Top AWS Jobs in London

The Technical Product Marketing Manager drives go-to-market activities for technical platform launches and strategic partnerships, translating technical specs into compelling narratives for a commercial audience, managing cross-functional collaborations, and supporting sales enablement materials.

As a Database Reliability Engineer at ClickHouse, you will enhance system reliability, manage incident responses, improve performance metrics, and collaborate across teams to ensure optimal customer experiences.

As a Software Engineering Team Leader, you will manage the development of web applications, support team productivity, and enhance user experience while mentoring your team members.

As a Senior Software Engineer, you'll build products, deliver continuous changes, mentor teams, architect scalable systems, and promote best practices.

Design and develop scalable applications and services, translating business requirements into technical solutions while ensuring code quality and performance. Collaborate within an Agile team, participate in code reviews, and mentor junior developers.

The Senior Software Engineer will drive the technical vision, manage large datasets, ensure code quality, and lead development initiatives in a remote-first environment.

Design, build, and maintain production data pipelines and warehouse/lakehouse architecture. Implement version-controlled transformations (dbt), orchestration, IaC, monitoring, and data quality. Enable secure, auditable data access for analysts and product teams, and define long-term platform strategy while partnering across engineering, analytics, and product.

Lead architecture and technical strategy across core product suites, mentor senior engineers, drive AI-first SDLC adoption, own target architectures and roadmaps, support feature delivery and tech debt reduction, and ensure reliability, security, and compliance.

Lead data architecture and strategy across OLTP, OLAP, and AI systems. Drive AI-first foundations (LLM orchestration, RAG, real-time inference), ensure DataOps/CI-CD, mentor technical leads, run architectural reviews, partner with product and engineering leadership, and optimise platform security, observability and costs.

The AI Engineer - FDE develops GenAI solutions, deploys machine learning applications, advises customers, and collaborates within teams to influence product strategy.

Deliver end-to-end data science projects: build and deploy ML/NLP and generative-AI solutions, design scalable data pipelines, integrate cloud services and APIs, implement RAG/vector-search applications, and collaborate with cross-functional teams to produce reusable tools and client-facing products.

The Senior Platform Engineer will enhance reliability, performance, and scalability of systems, improve operational excellence, and automate processes. Responsibilities include incident management, observability solutions, cost optimization, and cross-functional collaboration.

Lead DevSecOps initiatives to embed security across CI/CD pipelines and cloud infrastructure. Implement security testing (SAST/DAST), vulnerability management, IaC and container security, automate compliance checks, conduct threat modeling, and mentor engineering teams to improve platform security and reliability.

Design, build, and maintain secure, scalable AWS cloud platforms. Implement IaC, CI/CD, DevSecOps, SRE practices, ETL/data pipelines, and MLOps to support microservices, serverless, and AI/ML workloads while ensuring resiliency, security, and automation.

The Lead Client Partner manages key client accounts, identifies growth opportunities, drives commercial success, and builds strong relationships with senior stakeholders to position CreateFuture as a strategic partner.

The Machine Learning Engineer III will design and optimize AI systems, utilizing techniques like deep learning and statistical modeling to solve real-world business problems, collaborate globally, and communicate complex data effectively.

Design, build, and deploy end-to-end ML and generative AI solutions (ranking, recommender, chatbots, agentic systems). Handle data engineering, feature engineering, modeling, evaluation, deployment, monitoring, and cross-functional communication to deliver business impact.

The Solutions Engineer at Netskope will work closely with customers to provide technical solutions, manage presentations, and lead customer engagement efforts, while focusing on sales targets and customer satisfaction.

The role involves designing scalable Node.js services for AI voice applications and optimizing AWS infrastructure for high-concurrency healthcare needs.

As the first full-time engineer, you'll transform a prototype into a SaaS by developing backends, designing user interfaces, and implementing security standards.

As Data Engineering Lead, you will own the technical direction of a data platform for the debt capital market, leading ingestion, orchestration, and API development. You will mentor engineers and establish operational standards to improve product delivery.

As a Senior Platform Engineer, you will build and implement automated security guardrails, CI/CD pipelines, and collaborate on SOC 2 compliance features.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

Join a fast-growing AI-based company as a software engineer to develop and scale their platform while impacting product strategy and architecture.

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.