Top AWS Jobs in London

Lead creation and commercialization of packaged BFSI AI/Cloud solutions: prioritize use cases (KYC/AML, Fraud, Document AI, RM copilot, RegTech), define value props/pricing/playbooks, build reference architectures (LLM/RAG, data governance, security), drive pre-sales/PoV to production, establish hyperscaler/ISV alliances, and produce thought leadership to accelerate deals and scale offerings.

Lead a hands-on engineering team building cloud-based analytics/SaaS products. Balance coding, architecture, hiring, delivery, and career development while driving technical standards and AI-augmented workflows.

Hands-on operations-focused senior software engineer bridging application support and engineering. Provide L2.5 support for PHP services on EKS with MySQL, build automation and runbooks, tune observability (Datadog, Kibana, Heap), participate in on-call rotation, reduce escalations, and improve MTTR through automation, documentation, and collaboration with engineering and platform teams.

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 Senior DevOps Engineer will manage AWS infrastructure, optimize services, improve CI/CD pipelines, and enhance system observability while ensuring compliance with necessary standards.

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.

The Head of Pre-Sales will lead technical vision and strategy in media, broadcast, and cloud solutions, managing a high-performing team and ensuring alignment with customer and company objectives.

Lead the architecture of Tide's agentic platform, ensuring reliable, scalable services. Collaborate across teams to design APIs and integration standards, focusing on developer experience and analytics.

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.

The Ruby Engineer will focus on web scraping and browser automation, fix code issues promptly, support customers, and enhance search engine integrations.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Looking for a senior Ruby on Rails engineer to own complex projects and improve the product's technical direction, requiring extensive experience and a high standard of coding.

Lead design and delivery of scalable analytics, BI, forecasting, and AI-driven solutions for RevOps Sales Intelligence. Partner cross-functionally to improve data quality, governance, automation, and self-service analytics using cloud data platforms and modern ML/Generative AI techniques. Manage roadmap, stakeholder communication, and operationalize AI/analytics at enterprise scale.

The Sr. Software Engineer will design, develop, and maintain public APIs and integrations, ensuring high scalability and performance while improving code quality using AI tools.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As a Senior or Staff Software Engineer focused on SRE, you will optimize performance, manage infrastructure with code, drive observability, and collaborate with teams to enhance system reliability and efficiency.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The SaaS Sales Specialist will drive sales of Commvault Cloud SaaS solutions, qualifying leads, preparing proposals, and maintaining relationships with clients and partners. This role supports sales meetings and helps close deals by collaborating with account executives and utilizing industry knowledge.

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

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

As a Software Engineer (GenAI-Focused), you will enhance the DoiT Cloud Intelligence product, implement features, review code, and improve code health, focusing on AI and cloud technologies for cost optimization and performance.