Top AI Jobs in London

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Lead the design and sales of generative AI and data modernization solutions, engage C-level stakeholders, and drive customer lifecycles.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

The AI Product Engineer will design, prototype, and ship AI systems, quickly translate requirements into prototypes, resolve issues, and evaluate new AI models and frameworks.

The Front-End Engineer will design and deliver user interfaces for Neo4j’s Generative AI products, collaborating with teams and supporting GenAI features integration.

The AI Solution Architect will drive the adoption of AI solutions, partner with sales, guide customers in integration, and ensure successful project implementation, requiring strong technical skills and a customer-facing background.

Join Wiz's Data Protection team to enhance their privacy, data protection and AI compliance program, focusing on risk management and governance.

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

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

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.

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 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.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

As an AI Automation Engineer, you will engage with customers, lead implementation projects, design solutions on the Five9 platform, and provide consultative support. Requires strong technical skills in cloud computing, telephony, and customer engagement technologies.

The Senior AI Engineer will design, build, and deploy AI-driven solutions, collaborating with teams to enhance products using Generative AI technologies.

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.

The role involves owning AI/ML systems, leading the AI Engineering Pod, implementing backend solutions, and mentoring team members while ensuring system performance and compliance.

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.

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

The Managing Consultant will lead data science initiatives in financial services, develop client relationships, and drive business growth through innovative AI solutions.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.