Top AI Jobs in London

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Fogsphere seeks a PhD-level AI/ML Researcher to develop innovative solutions in deep learning and computer vision, leading research efforts and collaborating with engineers to implement ideas.

Register your interest in AI roles, highlighting your passion and experience in artificial intelligence and how it relates to solving real-world problems.

Develop and evaluate intelligent autonomous AI agents for B2B analytics, focusing on data exploration, task execution, and multi-agent ecosystems.

The Senior Software Engineer will develop and iterate on an AI adoption platform in a collaborative team, focusing on building features from scratch and addressing engineering challenges.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Apply generative models to real design briefs, evaluate and rank outputs, curate rights-cleared reference images, document quality gaps, and develop realistic use-case scenarios to guide model iteration for product and marketing contexts.

Architect and deliver scalable AI solutions for enterprise document workflows. Own end-to-end feature delivery, collaborate with product and customers, build extraction and automation systems, implement security and privacy by design, mentor engineers, and drive adoption of generative AI capabilities.

Technical presales role focused on designing, demonstrating, and positioning Copilot Studio AI solutions. Partner with sales and Microsoft teams to qualify opportunities, lead technical discovery, build demos/POCs, advise on orchestration, integrations, security and governance, and help develop repeatable AI offerings and enablement materials.

Own the technical relationship for UK enterprise customers: lead discovery, build AI skill packs and workflows, QA deliverables, create adoption playbooks, translate product features to customer value, write ROI-driven feature requests, and support pre-sales technical input.

As an AI Engineer, you will build and deploy AI models, design APIs, and develop infrastructure for scalable and reliable AI systems. You will work closely with cross-functional teams to operationalize AI models and ensure high performance in production environments.

As a Lead AI Engineer, you will design AI products for enterprise coding, collaborate cross-functionally, and lead AI feature development.

The Solution Architect will guide government clients in implementing AI solutions, support product development, mentor teams, and facilitate impactful strategies.

Design, build and embed AI-enabled finance workflows and digital workers, map and standardise acquisition data into NetSuite, automate reconciliations and billing, and collaborate cross-functionally to prototype and deploy scalable finance process improvements.

Lead development of AI-augmented internal tools for a 250+ designer/researcher org: prototype, build, and deploy full-stack web applications and AI integrations, define technical AI strategy, drive tool adoption, and partner across Design, Research, Ops, and Engineering to improve workflow quality, speed, and impact.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Design and fine-tune large-scale Vision-Language Models for tasks involving visual reasoning and 3D understanding, while collaborating on model adaptation and publishing research.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Responsible for designing and developing AI products, collaborating with cross-functional teams, and advancing AI capabilities in enterprise software development.

Design, build, deploy, and maintain scalable AI/ML pipelines and production models (including LLMs). Collaborate with data scientists and engineers to optimize model performance, latency, and cost on cloud platforms using MLOps practices, containerization, and CI/CD. Integrate AI capabilities into client and internal applications and monitor models in production.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.