Top AWS Jobs in London

As a software developer, you will enhance applications for Exchange-Traded Derivatives operations, ensuring accurate post-trade processing and compliance with regulatory standards. You'll design, develop, and support critical data-driven systems.

As a Senior PHP Engineer, you'll innovate in building APIs and optimizing lending platforms. Engage in architecture discussions and contribute to a talented engineering team.

As a Senior Engineering Manager, you will manage Engineering Managers, drive technical strategies, and oversee the delivery efficiency of the Loans UK product, ensuring collaboration and team growth while balancing feature development with technical improvements.

As an Engineering Lead, you'll develop features, shape technical architecture, support team growth, and ensure code quality and performance.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

The Research Scientist will conduct foundational machine learning research focusing on LLMs, collaborating with global teams, and engaging with academic communities to innovate AI systems.

The Senior Product Manager will oversee the product lifecycle of IoT tracking devices, collaborating with engineering, design, and commercial teams to define product vision and strategy, manage roadmaps, and ensure alignment with market needs and business objectives.

The Sales Engineer at Orkes will engage with customers, provide technical solutions, support RFI/RFP processes, and deliver impactful presentations while collaborating with various teams.

Lead the implementation of an observability platform using OpenTelemetry, develop automation scripts, and optimize performance across cloud environments.

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.

Lead and grow the MLE sub-chapter, own and evolve the MLOps platform, enable scalable production ML, set governance and standards, and partner with Data Science and Platform teams to deploy, monitor, and maintain robust ML systems.

The Staff Software Engineer will design and develop foundational platform infrastructure systems, focusing on reliability and scalability across multiple clouds, and influence strategic engineering decisions.

Build and scale Base360.ai: design APIs, services, and cloud-native infrastructure; implement event-driven automations, AI-powered workflows, and integrations (Airbnb, Stripe, Twilio, OpenAI). Own projects end-to-end to automate operations, improve pricing and guest experiences, and enable global scaling.

Lead technical delivery for a high-profile, cloud-native advertising and audience insights platform. Hands-on coding in Java and React, design scalable AWS-based microservices, mentor distributed teams, own CI/CD and architecture decisions, and collaborate with product and senior stakeholders.

Own full-cycle enterprise sales for Cyera's cloud data security and data risk management solutions. Prospect, qualify, forecast, run complex sales cycles, deliver tailored demos/PoVs, and close deals with Fortune 500 customers. Build executive relationships (CISO, CDO, CIO), work with Solutions Engineering and cross-functional teams, grow channel partnerships, attend events, and travel ~50%.

Lead and expand a multidisciplinary team to design, deploy, and scale agentic AI systems across the business. Drive LLM architectures, agent orchestration, RAG patterns, Azure-aligned cloud delivery, and human-in-the-loop operating models. Partner with senior stakeholders to translate business challenges into production-grade autonomous agents, copilots, and automation platforms while ensuring reliability, security, and measurable business outcomes.

Lead design and evolution of scalable real-time and batch ETL pipelines and data platform. Own performance, reliability, and data quality; drive architecture and tooling choices; collaborate with product and backend teams; mentor engineers and shape target architecture to support trader-facing analytics and low-latency data needs.

Design, build, and maintain distributed backend systems powering real-time and analytical data processing. Optimize data pipelines for low latency and high throughput, drive architecture and reliability decisions, collaborate with cross-functional teams, and mentor engineers through reviews and knowledge sharing.

Lead design and delivery of scalable, secure web services across the full SDLC. Mentor engineers, champion best practices, build CI/CD and IaC, support live services, investigate incidents, and ensure accessibility, performance, and data protection.

Lead and grow an SRE team responsible for stateful/data layer platforms (YugaByte, Kafka, Elasticsearch, Redis, Spark) across multi-cloud Kubernetes environments. Set reliability strategy, collaborate with Engineering/Product/Security, drive observability, incident management, automation, hiring, onboarding, and technical decision-making to ensure resilient, scalable services.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end projects including data pipelines, distributed Spark workloads, MLOps and model integration, provides architecture guidance, embeds with customer teams, delivers reusable assets, and drives measurable outcomes.

Lead architecture and build full-stack features across frontend and backend. Deliver high-quality code, mentor engineers, drive technical decisions, improve workflows, and support hiring and onboarding while communicating technical trade-offs to non-technical stakeholders.

Lead design, delivery and continuous improvement of large-scale AEM and AWS digital platforms. Define product strategy, gather requirements, manage prioritized backlogs, drive QA and DevOps enablement, coordinate with risk/compliance/architecture/SRE, and mentor product teams to ensure performant, secure, and reliable corporate websites.

The Senior Analytics Engineer will develop data modeling infrastructure, manage analytics workflows, and collaborate with stakeholders to ensure optimal data quality and accessibility, along with training team members in analytics best practices.