7 of 7 Permanent Cost Control Jobs in Central London

optimising large-scale Microsoft Azure environments. This is a hands-on role where you’ll own cloud reliability, automation, security, disaster recovery, and cost optimisation. You’ll work closely with engineering, security, and operations teams to support modern CI/CD and DevSecOps practices, while helping drive continuous improvement … across cloud platforms. If you enjoy building resilient cloud platforms, automating everything you can, and keeping a close eye on performance and cost, this role will suit you well. What you’ll be doing Cloud Operations & Reliability: Manage and support SaaS, IaaS, and PaaS in Azure. Monitor performance, availability ...

preferred 1+ year of Supervisory experience preferred Strong written and oral communication skills Strong Technical Background Strong Client relationship skills Familiarity with budgets and cost control Operational logistics experience Works well under pressure Ability to manage multiple complex job functions within a fast-paced environment MS Office experience ...

prominent client of ours are seeking an experienced FinOps professional on a remote basis, to lead cloud financial management activities, focusing on cost optimisation, waste reduction, and effective resource utilisation across public cloud environments, including Azure and AWS. The role will be responsible for driving FinOps best practices, enabling … stakeholders through training and guidance, and ensuring a smooth transition of responsibilities into a long-term internal capability. Key Responsibilities Cloud Cost Optimisation and Waste Reduction Identify inefficiencies in cloud usage and implement cost-saving measures. Promote and embed best practices for efficient cloud consumption. Stakeholder Engagement Work ...

response patterns Applying governance, risk and compliance principles within client environments Supporting releases, environments and handover into client operations Ensuring reliability, reproducibility, performance and cost controls Reusable Assets & Consulting Capability Building As part of a consulting-led engineering practice, you will: Build reusable accelerators, agent patterns and technical templates ...

lawyers on disclosure obligations, proportionality, and the use of technology and AI Manage and maintain e-disclosure platforms and databases, including configuration, workflows, quality control, and optimisation Oversee and manage document review teams and temporary resource, ensuring delivery, quality, and efficiency Work closely with the Innovation team … Collaborate with IT, Knowledge, and Risk teams to ensure compliance, security, and best practice Identify and implement process improvements to enhance efficiency, consistency, and cost control across disclosure exercises Deliver training and guidance to lawyers and colleagues on e-disclosure processes, technology, and emerging tools eDiscovery & Litigation Support ...

bounded autonomy, deterministic fallbacks. Context/session handling (TTL memory), prompt/tool contracts, tool registry hygiene Build production practices around AI: Evals, monitoring, cost controls (token budgets, caching), model routing, prompt versioning, safe rollout Own production health: Logging, metrics, tracing, dashboards, alerting, post-mortems Improve resilience: Rate limiting … flags, safe deployments Work deeply with DevOps on AWS infrastructure, performance, and reliability: Containerised deployments, networking/security boundaries, secrets, scaling, environment management Own cost/performance trade-offs: Cloud cost monitoring, AI cost optimisation, workload tuning, capacity planning Security, Compliance & Customer-Facing Work Build security into ...

selection, standardized patterns for tools, memory, guardrails, evaluation, and observability Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible … notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model ...