Top AI Engineer Jobs in London

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.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Solutions Architect guides sales teams by understanding customer needs, leading technical discussions, and demonstrating product capabilities, focusing on security and observability solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The role involves developing an AI compiler for NextSilicon's platforms, working hands-on in a collaborative team environment to achieve high-performance computing results.

Develop and optimize AI models in PyTorch for NPU architecture, analyze existing frameworks, and collaborate with the compiler team to enhance performance.

As a Senior Full Stack Engineer, you'll build AI agents and full-stack applications for a central GenAI Platform, ensuring secure and efficient deployment and validation of innovative solutions across healthcare and other industries.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

Develop APIs for AI inference, optimize LLM models, improve system reliability, and handle distributed real-time deployments.

Lead the development of computer vision systems for scene understanding, manage technologies, mentor engineers, and stay updated on AI trends.

Enable internal teams to design, build, and scale AI-powered automations using n8n, focusing on requirements discovery, workflow implementation, and lifecycle ownership.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

As a Senior Fullstack Engineer, you will develop and maintain web applications, ensure UI/UX best practices, manage CI/CD pipelines, and contribute to collaborative processes, while mentoring and iterating on technical solutions.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The role involves developing AI-driven solutions to enhance emergency call center efficiency, leveraging data, and collaborating with cross-functional teams.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.