Top AI Jobs in London

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The Senior Product Manager will design and own the AI evaluation framework, ensuring accuracy and reliability of AI interactions across data and analytics products. Responsibilities include establishing evaluation criteria, leading test automation efforts, and collaborating with cross-functional teams to enhance AI governance.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

The Senior Software Engineer will enhance the reliability of AI systems, implement monitoring frameworks, manage failover systems, and lead incident responses, focusing on serving infrastructures for large language models.

As a Forward Deployed Engineer, you will work with customers to build AI applications, provide deployment support, and identify new AI opportunities while ensuring high standards. You'll collaborate with teams, travel to client sites, and maintain knowledge of LLM developments.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Join WorldQuant as an AI Researcher to develop innovative quantitative models using AI and LLMs, analyzing financial datasets and collaborating with development teams.

As a Staff Product Designer, the role involves shaping the future of AI-driven products, defining innovative solutions for customer engagement, and influencing strategic initiatives at scale across various domains. The designer will prototype, collaborate with stakeholders, and craft narratives aligning with product vision and market needs.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

Lead the vision, roadmap, and priorities for observability services in Nebius Cloud, managing backlogs and coordinating company-wide initiatives.

The Senior Software Engineer will develop and maintain developer tools for game content creation, collaborate with teams, and ensure high-quality tooling practices.

The AI Outcomes Manager will engage with executive sponsors, provide strategic consultations, conduct workshops, and identify AI deployment opportunities.

Seeking a Front-End Engineer to lead UI architectural evolution, design component libraries, ensure performance, and guide technical leadership in a rapidly growing team.

As a Senior Product Analyst in the AI Tribe, you'll analyze transaction data, run experiments, and communicate findings. You will improve data systems, enrich transaction data, and utilize AI tools.

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.