Top AI Jobs in London

Lead a senior team in building AI infrastructure, contribute to production code, manage project roadmaps, and support ML scientists and engineers.

Research Scientist at Google DeepMind focusing on AI for weather forecasting. Responsibilities include developing ML algorithms, collaborating with engineers, and presenting research findings.

The Director will lead the assessment and piloting of emerging technologies, particularly AI, and drive their adoption across the organization while fostering a culture of innovation.

The role involves leading Data and AI products, engaging with executives, owning transformation outcomes, and driving new business in complex organizations.

The role focuses on modernizing legacy services using AI, improving delivery speed, and building AI-powered development infrastructure. Responsibilities include coding, implementing CI/CD pipelines, and training teams on AI workflows.

The role involves building client relationships, showcasing Databricks solutions, supporting customers with technical solutions, and developing into a Solutions Architect role.

The role involves delivering technical solutions as a Pre-sales Senior Technical Solutions Engineer at Databricks, focusing on Data and AI. Responsibilities include building client relationships, providing technical evaluations, developing solutions, and contributing to the technical community.

Lead a team of engineers in developing AI-based workflows on a central platform for translation and voice products. Responsible for strategy, execution, stakeholder management, and people leadership.

The Senior AI Software Engineer will build AI integrations, support internal teams with AI tools, and deliver measurable impact through automation and efficiency improvements.

The AI Specialist, Customer Success ensures customers achieve business outcomes using Zendesk's AI solutions by driving adoption, managing health, advocating for clients, and collaborating with internal teams.

Lead and develop the Solutions Consulting team, oversee complex sales cycles, drive customer engagement, and ensure adoption of the new Agentic AI product.

Design and deploy generative AI solutions, collaborate with experts, and drive scalability of offerings using LLMs for industrial customers.

Lead the product design team to create innovative user experiences for an AI-based platform, conducting research and defining design vision.

The role involves managing data management, AI, and analytics audits, providing advisory services, developing governance frameworks, and driving business growth in financial services.

The AI Data Engineer designs and builds scalable data pipelines, integrates AI services, and ensures data readiness for advanced analytics across Convatec's Azure ecosystem, collaborating with AI Engineers and Data Scientists.

Lead the transformation of multilingual content operations by managing in-house linguists and AI-based solutions for high-quality translation and localization.

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

As an AI Engineer at Elixirr, you will design and implement AI systems, collaborate with teams, drive innovation, and deliver impactful AI solutions.

The Internal Communications Manager will handle communication strategies, shape narratives, engage audiences within Science and Frontier-AI Units, and support leadership in promoting important updates and culture change.

Develop and implement AI features for the construction industry, work with LLMs, and collaborate across teams to enhance product offerings.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Analyze AI bot traffic, define KPIs, build dashboards, support content licensing, track AI partner performance, and evaluate monetization strategies.

The Senior Backend Engineer will focus on voice cloning, text-to-speech technology, and optimizing infrastructure with cloud services. Responsibilities include backend development and deploying applications on Kubernetes.

As an AI Engineer, you'll design and maintain AI frameworks, operate RAG pipelines, integrate AI components, and collaborate with teams to deliver solutions.