Top AI Jobs in London

Lead customer discovery, design, and implementation of AI solutions in Miro (agents, templates, summarization, GPT integrations). Advise on architecture, data privacy, APIs, and model monitoring; enable customers and partner with Product, Engineering, and Customer Success to drive adoption and scalable AI deployments.

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

Staff Product Engineers in the AI Group build AI-powered products, collaborate with ML scientists, and ensure robust, scalable systems for customer service applications.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

The Senior Data & AI Consultant will deliver enterprise-level solutions in AI, Data Science, and Machine Learning, engaging with clients and mentoring teams while utilizing the Microsoft Azure technology stack.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Senior Software Engineer in AI Data, you'll design and develop scalable systems for AI data platforms, ensuring reliability and software excellence while collaborating closely with diverse teams.

Own and drive Cryptio's API and AI platform roadmap, design APIs for enterprise and LLM consumption, improve developer experience (auth, docs, SDKs, sandboxes), coordinate cross-functionally, monitor platform KPIs, and support client onboarding and bespoke integrations to scale the business.

Design, fine-tune and deploy generative AI models, create and optimise LLM prompts, build prototypes and proofs-of-concept, document technical requirements, collaborate with cybersecurity teams, and ensure security and privacy controls are applied to AI systems.

Design, build, and maintain high-performance Java backend systems that integrate and deploy AI/ML models. Develop RESTful microservices, optimize performance and security, implement CI/CD, work with cloud platforms and container orchestration, and collaborate with data scientists on scalable ML solutions.

Lead development of an internal AI Copilot for Client Portfolio Management to predict churn, generate health scores, identify upsell opportunities, draft personalized portfolio reviews, and enable account planning to increase retention and revenue.

Design and implement an end-to-end ML compiler targeting a novel AI accelerator. Collaborate with hardware architects to co-design ISA-driven optimizations, build MLIR/LLVM-based lowering and backend codegen, develop profiling and analysis tools, and map high-level model graphs (ONNX/JAX/PyTorch) to hardware-efficient kernels and schedules.

This role involves advising on AI projects, educating teams on AI usage, overseeing AI governance, and coordinating between business units to facilitate AI adoption and execution.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

Build and maintain the self-serve data platform: develop microservices, Flink jobs, data pipelines and Kubernetes controllers; collaborate with stakeholders; drive platform initiatives and developer experience improvements.

As Director of Product Management for AI Search, you'll define the strategy, manage product development, collaborate with teams, and lead product managers while focusing on customer needs and innovation.

The role involves building AI workflows, integrating AI capabilities, establishing observability, and collaborating with vendors and data teams.

The Director of Product Management for AI will shape Diligent's AI strategy, lead product development, and ensure alignment with customer needs and company objectives.

The Solutions Architect will work with clients post-sale to deploy Generative AI applications, guiding technical architecture and ensuring value realization from AI investments.

Lead the design, delivery, and productionisation of autonomous agent-based AI solutions. Own end-to-end lifecycle from experimentation to deployment and impact measurement. Mentor engineers, set technical direction, and collaborate cross-functionally to build secure, scalable enterprise AI systems.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Lead AI transformation across departments by designing human-AI team future states, running stakeholder workshops, creating 12-month roadmaps and governance, defining technical requirements and KPIs, building business cases, and partnering with AI Solution Engineers to develop, deploy, scale, and measure AI solutions while driving adoption and training.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.