Top AI Jobs in London

You will design and operate scalable AI infrastructure, build self-service tools, and improve observability for AI workloads, supporting rapid development cycles and reducing compute costs.

Lead AI/ML and cloud solutions as a Senior Solution Architect, managing cloud operations and implementing AI/ML systems for BFSI clients.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

As a Senior AI Engineer, you will develop advanced AI solutions, mentor junior staff, and ensure responsible AI practices in a collaborative environment.

The Senior Backend Engineer will focus on voice cloning, text-to-speech technology, and optimizing infrastructure with cloud services. Responsibilities include backend development and deploying applications on Kubernetes.

The Principal AI Engineer is responsible for designing, developing, and delivering advanced software solutions with a focus on AI technologies, ensuring scalability and security.

The Performance Modelling Engineer will create analytical models, design simulators, analyze workloads, and provide data-driven recommendations for design spaces in an AI-focused optical computing company.

The Senior Performance Modelling Engineer designs and builds analytical models for an optical compute system, collaborating with hardware and software teams to enhance performance and guide architecture decisions.

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 Technical Talent Partner, you will build teams by implementing talent acquisition strategies, champion diversity, and foster a collaborative culture, driving organisational growth for Isomorphic Labs.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

Seeking Founding Engineers for an AI startup to shape product offerings, build a scalable platform, and define engineering culture and strategy from the ground up. Ideal candidates should be Full-Stack Product Engineers with startup experience and a passion for AI.

As a Senior Applied AI Engineer, you will design and implement AI tools, automate processes, and collaborate with teams to enhance decision-making and operational efficiency. You'll build integrations with AI platforms and help educate teams on best practices in applied AI.

Lead the architecture and management of AI and data platforms, driving product strategy and ensuring alignment with business goals while overseeing technical product development and delivery.

This role involves developing AI-driven solutions for visual content, supporting image/video generation, model training, and workflow collaboration in CGI.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Research Analyst will conduct market analysis in AI and computing technologies, provide strategic insights, and engage with industry leaders.

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.

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

As a Senior Manager in AI Safety, you'll oversee AI safety evaluations, build relationships with clients, and develop strategy proposals while mentoring team members.

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 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.