Top AI Jobs in London

As a Senior AI Engineer, you'll work on innovative AI solutions, leveraging generative AI frameworks, cloud environments, and collaborating with cross-functional teams to create prototypes and integrate models.

Register your interest in AI roles, highlighting your passion and experience in artificial intelligence and how it relates to solving real-world problems.

As a Software Engineering Lead, you will modernize the LexisNexis Classification product, managing a small agile team and implementing AI-driven features.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

Develop machine learning models for conversational AI and autonomous agents, focusing on system design, prompt optimization, and predictive modeling.

The Senior Product Manager will lead AI, analytics, and data initiatives, managing teams to build insights and infrastructure for global commerce.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

Develop and maintain generative AI software with Python, design robust APIs, collaborate with researchers, and enhance applications' performance and scalability.

As the Lead AI Product Manager at Zego, you will oversee the AI strategy, manage execution with cross-functional teams, and promote responsible AI practices.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

As an Applied AI Intern, you will support the deployment of AI applications, collaborate with teams on customer projects, and enhance product capabilities based on user feedback.

The role involves deploying AI products, managing customer relations, collaborating on complex projects, and ensuring successful product adoption. Requires deep knowledge of machine learning and experience with LLMs.

As a Full Stack Engineer at Miro, you will develop AI-powered features, collaborate with teams, and mentor other engineers to enhance user experiences.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

Design and build production applications for LLMs, manage evaluation and reliability metrics, and ensure performance and cost-effectiveness in a fast-paced environment.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

Recruiters are needed to hire top talent in AI and Web3/Crypto industries. Candidates should have technical hiring experience and excellent communication skills.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Tavus seeks an AI Researcher to advance multimodal conversational intelligence through research, modeling human behavior, and collaboration with the Applied ML team.

The Senior AI Researcher will lead research on multimodal models for conversational avatars, focusing on video, audio, and language processing, and collaborate with the Applied ML team.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

As an AI Engineer, you'll design, develop, and deploy advanced AI solutions focusing on NLP, LLMs, and Multi-Modal Generative AI, collaborating with teams to create scalable applications and ensure data quality and performance.

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