Top AI Jobs in London

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

Lead AI solutions for financial services, identifying customer needs, driving innovation, and collaborating with teams to implement AI projects.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Lead the development of AI infrastructure and ML operations, ensuring compliance and scaling capabilities across Apex Group while collaborating cross-functionally.

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

As a Senior AI Platform Engineer, you will architect an AI Engine, design a production-grade Agent Runtime, and ensure reliable AI features for our financial platform.

The Internship Programme offers training in financial markets and allows interns to build tools, analyze data, and work with Quant teams on AI integration and trading strategies.

Lead and manage engineering teams, shape technical strategy, ensure high quality engineering standards, and promote AI adoption to drive innovation and operational excellence.

The role involves designing safety policies for audio AI, building automated systems, and ensuring compliance with global regulations. Duties include collaborating with engineering and operations to integrate safety measures effectively.

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

The Engineering Manager will lead AI-driven product evolution and development teams, ensuring operational health and strategic alignment while fostering talent and engineering excellence.

The Head of AI Innovation will lead external AI innovation, develop prototypes, integrate AI solutions, and oversee vendor collaboration and compliance.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

The Business Development Manager will sell sponsorship packages for Reuters' NEXT and AI Leadership events, engaging with senior business leaders and aligning their goals with strategic sponsorship solutions.

E.ON Next seeks a Senior Copywriter & AI Lead to develop brand copy, enforce guidelines, leverage AI tools for creative efficiency, and manage projects.

Design, build, and operate end-to-end production AI workflows integrated with internal systems. Implement orchestration, monitoring, and human-in-the-loop mechanisms; own model behaviour, evaluation, and continuous improvement; define and report decision-quality metrics; collaborate with Data Engineering on infrastructure, CI/CD, data pipelines, and governance; contribute standards and best practices to ensure reliable, auditable AI-driven outcomes.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

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

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 AI Automation Engineer designs and configures applications for customers, gathering requirements and offering technical support, while ensuring effective communication and engagement with clients.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.