Top AI Engineer Jobs in London

As a Staff Software Engineer at The Trade Desk, you will design, build, and deliver data-focused products, contribute to solution design, and mentor other engineers. You will work on large-scale distributed systems and collaborate in a diverse team environment to solve complex problems.

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

Build and evolve a reusable data and ML platform: implement IaC and CI/CD, develop Python/Spark components, support data/ML lifecycle and AgentOps, improve observability, enforce security and governance, and collaborate across engineering and data teams.

Lead end-to-end deployments of generative AI solutions embedded with business teams: discovery, scoping, architecture, build, and production rollout. Develop LLM-powered applications, write production-grade frontend and backend code, feed field insights into the central AI platform, and drive adoption through measurement and stakeholder communication.

Build rapid prototypes and proof-of-concept applications using ML models, generative AI tools, API integrations, and cloud deployment pipelines to demonstrate emerging technology potential for betting and gaming.

The AI Engineer will develop and implement agentic AI solutions, drive best practices in engineering, and manage complex platform performance and monitoring.

Build production-ready AI agents and automations using n8n and LLMs to integrate systems via APIs/webhooks, use SQL and code (Python/JavaScript) to prototype, deploy and iterate autonomous workflows that reduce manual work across Sales, Operations, Supply Chain, Finance and Product.

Serve as a senior ML technical advisor and pre-sales engineer, designing production-grade ML/GenAI solutions on Databricks. Build MVPs, guide MLOps/LLMOps architectures (including RAG and vector DBs), integrate cloud services, mentor teams, create technical content, and support platform adoption through customer engagements and presentations.

Lead function-aligned AI engineering to accelerate responsible AI adoption across Global Markets. Identify and prioritise high-value AI use cases, design and deliver generative AI, RAG and agentic workflows, ensure governance/compliance, integrate with enterprise platforms, embed controls and monitoring, deliver prototypes to production, and track benefits and adoption while coordinating with risk, legal, data and technology stakeholders.

Design, implement, and deploy stateful agentic LLM orchestration and RAG systems integrated with internal APIs, databases, and third-party tools. Collaborate in Agile teams to deliver reliable AI-automation solutions, contribute to code review and QA, improve system reliability, and communicate technical trade-offs with stakeholders.

Develop and deploy AI-powered applications, agents, and integrations for HFT. Evaluate models and tooling, build agentic workflows, integrate AI with internal systems, and collaborate with research and trading teams to deliver production-grade AI solutions and best practices.

Lead the QA strategy and execution, focusing on automation and AI to improve quality in testing. Manage a QA team, ensuring effective communication and quality enhancement across products.

As a Software Engineer at Landytech, you will develop and maintain APIs for financial metrics, optimize systems, and collaborate with the team on scalable data solutions.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

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.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

The AI Engineer will develop the AI infrastructure, build approval workflows, and create intelligent collections agents, ensuring product reliability and customer satisfaction.

The Senior Python Engineer will design and implement features for data science applications, mentor junior engineers, and ensure system architecture aligns with best practices in a SaaS environment.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.