Top AWS Jobs in London

Develop, validate, and deploy machine learning and statistical models for soccer betting products. Create soccer-specific features, run offline and online experiments, collaborate with data engineering and product teams, follow software engineering best practices, document work, and present findings to technical and non-technical stakeholders.

Design, build, and scale IoT hardware for the Energy Network, ensuring secure connectivity, device security, and integration with cloud services.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

Seeking an experienced Staff Engineer to design software solutions, lead architectural decisions, mentor junior engineers, optimize performance, and guide technical strategy.

Lead Machine Learning Engineer to oversee AI projects, guide technical direction, manage teams, and innovate in building scalable ML systems.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

The Staff AI Engineer will build, deploy, and maintain AI applications, manage data pipelines, and lead technical designs while mentoring engineers.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Lead EMEA paid Priority Support end-to-end: own regional revenue targets, scale and coach the Designated Support Engineer team, drive proactive AI-augmented advisory engagements, partner with Sales and reactive support for escalations, and ensure customer retention, consumption growth, and delivery quality.

The MS Cloud Infrastructure Engineer manages cloud infrastructure deployment, supports operations, coaches junior engineers, and evaluates hardware/software solutions.

Develop and optimize performance-critical components of a low-latency trading platform (pricing engines, gateways, market-data, messaging). Own design, deployment, production support, observability, and architectural decisions. Mentor engineers, conduct reviews, and ensure reliability in cloud-native AWS and colocated environments.

Build and maintain low-latency trading infrastructure on Linux using modern C++ and Go. Work on pricing engines, connectivity, market-data pipelines, FIX integrations, messaging, observability, and production support. Own design, deployment, incident response, and continuous performance optimization.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Site Reliability Engineer will design, build, and maintain AWS cloud infrastructure, ensure performance and reliability, automate tasks, and participate in incident management.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Support and advance the application security program: review designs and architecture, advise engineering/DevOps on secure SDLC practices, run static/dynamic scans and manual assessments, triage external pentest and bug-bounty findings, and drive security process improvements.

Design, implement, and ship customer-facing AI features end-to-end. Architect scalable, secure systems for high-volume data and complex workflows. Improve grounding, citations, and evaluation for auditable AI outputs. Collaborate with Product and Design to iterate and optimize latency, cost, and user experience.

Design and implement secure cloud-based solutions and DevSecOps practices. Automate security tooling in CI pipelines, perform threat modelling and vulnerability management, support penetration testing, review security outputs, convert findings into actionable work, verify secure architectures, and coach junior team members.

Lead Security Engineer responsible for directing security engineering and testing across platforms and services, defining testing methodology and tools, performing penetration testing and secure code assessment, embedding security in CI/CD pipelines, threat modelling, and mentoring junior engineers while liaising with stakeholders and customers. Role requires defence experience and an active security clearance.

Senior technical leader driving pre-sales architecture and partner technical strategy for Qualys-based enterprise security solutions. Lead executive workshops, complex POCs, partner enablement, solution adoption roadmaps, and mentor junior architects while influencing product and partner-delivered managed services.

Partner with sales and partners to design, demo, and operationalize Qualys-based security solutions. Lead architecture workshops, POCs, partner enablement, and complex integration guidance across vulnerability, patching, cloud/application security, compliance, and threat detection. Influence product roadmap and produce enablement content.