Top AI Jobs in London

Lead technical teams in designing AI solutions for financial services, focusing on architecture, integration, and customer engagement, while maintaining project quality and client satisfaction.

The AI Engineer will implement generative AI solutions for financial services, optimize call center AI agents, and develop workflows for financial document processing.

As an AI Solutions Architect, you will design and deploy innovative AI solutions leveraging graph databases and collaborate with customers to address complex data challenges.

The AI Platform Engineer will enhance developer productivity by implementing AI-driven automation, improving coding practices, and fostering AI adoption within the engineering team.

The AI Engineer will design and implement AI models, enhance AI services, collaborate with multidisciplinary teams, and mentor peers, focusing on delivering high-quality customer experiences.

As a Senior AI Engineer, you will drive AI initiatives, develop scalable AI solutions, and enhance client products using Generative AI while ensuring compliance and optimal performance.

As a Senior AI Engineer, you will enhance operations and client-facing products using Generative AI, managing the full AI lifecycle from proof of concept to deployment and evaluation while collaborating across teams to create scalable AI solutions.

Design, develop, and deploy AI agent systems, collaborate with teams for client solutions, and stay updated on AI advancements.

Design and implement services for an inference platform, focusing on high-throughput and low-latency workloads while optimizing performance through cutting-edge technologies.

In this role, you'll ensure the reliability and performance of the AI Studio inference platform, involving extensive work with telemetry pipelines, Kubernetes, and resilience in infrastructure design.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

The AI Creative Technologist will innovate, develop, and prototype AI-driven creative solutions while collaborating with cross-functional teams to merge storytelling and technology.

Develop and implement scalable AI solutions, manage ML models, support R&D for model training and deployment, and facilitate communication between stakeholders.

The role involves developing a low-code/no-code platform using Python and Vue.js, enforcing best practices, and integrating AI features.

We are looking for a Fullstack Developer with experience in web projects, LLMs, and AI integration. The role involves collaboration on innovative projects, creativity, and adaptability in problem-solving.

As an AI Automation Engineer, you'll build tools to streamline workflows by collaborating with various business units, using AI and automation technologies, while operating independently to deploy solutions directly to users.

As a Senior AI Engineer, you will develop AI products, conduct research, and ensure production readiness in a fast-paced technical environment.

Join Lawhive as a Senior AI Research Engineer to develop LLM-based AI solutions, optimize workflows, and translate research into practical applications.

The Applied AI Engineer will onboard clients and ensure successful deployment of AI products, collaborating with teams to address customer needs and challenges.

As an AI Scientist, you will develop and evaluate novel AI models and methodologies, working collaboratively with cross-functional teams to enhance our AI applications.

Lead the development and deployment of AI/ML solutions in life sciences. Oversee projects, mentor team members, and engage with clients on AI strategies.

The AI Transformation Lead drives client AI transformation initiatives, ensuring effective strategies while enhancing operational efficiency and customer experience through strong stakeholder collaboration.

Responsible for designing, implementing, and deploying AI solutions, collaborating with teams, and ensuring alignment of AI strategies with client goals.

As an AI Solutions and DevOps Engineer, you will develop AI-powered solutions, design intelligent agents, and collaborate with teams to meet client needs in various cloud environments.

Create engaging marketing videos for AI productivity software, leveraging existing materials and current social media trends to drive brand engagement.