Top Tech Jobs & Startup Jobs in London

Lead design and delivery of AI-ready infrastructure across on-prem, colocation and cloud. Define GPU compute architectures, ensure secure scalable GPU platforms for training, fine-tuning and inference, and manage distributed architecture and engineering teams during hybrid cloud transformations.

Design, build, migrate, operate and govern hybrid cloud and on-prem infrastructure. Architect and deliver cloud transformations, implement virtualization, container platforms, automation, and resilience strategies.

Design, implement, and optimize enterprise LAN/WAN/WiFi and cloud network architectures. Lead cloud networking (AWS/Azure/GCP), automation (Ansible, Python, Terraform), monitoring, troubleshooting, and enforce security/compliance. Collaborate with cross-functional teams and mentor junior engineers.

Build and ship production-quality AI applications and reusable deployment assets (agents, orchestration, evaluation). Support enterprise rollouts, integrate with IT/cloud infrastructure, accelerate client adoption, and champion responsible AI while advising and collaborating with client teams.

Work with High Tech clients to deliver technology-enabled transformation: analyse business challenges, create data-driven recommendations, support AI/cloud/data programmes, use Agile teams, prepare executive materials, and build client relationships across strategy, technology and data domains.

Advise clients on Workday Talent & Performance implementations, apply Workday and Accenture methodologies, run workshops, configure Talent & Performance solutions, liaise with stakeholders and vendors, support innovation including AI/GenAI accelerators, manage teams and client interactions to maximize Workday value.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

Lead Workday Compensation implementations and HCM transformations: run workshops, gather requirements, configure, test, deploy, lead workstreams, liaise with clients and teams, and apply Accenture/Workday methodologies and AI-enabled tools.

Lead end-to-end Workday HCM (and/or Financials) implementations, manage stakeholders, budgets, resources and delivery quality, coach consultants, support presales, and embed AI-enabled accelerators to improve Workday delivery.

Lead account-level enterprise AI transformation as an embedded production engineering director. Own deployment outcomes (time-to-value, reliability, adoption, ROI), define enterprise AI architecture and governance, build FDE practice standards and reusable playbooks, manage executive relationships, and lead engineering teams to deploy agentic solutions and multi-provider AI platforms at scale.