Top AWS Jobs in London

Lead the architecture, development, and deployment of secure, scalable machine learning systems and AI safety evaluation tools. Design production-grade ML infrastructure, establish deployment standards, advise clients, collaborate with technical and commercial teams, and mentor engineers. The role focuses on operationalizing LLM applications, supporting frontier AI model testing, and delivering robust systems for high-stakes national security and AI safety missions.

Build and deploy production-grade machine learning software, tools, and infrastructure for high-stakes AI safety and national security applications. The role involves creating scalable ML solutions, evaluating frontier AI models, making architectural decisions, advising clients, and collaborating with engineers, data scientists, commercial teams, and research labs. Candidates should have strong Python and software engineering skills, cloud and containerization experience, ML lifecycle knowledge, and familiarity with LLM applications and AI safety evaluation.

Lead the architecture, development, deployment, and scaling of secure, production-grade machine learning systems and AI safety evaluations. The role includes technical scoping, cloud infrastructure design, client advising, cross-functional collaboration, engineering standards, and mentoring. Candidates need strong Python and software engineering expertise, experience with LLM applications, TensorFlow or PyTorch, cloud platforms, cybersecurity, Docker, Kubernetes, and full ML lifecycle operations.

Build and scale AI-powered systems in collaboration with data scientists and product managers. Develop reliable frontend and backend architectures, data pipelines, and cloud infrastructure. Deploy machine learning outputs into production-ready applications, provide technical expertise to customers, and manage the full software lifecycle while balancing rapid prototyping with long-term maintainability.

Support the deployment, operation, automation, and troubleshooting of Microsoft Azure and AWS cloud environments. Maintain CI/CD pipelines, use Git and Infrastructure as Code, assist with monitoring and security improvements, and contribute to technical documentation and agile delivery. The role is designed for an early-career engineer with practical cloud or DevOps exposure who wants to develop broader multi-cloud, automation, and platform engineering capabilities.

Manage a portfolio of EMEA customer accounts, grow revenue through upselling, cross-selling, renewals, and cloud service opportunities, and meet personal sales targets. Onboard customers, provide training, understand evolving business needs, and act as the primary account contact. Build relationships with C-level executives and AWS, gather customer feedback, support advocacy initiatives, and represent the company at events and conferences.

Manage full sales cycle for startups: prospecting, territory planning, pipeline generation, proposal and SOW negotiation, contract closing, and building strategic AWS partnerships while collaborating with internal teams to meet revenue and margin targets.

Guide customers through Zscaler’s Zero Trust adoption as the central post-sales contact. Provide technical advice, integration strategies, escalation leadership, adoption analysis, risk mitigation, and customer relationship management. Partner with internal and external teams to maximize solution value and develop customer success playbooks. The role requires expertise in cloud, networking, web security, infrastructure solutions, and customer-facing technical success.

Build and maintain infrastructure, data systems, and tools for evaluating and deploying AI/ML models supporting scientific drug discovery. Partner with scientists, product managers, ML experts, and DevOps engineers to define requirements, implement algorithms, optimize GPU performance, develop cloud-native systems, and own features through production. Contribute to architecture, testing, code reviews, documentation, and engineering practices while mentoring and collaborating across teams.

Build and operate AI-assisted software development tools, agent infrastructure, development environments, automated validation, and evaluation systems. Improve engineering productivity by identifying bottlenecks, selecting tooling, and delivering reliable internal platforms. The role spans application development and AWS serverless infrastructure, with ownership from technical design through deployment and ongoing operation. It involves close collaboration with product engineers and platform teams, plus measuring adoption, quality, reliability, and cost improvements.

Lead complex red team and adversary simulation engagements from initial access through objective completion. Design attack plans, evade security controls, develop tooling, manage operational risk, and produce executive-level reports and briefings. Build client relationships, support technical pre-sales, develop internal capabilities, track emerging threats, and mentor junior consultants. The role requires expertise across Active Directory, Office 365, cloud security, macOS, and mixed environments.

Engage enterprise customers to drive successful Cilium adoption, design and guide production rollouts, conduct technical workshops, and build trusted stakeholder relationships. Collaborate with engineering, support, product, and partners to resolve issues and improve customer outcomes. Create training materials, reference architectures, documentation, and other enablement resources while advising on Kubernetes, cloud-native networking, security, observability, and cloud infrastructure solutions.

Establishes and leads the Integration Services capability across Internal Products. Owns enterprise integration strategy, shared engineering services, platform standards, quality engineering, operational reliability, transformation-programme leadership, vendor relationships, delivery planning, and team development. The role defines reusable integration patterns, improves interoperability and automation, coordinates architecture across domains, manages incidents and operational performance, and builds a high-performing team of senior engineers.

Lead enterprise data architecture across regulatory, finance, risk, treasury, and trading domains. Define target-state architectures, modernization roadmaps, cloud migration strategies, data models, integration standards, governance, lineage, quality, and reporting platforms. Design resilient cloud-native data ecosystems using Azure, AWS, GCP, Databricks, Airflow, and modern engineering practices. Partner with engineering, DevOps, business, risk, finance, and compliance teams to modernize legacy platforms and deliver scalable, compliant self-service analytics.

Serve as a technical sales resource for UK commercial accounts, building customer relationships and guiding opportunities through technical and business validation. Lead presentations, demonstrations, workshops, proof-of-concepts, and technical discovery while tailoring Splunk solutions to customer needs. Maintain product expertise, support post-sale value realization, collaborate with sales teams, and update opportunity status in Salesforce.

Lead software quality and testing strategy through exploratory, risk-based, shift-left, shift-right, and automated testing. Coach developers and teammates, investigate bugs and root causes, contribute to architecture discussions, improve observability, support CI/CD workflows, and build internal testing tools using AI assistants. Collaborate closely with product and engineering teams to deliver reliable, maintainable software and promote a company-wide culture of quality.

Leads the design and evolution of a strategic cloud platform. Responsibilities include AWS infrastructure development with Terraform, CI/CD and GitHub workflow management, infrastructure automation, cloud security, compliance, cost optimization, observability, troubleshooting, capacity planning, scalability, and disaster recovery. The role combines hands-on technical delivery with stakeholder collaboration, customer guidance, architecture definition, and future engineering team leadership.

Design, implement, operate, and troubleshoot CrowdStrike’s global multi-vendor, multi-cloud, hybrid data center networks. Build cloud connectivity and network constructs, develop infrastructure-as-code and automation using Ansible, Terraform, Python, and Go, improve resilience and deployment efficiency, support incident analysis and on-call rotations, and ensure compliance with regional data sovereignty and security requirements.

Own cloud infrastructure, CI/CD, infrastructure as code, monitoring, logging, alerting, secure remote access, and software updates for remote satellite stations. Lead incident response and post-incident reviews while strengthening security and supporting security certifications. The role requires DevOps, SRE, or platform engineering experience, strong Linux and networking fundamentals, and major cloud provider expertise.

Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.

Lead Markets Treasury strategies optimizing balance sheet, liquidity, leverage, collateral, counterparty credit risk, market risk, and regulatory capital. Analyze financial resource consumption, portfolios, trade structures, and liquidity methodologies to identify optimization opportunities. Partner with trading desks, technology and quantitative research teams, vendors, and clearing houses. Develop data-driven optimizers, benefit trackers, and analytics while guiding methodology improvements and strategic roadmaps.

Designs, builds, and deploys AI-powered production intelligence software for global SaaS infrastructure. Responsibilities include developing resilient microservices, AI agents, MCP integrations, observability pipelines, anomaly detection, incident response, self-healing automation, and SRE practices such as SLOs, error budgets, and post-incident reviews. The role also mentors engineers, conducts code reviews, establishes engineering standards, and coordinates cross-team delivery.

Lead a full-stack engineering team while specializing in backend development. Responsibilities include writing code, mentoring and managing engineers, guiding architecture and technical strategy, coordinating project delivery, collaborating with product and design, overseeing code quality, and evaluating technologies. The role requires strong Go or comparable backend experience, system architecture skills, API integration experience, and technical leadership in a fast-paced environment.

Lead the research, design, productionization, and scaling of machine learning models for pricing and shipping optimization. Own high-impact projects, conduct rigorous experiments, apply causal inference and optimization techniques, collaborate with engineers and cross-functional stakeholders, communicate findings, and mentor junior team members.

Designs, implements, and supports DevOps improvements that enhance software quality, efficiency, reliability, and delivery speed. Collaborates with development, QA, IT operations, information security, and user-centered design teams. Builds and maintains AWS infrastructure, CI/CD pipelines, containerized environments, Kubernetes platforms, Helm deployments, and Terraform infrastructure as code. Engages stakeholders, translates business requirements into technical solutions, supports monitoring and database integrations, and applies DevOps and cloud best practices.