Top AWS Jobs in London

Design, develop, and maintain scalable Python backend systems and APIs. Lead end-to-end development, optimize performance, participate in architecture decisions, conduct code reviews, resolve production issues, and mentor junior engineers.

The Senior Full Stack Engineer will design and build scalable microservices in Go, develop React components, and collaborate on product solutions while ensuring code maintainability and quality.

Design and build scalable Python backends and APIs, integrate and deploy LLM-powered applications (chatbots, summarization, semantic search), optimize model performance and costs, develop data pipelines for training and inference, ensure code quality and CI/CD, collaborate cross-functionally, and mentor junior engineers.

Drive and expand enterprise accounts by building strategic executive relationships, managing pipeline and CRM, positioning SHI IT solutions, collaborating with pre/post-sales teams, and meeting revenue and profit targets.

Manage global customer accounts to drive retention and growth by identifying pain points and delivering end-to-end IT solutions. Align forecasts with sales and supply chain, host quarterly business reviews, coordinate internal and external resources, manage CRM activities, create SOWs, pricing quotes, and renewals, prepare management reports, and support major initiative campaigns and technology deployment.

Lead Staff Software Engineers manage projects and teams, guiding technical direction and strategy while contributing to software development at scale.

As a Senior Data Scientist, you'll develop predictive models that drive business decisions, work with data engineers on infrastructure, and collaborate with various stakeholders to improve operational effectiveness.

Develop and maintain FIX APIs for IG Prime, enhance API capabilities, monitor performance, and support clients while collaborating with stakeholders.

Work in multidisciplinary teams to design, build and maintain data pipelines, models and analytics products using SQL, Python and modern data tools. Contribute to cloud-based data solutions (AWS/Azure), apply software engineering and data governance practices, create visualisations, and collaborate with stakeholders in Agile delivery to produce maintainable, production-ready data services.

Build, deploy, secure, monitor, and maintain Python application extensions, CLI tooling, and automations for Threat Intelligence platforms. Integrate backend systems, create tooling to support analysts and engineers, identify automation opportunities, and provide DevOps-focused support for cloud-native environments.

As a Senior Data Engineer at Simple Machines, you'll lead the design and build of cloud-native data platforms and pipelines, ensuring high performance and compliance while consulting directly with clients to deliver effective data solutions.

As a Full Stack Engineer, you will design and implement scalable software solutions, collaborate with teams, and oversee codebase integrity.

Architect, implement, and deploy scalable, event-driven backend services in Java/Kotlin on containerised AWS infrastructure. Design APIs, improve performance, mentor junior engineers, and own services end-to-end within a high-throughput payments platform.

Build, automate, and operate AWS-based production infrastructure using Terraform and CI/CD. Improve observability, reliability, cost and security, mentor engineers, and collaborate with Security, MLOps and Product teams to deliver scalable cloud systems.

As a Full-Stack Engineer, you will enhance the consumer portal experience by developing a high-performance website using various technologies, focusing on React and TypeScript while collaborating across teams.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

You will design, build, and maintain scalable software systems, driving execution and collaborating with product teams to deliver impactful AI-enabled solutions.

Design and operate multi-region Azure and AWS cloud networking and security for Kubernetes fleets, focusing on isolation, segmentation, egress control, and auditability for agentic AI workloads. Define infrastructure as code with Terraform, harden identity integration, use AI for monitoring and runbooks, and collaborate with Kubernetes and product teams to resolve complex networking issues.

Forward Deployed Engineers at Thought Machine deliver technical solutions by embedding with clients, managing project lifecycles, coding production systems, and facilitating client success with technological implementations.

As a Backend Engineer, you'll enhance the Smart Financial Platform, focusing on robust scalable solutions, APIs, and efficient code delivery while collaborating with cross-functional teams.

Design, build, and maintain cloud infrastructure, services, and APIs; integrate backend systems with an embedded platform; write automated tests, debug issues, and apply secure distributed systems practices to ensure scalable, reliable operation.

Develop and maintain security-focused cloud services and infrastructure, design APIs and backend systems, integrate with embedded platforms, fix bugs, write automated tests, and apply cloud and secure software best practices to ensure scalable, reliable, and secure operation.

You will build backend infrastructure for a digital energy platform, working on real-time systems and customer energy pipelines while adapting to business needs

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

Own technical strategy for large enterprise accounts, drive multi-product adoption and complex sales cycles, architect cloud-to-serverless migrations, design POCs, navigate security/compliance and procurement, mentor peers, and influence product roadmap.