Top AI Jobs in London

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 Staff AI Product Designer will shape AI capabilities and behavior within user workflows, creating reliable and valuable AI experiences, while also focusing on quality and reliability of AI systems and their integration with human users.

As a Senior AI Product Manager, you'll lead AI product vision and strategy, collaborate with technical teams, and drive customer-centric product development.

The AI Engineer designs and implements AI solutions, transforms business requirements into AI assistants, and ensures integration with existing systems while supporting data processing and monitoring.

The AI Business Analyst identifies AI opportunities, collaborates with stakeholders to shape AI use cases, and ensures successful implementation while prioritizing initiatives and measuring their impact.

Lead and mentor AI/ML engineering teams to design, build, deploy, and monitor production ML and LLM solutions. Collaborate with clients and cross-functional teams, define project scope, ensure model governance and responsible AI, implement MLOps/CI-CD pipelines, and continuously evaluate and improve model performance.

Lead strategic engagements to accelerate adoption of Genesys AI and Experience Orchestration. Advise C-level stakeholders, shape AI use cases, run customer workshops, support sales enablement, pricing, proposals, and pilots, and partner cross-functionally to drive measurable AI-powered customer experience outcomes.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

As a Senior AI Research Scientist, you will lead AI research in LLM, MLLM, and computer vision, developing models and algorithms for real-world applications, while mentoring junior scientists and contributing to publications.

The AI Engineer - FDE develops GenAI solutions, deploys machine learning applications, advises customers, and collaborates within teams to influence product strategy.

You will optimize algorithms, evaluate third-party technologies, and assume ownership of existing code while transitioning to a research-oriented role. A strong academic background in mathematics or engineering is required, with proven programming skills.

The Data Management Lead will oversee data management initiatives for AI transformation, focusing on data quality, governance, and stakeholder engagement while collaborating with various teams.

As the first full-time engineer, you'll transform a prototype into a SaaS by developing backends, designing user interfaces, and implementing security standards.

The Staff AI Engineer will lead the technical direction for a platform managing financial service agents, tackling complex AI challenges and ensuring policy compliance.

Develop and scale systems for robot navigation in dynamic environments, design advanced learning models, and prototype code for real-world applications.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

The AI Deployment Strategist will drive the adoption of Mistral's AI solutions in cybersecurity, collaborating with executives, designing AI roadmaps, and ensuring successful deployment and customer success in securing digital assets.

The AI Enablement Specialist will drive AI tool adoption, provide training and support, evaluate AI tools, and engage with teams to integrate AI into workflows.

Lead and mentor a team of AI/ML Engineers, developing production-grade AI solutions that extract value from structured and unstructured data, with a focus on customer-centric performance.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.

Lead independent research on LLM evaluation, alignment, and synthetic data generation. Design and run rigorous experiments, build scalable evaluation frameworks and research infrastructure, apply fine-tuning and model optimization techniques, publish and open-source work, and collaborate with engineers and product teams to translate research into production-ready tools.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.