Top AWS Jobs in London

Develop and deploy machine learning and generative AI solutions for payments and banking operations. Build LLM-powered workflows, evaluation frameworks, ML services, and production deployment pipelines. Apply MLOps practices including monitoring, testing, versioning, governance, and rollback. Collaborate with product, risk, operations, and technology teams while documenting models, communicating results, and ensuring secure, reliable, and compliant production systems.

Deliver professional services for Falcon Next-Gen SIEM, helping customers implement log management, XDR, and SOAR capabilities. Provide technical guidance, integrations, knowledge transfer, documentation, and trusted advisory support. Collaborate with engineering and product teams to communicate customer requirements and influence product improvements. The role requires SIEM and SOAR experience, cloud platform knowledge, IT security expertise, scripting and automation skills, AI platform experience, and strong communication abilities.

Supports Cloud FinOps delivery for small and mid-tier customers by analyzing cloud spending, identifying optimization opportunities, assisting with forecasting and budgeting, developing governance frameworks, and preparing reports and dashboards. The role also supports sales proposals, customer education, stakeholder engagement, and continuous improvement of FinOps services across AWS, Azure, and Google Cloud environments.

Design and develop scalable backend systems for a global expense management platform supporting commerce, payments, issuing, ledgers, automated policies, administrative controls, and accounting integrations. Own features end to end from architecture and implementation through deployment, monitoring, troubleshooting, and operational support. Collaborate with engineering, product, design, and business teams while promoting high standards for scalability, testing, documentation, reliability, and code quality.

Build, analyze, maintain, and optimize scalable data pipelines and complex data infrastructure. Develop ETL processes, data models, algorithms, and production software while working with large datasets and distributed batch processing. Collaborate with global engineering and product teams through analysis, prototyping, development, deployment, and maintenance. Apply data engineering, database, cloud, workflow orchestration, and software engineering practices in a dynamic agile environment.

Provides embedded technical consulting to strategic customers using the CrowdStrike Falcon platform. Responsibilities include Falcon deployment, configuration, troubleshooting, module adoption, integrations, vulnerability and asset management, threat hunting guidance, incident management support, scripting through Falcon APIs, project planning, and customer training. The role requires security platform experience, knowledge of Windows, macOS, and Linux, strong communication skills, and up to 20% travel.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Lead technical strategy, architecture, and delivery for a large-scale risk analytics and reporting platform. Design scalable Java and React-based applications, govern frontend architecture and design systems, integrate enterprise platforms and data sources, and drive reliability, resiliency, observability, security, and compliance. Partner with Risk, Product, Data, Architecture, and Engineering stakeholders while evaluating AI, machine learning, and generative AI capabilities for analytics, automation, and decision support.

Monitors and triages security alerts, investigates incidents through resolution, conducts threat hunting, and develops or tunes detection rules. The analyst correlates endpoint, network, cloud, and identity telemetry; uses AI and automation to improve investigations; documents findings and incident reports; collaborates with global SOC and response teams; and helps maintain playbooks while participating in a weekend rotation approximately every five weeks.

Lead technology risk and controls activities across cybersecurity and business applications. Assess, monitor, and report risks; evaluate controls; identify gaps; recommend mitigation strategies; support regulatory compliance; document issues and action plans; and conduct threat modeling with application teams. The role requires collaboration with senior stakeholders and technology teams, plus knowledge of SDLC, cloud infrastructure, IAM, data protection, application security, resiliency, and vulnerability management.

Leads a team building secure, production-grade AI-driven software systems. Responsibilities include software architecture, Java or Python development, AI/ML integration, LLM and generative AI applications, algorithm validation, automated testing, CI/CD, cloud-native development, troubleshooting, and operational reliability. The role also establishes responsible AI practices, validates AI-assisted engineering outputs, mentors engineers, translates business requirements into technical roadmaps, and ensures timely delivery through Agile methodologies.

Leads liquidity reporting and regulatory change initiatives within Corporate Treasury Middle Office. Responsibilities include managing regulatory and audit deliverables, resolving reporting issues, improving controls and data quality, developing business requirements, testing data and reports, coordinating technology implementations, analyzing large datasets, and presenting findings to senior stakeholders and regulators. The role uses data and cloud technologies to modernize liquidity reporting and governance.

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

Lead cybersecurity architect responsible for secure design reviews, threat modeling, and implementing cybersecurity and technology controls across cloud platforms. Partner with product, technology, and third-party teams to manage risk, support audits and regulatory activities, and drive secure-by-design practices across PaaS/IaaS/SaaS and Kubernetes environments.

Supports end-to-end technology audits for consumer banking, including risk assessments, control testing, workpaper documentation, reporting, and issue closure verification. Uses data analytics and AI-enabled audit tools to identify risks and evaluate governance, risk management, and technology controls. Collaborates with stakeholders, communicates findings, monitors regulatory developments, and contributes to improving audit execution and control frameworks.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

Designs, builds, tests, and improves cloud security labs, challenges, and learning content for a cyber resilience platform. The role focuses on AWS, Azure, GCP, Kubernetes, SIEM, CSPM/CNAPP, containers, Terraform, serverless technologies, identity, access, networking, monitoring, and DevSecOps. Responsibilities include creating realistic attack-and-defense simulations, translating technical research into accessible content, collaborating with engineering and product teams, and supporting cloud security content strategy.

Provides technical pre-sales support for network security policy orchestration products. Responsibilities include supporting sales teams, developing customer and partner opportunities, conducting remote proof-of-concepts, delivering demonstrations and training, gathering product feedback, analyzing competitors, and presenting technical solutions. Requires networking and security expertise, hands-on firewall experience, strong presentation skills, French and English fluency, and international travel.

Designs and presents complex network, cloud, and cybersecurity solutions for enterprise customers during the presales process. Responsibilities include qualifying opportunities, developing solution architectures, managing technical customer relationships, producing proof-of-concepts and RFP responses, coordinating technical resources, and presenting Verizon capabilities. The role requires customer-facing presales experience with managed services providers, enterprise networking and security expertise, and travel of 25–50%.

Maintains, supports, enhances, and leads the lifecycle management of critical IP network infrastructure. Responsibilities include fault resolution, planned maintenance, network upgrades, project delivery, service transition, testing, documentation, supplier supervision, network design updates, continuous improvement, and technical mentoring. The role requires expertise in complex always-on networks, routing protocols, MPLS, multicast, Cisco platforms, QoS, data center technologies, security devices, AWS, and automation.

Provides technical consultancy throughout the sales lifecycle, designing and presenting bespoke broadcast and video media solutions. Leads customer workshops, requirements gathering, demonstrations, and technical discussions while collaborating with sales, product, engineering, operations, suppliers, and technology partners. Ensures solutions are viable, scalable, cost-effective, and aligned with customer needs. The role also supports continuous improvement, product development feedback, stakeholder engagement, and adoption of emerging technologies.

Own renewals and retained revenue across enterprise B2B software accounts. Build executive relationships, recover at-risk renewals, negotiate multi-year agreements, drive migrations to a cloud-native platform, defend against competitors, identify expansion opportunities, and maintain accurate Salesforce renewal forecasts. The role requires strong commercial judgment, experience with complex IT solutions, and the ability to influence CIOs, CTOs, and senior technology stakeholders.

Leads client data and AI engagements across industries, translating business challenges into analytics and technology solutions. Manages complex projects, client relationships, delivery teams, stakeholder alignment, and business development. Partners with engineers and data scientists to deploy and scale analytics, develops executive-facing insights, shapes operating models, and grows consulting capabilities in data and analytics.

Design, develop, operate, and maintain reliable backend services for Teya’s ePOS platform. Own features throughout the software lifecycle, contribute to scalable architecture and event-driven systems, improve CI/CD and observability, troubleshoot complex production issues, and uphold security and testing standards. Collaborate with cross-functional teams, participate in code reviews, mentor engineers, and influence technical direction while supporting fintech and payments-related products.

Leads AI-enabled operational transformation engagements from diagnostics and business cases through operating model redesign, implementation, adoption, and benefits realization. Develops AI and automation strategies, manages vendors and delivery teams, oversees multidisciplinary consultants, builds executive client relationships, supports proposals and business development, and coaches team members. The role also contributes to building Baringa’s UK AI-enabled operations offering and requires travel of up to 50%.