Top AI Engineer Jobs in London

Build and ship native Android features in Kotlin (Jetpack Compose). Integrate backend APIs, improve performance and reliability, collaborate with product and design, use analytics, and implement AI-assisted on-device experiences where valuable.

Develop, test, and deliver conversational chatbot solutions using Cognigy and NICE Proactive AI Agent. Implement and enhance features, write and review JavaScript code, unit test, resolve defects, support production, perform system analysis, and present client-facing demos. Mentor team members and ensure timely delivery.

Build and ship native Android features using Kotlin and Jetpack Compose. Design clean user flows for financial services, integrate backend APIs, improve performance and stability, use analytics and production feedback, and implement AI-assisted on-device experiences where beneficial.

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

Design and ship production agents and reusable skills on ClickStack. Own the agent stack (context engineering, tools, MCP servers), integrate with ClickHouse telemetry, build SDKs and observability, optimize latency/cost, run evals, and collaborate with open-source contributors and customers.

Build AI-native product features end-to-end: prototype rapidly, ship iterative releases, engage customers for feedback, and own quality, scope, and outcomes. Work in short cycles using agentic coding and modern stack to move from 0-to-1 in a startup environment focused on human-risk cybersecurity.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The role focuses on deploying AI SDR agents and optimizing sales processes through automation, enhancing productivity across the revenue team while requiring hands-on experience in AI implementation in B2B sales environments.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

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 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.

The Lead Engineer will develop secure systems, ensure engineering best practices, lead technical architecture, and integrate AI capabilities into production systems.

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.

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

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

Lead modernization of the digital workplace across Microsoft 365 E5 and endpoint ecosystems. Design and operate Entra ID, Intune, Defender, Purview, Teams, SharePoint and device management. Build automation, IaC, Power Platform solutions, Power BI reporting and Copilot Studio agents. Drive Copilot adoption, ensure AI governance and compliance, provide third-line support, root-cause analysis and technical leadership to improve user experience and operational consistency.

The Principal Engineer will lead the design and deployment of AI systems, develop GenAI features, and integrate LLMs, requiring deep ML knowledge and software engineering skills.

Lead a new AI Ops Agents team to design, ship, and scale production-grade automations and multi-agent systems. Own delivery and development of three engineers, build RAG pipelines, maintain AI tooling (Claude/Anthropic ecosystem), prioritize cross-team requests, rapid prototype integrations with enterprise platforms, and upskill engineering teams in practical AI usage.

Build internal AI enablement tools, workflows, and guardrails to help engineers use coding agents safely and productively. Evaluate models and agents, partner with teams to apply AI, track adoption and impact, and provide documentation, training, and advocacy across the engineering organization.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.