Top AWS Jobs in London

Design and build enterprise-scale AWS landing zones, automate platforms with Terraform, package services (AMIs/Docker/Serverless), define IaC strategy, lead cloud transformations, apply SRE best practices, shape security models, mentor engineers, and operate large-scale, regulated AWS environments.

Design and deliver secure, scalable AWS platforms and landing zones for enterprise workloads. Lead architecture, governance, migration roadmaps, and cloud-native security; apply Well-Architected principles and provide technical leadership to cross-functional teams.

Lead customer cloud transformations to design, build, deploy and operate enterprise-scale AWS platforms. Build AWS Landing Zones and resources with Terraform, apply SRE principles, implement CI/CD pipelines, and mitigate cloud security risks while operating platforms in highly regulated environments.

Lead and grow a team of ML scientists to build and productionise credit underwriting, pricing, limits, and lifecycle models. Define Borrowing's ML roadmap for UK growth, new segments, and EU expansion, improve feature engineering and data use, and raise standards for model quality, governance, and iteration speed.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

Lead design, build and deploy production-grade ML systems and infrastructure. Make architecture decisions, implement best practices for ML at scale, advise clients, collaborate cross-functionally, and mentor junior engineers while meeting operational and ethical standards.

Lead design and roadmap for a scalable ML/GenAI platform: lifecycle architecture (training, deployment, monitoring), cloud-native GPU infrastructure, CI/CD for ML, observability and governance, LLM/vector retrieval capabilities, self-service tooling, cross-functional alignment, and mentoring senior engineers to accelerate safe, cost-efficient production ML at company scale.

The Systems Engineer manages Teza's systems infrastructure, ensures system performance, collaborates with teams, troubleshoots issues, implements security measures, and provides technical support, with on-call responsibilities.

The Product Engineering Manager leads engineering teams, shapes technical strategies, promotes AI adoption, and ensures operational excellence across cloud-based platforms.

Define and deliver the architectural vision for the Agile Release Train. Translate architecture into Epics/Features/Stories, support DevOps and CI/CD, manage NFRs, collaborate with feature teams, maintain architecture documentation, and provide technical leadership and mentoring to ensure scalable, secure platform solutions.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Lead a 3-5 person Product Infrastructure team to design and scale ingestion pipelines, migrate batch to real-time streaming, optimize PostgreSQL and Kubernetes-based infrastructure on AWS, integrate AI/ML into data workflows, and improve observability and incident automation using ClickHouse and Grafana while aligning technical roadmaps with product stakeholders.

Lead and operate Humanoid's corporate IT environment: manage endpoints, identity, networking, and cyber defenses (EDR/SIEM/vulnerability management). Oversee device lifecycle, MAM/SSO/MFA, vendor contracts, connectivity for offices/labs, and enforce policies and recovery procedures aligned with ISO27001/SOC2/GDPR. Monitor IT/security health, report risks to IT leadership, and feed improvements into the IT roadmap.

Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.

Own the full enterprise sales cycle from prospecting to close, build and manage pipeline and account plans, engage C-level stakeholders, run demos and proof-of-value with Sales Engineering, navigate complex buying processes, maintain CRM hygiene and forecasts, and represent the company at industry events.

Implement and customize an AI account-management platform for enterprise clients: deploy integrations, build data pipelines, modify AI models, troubleshoot, train customer teams, and feed product insights back to engineering and product teams.

Build and own backend systems for pensions, retirement savings, and the Spend product (card issuing, wallet provisioning). Design integrations with pension providers, payment/card infrastructure (Stripe) and payroll. Implement event-driven, auditable data models, contribute to React/TypeScript frontend as needed, join client calls, shape the roadmap, and ensure reliability, security, and observability while using AI.

Design, develop, and maintain scalable server-side components for the Joybuy online shopping experience. Implement modular microservices, APIs (GraphQL/REST), and CI/CD pipelines, contribute to architecture decisions, estimate and break down tasks, document best practices, and work onsite in London.

As a Senior Digital Assets Software Engineer, you will design and build trading systems, improve system reliability, and collaborate with traders to prototype trading strategies. Your role involves direct integration with cryptocurrency exchanges and contributing to the digital asset platform's architecture.

Lead solution architecture and engineering excellence for a major client, designing and governing scalable advertising data pipelines and reporting. Oversee engineering and BI teams using Adverity, dbt, SQL and AWS (S3, Redshift), coordinate cross-functional delivery, document best-practice solutions, and ensure data quality aligned to business requirements.

Lead and deliver large-scale distributed infrastructure projects from ambiguous requirements to production. Make architecture decisions, ensure reliability, scalability, and security, collaborate with research/product teams, set technical standards, improve operational processes, and mentor engineers.

Lead application and cloud/container security across the SDLC: threat modeling, architecture reviews, security code reviews, DevSecOps automation, vulnerability management for Kubernetes/container images, incident response, detection engineering, and compliance with OWASP/NIST/ISO standards.

The Senior DevOps Engineer will manage AWS infrastructure, optimize services, improve CI/CD pipelines, and enhance system observability while ensuring compliance with necessary standards.

Lead design and delivery of scalable analytics, BI, forecasting, and AI-driven solutions for RevOps Sales Intelligence. Partner cross-functionally to improve data quality, governance, automation, and self-service analytics using cloud data platforms and modern ML/Generative AI techniques. Manage roadmap, stakeholder communication, and operationalize AI/analytics at enterprise scale.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.