Top AI Jobs in London

The role involves driving new business growth through AI transformations, building senior client relationships, and leading consultative sales for AI solutions across various sectors.

The Business Development Director will lead financial services growth, manage senior client relationships, and execute a business strategy focused on AI solutions.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Threat Researcher (AI) will conduct in-depth research on risks in cloud and AI environments, collaborating with teams to develop capabilities to mitigate these risks.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.

The Senior Software Engineer will design and implement AI solutions, develop full-stack applications, and lead projects within the AI Team, focusing on high-impact contributions and collaboration.

As a Senior AI Engineer, you'll architect and scale advanced AI systems, lead model design and deployment, and mentor engineers, driving innovation in the insurance industry.

This role involves building and scaling Lendable's internal automation platform, collaborating with teams to optimize workflows, and driving AI adoption across the organization.

The role involves sourcing engineering talent, focusing on AI expertise, and hitting sales targets while collaborating with experienced industry veterans.

As an AI Recruiter Trainee at Sxaler, you will undergo intensive training in talent acquisition, focusing on building a candidate network and eventually expanding into client development, all while meeting sales targets.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

The Senior Product Manager will drive AI-powered solutions, own the product roadmap, and collaborate with teams to deliver impactful products.

Define and execute product strategy for consumer AI tools, leveraging market insights and user needs to drive product development and collaboration across teams.

The Product Manager will lead the development of AI-driven learning solutions, ensuring market fit, engaging clients, and integrating educational theory with cutting-edge technology.

As a Sales Engineer at HockeyStack, you will create demos, build POCs, engage with customers, and apply the MEDDICC framework to solve marketing and sales challenges in a fast-paced environment.

The Pre-Sales AI Director partners with enterprise customers to develop AI transformation roadmaps and scope pilot engagements, focusing on high-value AI use cases and aligning customer needs with technical capabilities.

Support the Head of UK & EMEA in AI-driven workflow design, marketing operations, and project management, combining technical skills with team support.

As an AI Engineer, you will build and deploy AI models, design APIs, and develop infrastructure for scalable and reliable AI systems. You will work closely with cross-functional teams to operationalize AI models and ensure high performance in production environments.

Design and implement AI features using prompt engineering and LLMs, assess LLM systems, and integrate models into production with a TypeScript backend.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.