role, you will leverage AI and NLP expertise to design solutions for clients, coordinate with teams, present customer proposals, and ensure successful project implementation.

Serve as the domain authority for a specific industry vertical to identify high-value AI use cases, engage customers, lead small cross-functional squads, translate industry needs into product requirements, drive product development through launch, and create go-to-market and pricing strategies to support sales and adoption.

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

The AI Engineer will design and build LLM-powered agents and workflows for logistics optimization, focusing on fullstack development and infrastructure ownership.

Senior Azure AI Engineer working in an agile AI squad to design, develop and deploy Azure-based AI solutions — including assistants, copilots, retrieval/RAG systems, cloud-native applications, integrations, security/governance, testing and optimisation — collaborating with analysts, architects and delivery teams to deliver business outcomes.