Top Tech Jobs & Startup Jobs in London

Lead client engagements to define AI strategy, design enterprise AI platforms and governance, architect secure scalable Generative AI and agent solutions, deliver high-quality roadmaps and designs, mentor teams, and support business development.

Design, build, migrate and operate enterprise-scale Microsoft Azure environments. Deliver IaC (Terraform, ARM/Bicep), networking, compute, storage and security solutions, automate CI/CD, troubleshoot complex infrastructure, perform design/code reviews, produce technical documentation, and mentor other engineers while working directly with clients.

Design, build and maintain cloud-native applications and RESTful APIs on Microsoft Azure. Develop solutions using Azure Functions and App Service, manage APIs with Azure API Management, implement secure authentication (Entra ID, OAuth2, managed identities, RBAC), apply CI/CD and IaC, collaborate with architects/DevOps/security, and support production services.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

Lead design and delivery of production-grade data pipelines, models and analytics on cloud platforms. Translate ambiguous problems into technical solutions, build/operate ETL/streaming, embed governance, integrate ML, apply software engineering practices, and communicate insights with visualisations and consultancy-grade materials.

The Cloud Engineer will deliver Azure solutions, manage client engagements, and support cloud migration efforts while ensuring best practices.

The Senior Test Engineer will design and implement automated testing frameworks, lead data validation, and enhance cloud transformation programs while ensuring data quality and integrity.

Lead and support transformation initiatives, modernizing legacy systems, applying User-Centred Design principles, influencing stakeholders, and ensuring successful delivery outcomes.