Top AWS Jobs in London

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

The Senior AI Engineer will develop AI capabilities, maintain server infrastructure, implement evaluation frameworks, promote AI practices, and collaborate with teams to enhance AI adoption.

The Senior Engineering Manager will lead multiple engineering teams, drive technical excellence, and shape product strategy while managing growth in a fast-paced environment.

Lead a marketing science team to design and deploy advanced econometric and predictive models (MMM, Bayesian, ML) for media measurement, build scalable analytics frameworks, manage stakeholders, and drive methodological innovation and team development to optimize campaign performance.

The Senior Software Test Engineer will lead test engineering initiatives, design automated test frameworks, and advocate for quality within cross-functional teams.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

Develop machine learning models for real-world physics problems, optimize model performance, implement distributed training, and mentor less experienced colleagues.

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.

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

Lead the AIOps product roadmap and deliver enterprise-scale observability and automation capabilities (noise reduction, correlation, anomaly detection, RCA, predictive alerting, self-healing). Translate operational needs into requirements, drive cross-team adoption, define success metrics (MTTD, MTTR, alert quality, automation coverage), and present outcomes to senior stakeholders.

As a Data Engineer, you'll build and optimize data platforms, create data pipelines, and implement ML infrastructure to support business insights and data service needs.

As a Deployed Customer Engineer, you will bridge Couchbase's engineering and customer goals, implementing solutions and optimizing performance for mission-critical applications.

Manage and optimize scalable cloud infrastructure on Azure and AWS, troubleshoot issues, support client onboarding, and design tailored cloud solutions.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

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

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.

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.

Customer-facing engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements pipelines, integrates ML/AI models, supports deployments, mentors customers, and contributes reusable assets to scale impact.

Graduate-entry cloud and AI engineering role building agentic solutions with Python, LLMs and AWS. Work includes data preparation, prototyping to production, testing, monitoring, documentation, and following Agile/Kanban practices. Structured mentorship, certification routes, and security-vetted work with government customers.

Implement and support DevOps improvements to speed delivery, improve quality and reliability. Build and maintain CI/CD pipelines, container orchestration (Kubernetes/Helm), IaC with Terraform, cloud (AWS) infrastructure, monitoring, and stakeholder-facing automation across multidisciplinary teams.

Build and maintain Freetrade's platform: cloud infrastructure (GCP/AWS/Azure), Kubernetes/serverless, Terraform, CI/CD pipelines, monitoring/observability and security guardrails. Partner with product and engineering teams, deploy and operate platform services, and help integrate AI into engineering workflows.

Lead and mentor a Sales Engineering team to design and deliver Cohesity solutions for data protection, analytics, storage, virtualization, databases, and cloud. Drive technical proposals, demos, POCs, partner collaboration, post-sales support, and contribute customer feedback to product management to increase deal sizes and win rates.

Build, operate and improve a unified engineering platform (PaaS) used by product teams. Deliver automation, self-service tooling, Kubernetes cluster management, CI/CD and observability, provide technical support to product teams, and treat platform components as products to accelerate secure, standardised delivery.