Top AI Jobs in London

Lead client engagements to define AI strategy, design enterprise AI platforms and governance, architect secure scalable Generative AI and agent solutions, deliver high-quality roadmaps and designs, mentor teams, and support business development.

Design, train, evaluate and deploy robust deep learning models from sensor input to user interface; integrate models into cloud and edge systems; work with customers to define problems; document, monitor and ensure safe, secure production AI solutions.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

Design, build and deploy multi-agent, agentic AI systems integrating LLMs and vision-language models into production pipelines. Deliver end-to-end features for cloud, on-prem and air-gapped environments, implement observability and evaluation frameworks, and act as a technical authority for agentic AI within cross-functional teams.

Lead the design, build, and productionisation of Fundment's AI systems and infrastructure on GCP. Define AI strategy, architect LLM/RAG/agent solutions, implement MLOps, model governance, IaC, monitoring, cost optimisation, and mentor a multidisciplinary team to embed AI into products and operations.

Validate and automate testing for AWS serverless, event-driven and modernized applications. Design and run functional, integration, contract, performance, resilience and security tests. Build automated test frameworks, integrate with CI/CD, leverage AWS Kiro for AI-assisted test generation and validation, and support migration/regression testing across microservices.

Lead strategy, development, and scaling of AI-driven product features for clinician and patient workflows. Define roadmaps, prioritize using analytics and research, partner with engineering and clinical teams, launch and optimize features, and connect initiatives to business outcomes.

Build and maintain product features that streamline property transactions. Use LLMs and AI coding agents to accelerate development, debug issues, and iterate rapidly. Own tasks from day one, collaborate with a small team, and apply practical problem-solving to deliver customer-facing improvements.

Support sales by designing and demonstrating Cisco cloud, data center, and AI-ready infrastructure solutions. Engage customers to assess modernization goals, craft platform architectures, present technical value, run workshops, and collaborate with account teams and partners to drive adoption of compute, storage, networking, and cloud-native technologies.

Lead end-to-end delivery of QVAC-powered AI implementations, acting as primary client contact. Translate business needs into deployment strategies, define roadmaps, coordinate product/engineering/legal stakeholders, manage risks and governance, and drive implementations from kickoff to production while producing executive reports and reusable documentation.

Design, build, and deploy production-scale AI systems including multi-agent workflows, RAG pipelines, and fine-tuned LLMs. Deliver full-stack web and backend integrations, develop evaluation frameworks and monitoring, iterate prototypes into production, and shape internal best practices for applied AI.

Partner with enterprise customers to discover AI opportunities, design end-to-end solution architectures on Aion's platform, lead POC-to-production delivery, integrate with enterprise systems, optimize performance, and provide technical leadership, product feedback, and enablement materials to drive AI adoption.

Coordinate and support end-to-end delivery of AI projects, liaising with clients and technical teams, maintaining plans/logs/reports, troubleshooting delivery issues, ensuring quality and validation, and contributing to knowledge sharing and cross-service AI initiatives.

Lead onshore stakeholder engagement to gather and translate business requirements into technical specifications for Power BI reporting and analytics. Coordinate offshore development, validate data models and dashboards, ensure traceability, manage priorities and delivery, and support insurance data requirements across underwriting, premium, claims, and bordereaux.

Hands-on consultant embedded with client teams to define multi-channel acquisition strategies, run performance tests, design measurement frameworks, and apply AI to campaign optimisation, content production, automation, and reporting. Drive implementation, translate data into recommendations, and build scalable, data-driven marketing operations for PE-backed and high-growth businesses.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.

Design, build, and maintain scalable, secure cloud infrastructure across AWS and Azure using Terraform, Docker, and CI/CD. Manage production environments, monitoring, security, IAM, secrets management, automation, cost optimization, and collaborate with dev/DevOps teams to ensure high availability and reliability.

Design and scale end-to-end AI/ML solution patterns, data pipelines, and model architectures; lead pilot MVPs/PoCs into production; define AI governance and best practices; collaborate with architects, engineering, and sales to drive services growth.

Lead development of a generative AI proof-of-concept and integrate AI solutions into software workflows. Mentor data engineers, design and implement Python-based generative AI applications, build scalable data pipelines, deploy models/APIs, and translate stakeholder requirements into technical solutions while staying current on AI and data engineering best practices.

Design measurable, job-aligned Data and AI curricula using backward design and ADDIE. Validate and fix AI-assisted content, build high-touch human learning moments, prototype new modalities, use prompt engineering and AI tools to accelerate development, and influence stakeholders to improve programme impact.

Lead architecture, build, and operate a production agentic AI platform for banking. Hands-on engineer-manager role: design scalable cloud-native systems, integrate LLMs/agent frameworks, enable enterprise data integrations, recruit and mentor engineers, ensure compliance/security, and measure business KPIs.

Lead and execute a multi-year GenAI strategy for COO Technology, build a production-grade shared AI platform, deliver enterprise-scale agentic and LLM solutions, ensure regulatory-compliant deployments, run AI governance, and recruit and operate a high-performing AI engineering organization with budgetary ownership.

Lead and grow a developer tools engineering team building Figmas developer offerings (Dev Mode, MCP, Code Connect). Define strategy and roadmap, provide hands-on technical leadership, partner with cross-functional stakeholders, recruit and mentor engineers, and drive AI-powered product development and incubation.

Lead pre-sales for managed services: capture client needs, design AI/cloud-managed service solutions, develop proposals, pricing and contracts, pitch and close deals, create reusable assets, and mentor teams.

Design, build, and deploy Python-based microservice APIs that call LLMs and generative models to automate business processes and support game services. Translate business requirements into API specs, integrate services across systems, collaborate with DevOps for cloud deployments, optimize AI model performance, write and debug core AI code, and communicate with cross-functional stakeholders.