Top AWS Jobs in London

As a Data Scientist, you will create and enhance detection models for secure Generative AI adoption, collaborate with teams on data curation, and drive continuous model improvement based on customer feedback.

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.

Design, build, deploy, and operate API-based backend services for a data-visualization platform. Work with Product, Design, and Data to deliver scalable, reliable solutions using Node.js, TypeScript, PostgreSQL, Terraform and AWS. Improve reliability via testing, observability, CI/CD, and automate deployments. Participate in support rotations and incident management, and contribute to team processes and decision-making.

Design, build, and operate cloud-native backend services in Go for Neo4j Aura IAM. Develop custom Kubernetes operators/controllers, drive platform architecture, and implement secure service-to-service authentication (JWT, mTLS, SPIFFE/SPIRE). Collaborate with product, infrastructure, and security teams and produce clear technical documentation.

As a Senior Data Engineer, you will design data pipelines, collaborate with teams, build demos, and improve data processes within a cloud-native environment.

Own the full enterprise sales cycle to acquire new clients for AI, generative AI, data engineering, and analytics services. Prospect and qualify opportunities, engage C-level stakeholders, develop proposals with Pre-Sales and Delivery, negotiate contracts, manage pipeline and forecasting, represent the company at events, and support GTM and handover to delivery and customer success.

Maintain and scale data and ML infrastructure, build CI/CD pipelines, implement observability, ensure high availability and disaster recovery, manage access and secrets, troubleshoot incidents, and provide 24/7 coverage across time zones.

The VP Platform will lead product strategy for the platform, manage integrations, ensure scalability, and oversee a team of product managers.

Lead design and deliver scalable XVA risk software, embed AI/ML and Generative AI into workflows, own projects end-to-end, drive architecture and Agile delivery, ensure regulatory compliance, and mentor engineering teams.

First-line support for a high-performance research and trading platform: monitor alerts and logs, triage and resolve infrastructure incidents, handle onboarding and environment requests, maintain runbooks, improve monitoring and automation, escalate complex issues, and participate in on-call rotation to ensure platform reliability and responsiveness.

Design, build, deploy, and support secure, scalable production software and AWS infrastructure. Implement CI/CD with GitHub Actions, monitoring and alerting, and maintain engineering standards. Work in a cross-functional Agile team, mentor colleagues, and improve processes to ensure stable, repeatable releases.

The Senior Software Engineer will develop and maintain a large-scale calculation engine, mentor other developers, optimize performance, and support customer needs for distributed calculations.

Design and build scalable backend services and data pipelines in Python, deploy with Docker/Kubernetes, integrate enterprise systems (ERP, APIs, SFTP, event buses), process multi‑terabyte datasets, implement CI/CD and infra-as-code, ensure observability and reliability, and collaborate with customers and ML teams to deliver production enterprise features.

Develop and scale APIs, web services, and internal content systems for high-traffic public-facing radio products. Collaborate in cross-functional teams, write tests, follow CI practices, and apply sound software engineering principles while learning new technologies.

Pre-sales technical specialist partnering with account teams to identify and design multi-domain solutions across networking, cybersecurity, cloud, data center and AI. Responsibilities include discovery, solution design, proposals, presentations, technical validation, vendor engagement, sales enablement, and supporting complex data center and transformation opportunities.

The Software Engineer will design and maintain backend APIs, enhance performance, collaborate on B2B solutions, and align architecture with product strategy.

Lead and design scalable cloud-native solutions, collaborate with cross-functional teams, apply architecture frameworks and delivery methodologies, guide engineering teams, and ensure continuous improvement and stakeholder alignment across business, data, application, technology, and security domains.

The Tech Lead will oversee system design, cloud-native solutions, and mentor team members while ensuring high-quality engineering practices and delivery of complex initiatives.

Lead technical architecture and engineering roadmap, develop scalable systems, mentor engineers, drive improvements and champion technical innovation in AI solutions.

As a Senior Software Engineer at StrideUp, you will deliver high-quality code, implement AI tools, enhance development efficiency, and uphold engineering standards.

Lead the technical delivery of complex programs in the UK Defence sector, focusing on systems lifecycle, data-driven tools, and cloud architectures while managing multiple stakeholders and ensuring compliance with standards.

The DevOps Engineer provides technical support, coordinates change requests, maintains testing collateral, executes code deployment, develops automation tools, and ensures adherence to security practices while working with agile methodologies.

Design and train machine learning solutions for digital identities, focusing on areas like deepfake detection and document understanding, while collaborating with product and engineering teams.

Develop features for vehicle transactions, improve platform performance, collaborate with teams, and implement best coding practices in a dynamic auction environment.

The Senior Machine Learning Engineer will design, develop, and maintain AI/ML systems, optimizing algorithms and collaborating with cross-functional teams to meet diverse scientific needs.