Top AWS Jobs in London

Lead and grow a team of Data Scientists, Data Engineers, and ML Ops Engineers developing large-scale autonomy data pipelines and machine learning solutions for perception and planning. Define technical direction, data strategy, evaluation frameworks, and production processes. Guide data collection, curation, labeling, sampling, model deployment, and optimization while ensuring scalability, cost efficiency, safety, and quality. Collaborate globally across infrastructure, simulation, tooling, and autonomy teams.

Develop and execute Algolia’s DACH partner strategy across Germany, Austria, and Switzerland. Manage consulting, systems integration, technology, and cloud partner relationships; recruit and enable new partners; shape AI and agentic solutions; coordinate co-selling, co-marketing, deal registration, and account mapping; and drive pipeline, revenue, and customer wins. The role requires strong technical fluency, German and English fluency, Salesforce experience, strategic relationship management, and cross-functional leadership.

Design, develop, maintain, and review software for critical infrastructure. Contribute to feature design, product roadmaps, Agile task breakdown, CI/CD pipelines, deployments, and customer demonstrations. Provide technical leadership by guiding engineers through delivery and technical challenges while supporting backend or frontend development across cloud, containerization, and database technologies.

Develop and scale Android mobile applications using Kotlin, contribute to backend services, and support mobile network management, MDM, and AI-powered safeguarding systems. The role involves architecture, security, scalability, rapid product iteration, deployment, pilot testing, and direct collaboration with the CTO and product team. The engineer will own features end to end, engage with users, and deliver technology that protects children and vulnerable people.

Develop and maintain iOS mobile applications and frontend experiences while contributing to backend services powering mobile network management, device control, and AI-driven safeguarding. Collaborate on architecture, scalability, security, and product direction; deploy, optimize, test, and rapidly iterate features across care, schools, and parent products. Engage directly with users and take ownership from concept through production delivery.

Build and scale Voop’s full-stack platform across real-time web applications, iOS and Android mobile apps, backend services, mobile network management, device control, and AI-driven safeguarding tools. The role involves architectural decisions, frontend and backend development, AWS deployment, optimization, security, real-world testing, and close collaboration with the CTO. Engineers will own features end to end and engage with users to deliver measurable safeguarding impact.

Leads UK-hosted cloud infrastructure design and deployment across cloud, on-premise, air-gapped, and secure environments. Builds infrastructure as code, manages Kubernetes and CI/CD systems, hosts approved AI models, improves developer tooling, supports Hardware in the Loop integration, and troubleshoots distributed systems. Partners with product managers, customers, and global infrastructure teams to deliver secure technical solutions for defense and national security programs.

Build and own end-to-end trading products, client portals, internal applications, backend services, APIs, data models, and frontend experiences. Design scalable, high-performance systems using modern frontend and cloud technologies, collaborate with product, marketing, trading, and engineering teams, and contribute to platform architecture and corporate website development. The role requires secure full-stack development, real-time data integration, cloud infrastructure knowledge, and database expertise.

Build and operate algo1’s platform infrastructure, including authentication and authorization, automated release engineering, cloud environments, APIs, webhooks, event-driven systems, and agentic development tooling. Design scalable distributed backend services, manage databases and real-time data streams, and support reliable customer-facing products. The role is office-based in London and involves close collaboration with platform, product, and engineering teams.

Build and maintain machine learning pipelines for market pricing, productionize Python models and data science workflows, and improve testing, release, monitoring, versioning, and governance. Investigate data, model, and pipeline issues; automate manual processes; and ensure workflows are traceable, auditable, documented, and reliable. Collaborate with pricing, data science, data engineering, ML engineering, governance, and business stakeholders in a regulated environment.

Build and maintain machine learning pipelines for market pricing, productionise Python models and data science workflows, and improve testing, deployment, monitoring, versioning, documentation, and governance. Investigate data, model, and pipeline issues; automate manual processes; and collaborate with Pricing, Data Science, Data Engineering, ML Engineering, and governance teams in a regulated environment.

Own product areas end-to-end, designing and shipping secure, observable AI-augmented software across backend, frontend, and data surfaces. Collaborate with product, design, data, and clinical teams, use experimentation and data to validate impact, and improve engineering practices for safety, reliability, and scale.

Lead design and ownership of an end-to-end AI platform for large-scale telecommunications. Define architecture, integration patterns, and standards; guide engineering, ML, and operations teams; ensure scalability, observability, security, and cost efficiency; support vendor evaluations, M&A technical due diligence, and stakeholder communication to deliver measurable business outcomes across multiple European markets.

Hands-on principal software engineer responsible for designing and delivering scalable backend services, APIs, frontend components, data pipelines and cloud infrastructure. Own end-to-end delivery, document technical designs, collaborate with clients and cross-functional teams, and operate within an Agile delivery model.

CircuitHub seeks a Haskell Engineer to work on robotics, manufacturing systems, and optimize various engineering challenges while expanding the company’s capabilities.

Provides advanced technical support to enterprise customers, troubleshooting cloud infrastructure, networking, Linux systems, containers, and security issues. Performs root cause analysis, supports deployments, maintains SLAs, documents solutions, and collaborates with engineering, product, and sales teams. The role also mentors junior staff, contributes to training resources, and helps optimize infrastructure as code, observability, identity management, databases, and customer environments.

Design, develop, test, and maintain scalable full-stack applications using Node.js, Express, Angular, and TypeScript. Build secure REST APIs, responsive front-end applications, automated tests, and CI/CD pipelines. Support AWS cloud-native deployments and container technologies while contributing to architecture discussions, code reviews, troubleshooting, and performance optimization. Collaborate with product, design, QA, and DevOps teams in Agile delivery environments.

Build scalable backend systems for BJAK’s AI Finance Agent, including APIs, workflows, multi-provider insurance integrations, quote comparison and ranking, customer data systems, secure audit trails, cloud infrastructure, CI/CD, observability, and security controls. The role requires reliable handling of timeouts, retries, partial failures, sensitive data, and integrations across markets and partners.

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

Design and implement scalable, production-grade services and architectures to transition a monolith into modular services. Define architectural standards, integrate secure AI/LLM patterns, ensure AWS-based high availability and cost/security practices, and advise product and exec teams on technical tradeoffs.

Build and maintain backend services, APIs, and data pipelines for Modo's energy market platform. Own AWS infrastructure with Terraform, implement monitoring, and contribute to LLM-powered features. Collaborate with analysts and data scientists and split time between new features and platform health.

Lead data strategy and engineering for AD/ADAS: collect, sample, label, and curate large-scale vehicle and simulator data; build evaluation frameworks and scalable pipelines; analyze data to improve perception and planning models; collaborate across teams and mentor colleagues to deploy production-ready ML solutions.

Lead end-to-end social commerce strategy to drive conversions and revenue for global brands. Design platform-specific TikTok and Meta commerce approaches, integrate paid and organic efforts, define KPIs and commercial frameworks, analyze performance, advise senior clients, collaborate with creative/media/analytics teams, and present measurable results. May work at client locations as required.

As a Senior Full Stack Engineer, you'll design scalable solutions, influence system architecture, mentor engineers, and maintain high-performance systems while collaborating closely with teams.

The Senior Machine Learning Engineer will develop and deploy ML models, enhance infrastructure, and collaborate on customer projects, contributing to innovative solutions for carbon emission reduction.