1 to 25 of 29 Cost Optimisation Jobs in Central London

benefits (financial & non-financial) of technology transformation while ensuring it aligns with business objectives Supporting clients define and execute technology cost optimisation programmes across legacy, on-prem, hybrid cloud, SaaS, and AI deployments Support clients to design and mobilise FinOps/TokenOps capabilities for hybrid cloud, SaaS … spend to deliver cost transparency, cost control, and cost optimisation to improve ROI on technology investments Advise clients on financial management concepts (transparency, chargeback, total cost of ownership, budgeting, forecasting) within CTO using industry best practice and frameworks – e.g. Technology Business ...

Google Cloud Platform experience , including architecting, building, deploying and operating production cloud-native workloads using core GCP services. Understanding of cloud cost optimisation, security and enterprise architecture principles. Strong experience designing and implementing CI/CD pipelines, infrastructure automation and deployment strategies . Advanced understanding ...

pipeline. Run the AWS footprint. VPC and networking, ECS Fargate, DMS, S3, IAM, Secrets Manager, EventBridge provisioned as code, sized sensibly, and cost‐aware (you'll make the calls on things like NAT vs VPC endpoints). Own observability and reliability. CloudWatch alarms and dashboards, SNS alerting, data … change‐data‐capture, Kinesis Firehose, or other streaming‐ingest tooling Entra ID (Azure AD) SSO and SCIM provisioning FinOps/cloud cost optimisation A background working with regulated or financial‐services data Location: 1 day a week remote and 4 days in office @ 30 City Rd, London ...

strong engineer who has hands‐on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and taking solutions into secure, scalable, and cost‐optimised production environments using platforms such as Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio. Key Responsibilities Take ownership of technical solution design … frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework Proficient ...

Integrate modern cloud platforms with legacy systems to enable seamless data access and reporting. Establish architecture standards covering security, governance, scalability, performance and cost optimisation. Lead technical design, architecture governance and best practice across multiple data initiatives. Implement robust data governance and quality frameworks to ensure trusted, compliant ...

bring deep technical expertise and a strategic mindset to: * Drive high-quality platform design and engineering standards * Enable automation, reliability, and cost optimisation at scale * Embed best practices that simplify and standardise how we build and run services In addition, this role will play a key part … Deep understanding of cloud security frameworks, identity management, and compliance standards (e.g., ISO, SOC, GDPR). Proven ability to design scalable, resilient, and cost-efficient cloud solutions in enterprise environments. Strong analytical skills to resolve complex technical challenges and make strategic decisions. Effective communication skills, with the ability ...

across applications, data, AI, security and integration • Work with senior stakeholders and present architecture and strategy at executive level • Drive cloud cost optimisation, resilience, performance and observability • Mentor architects, managers and consultants across the wider team • Help clients adopt modern cloud-native technologies and engineering practices What ...

enterprise security and regulatory requirements. Lead architecture reviews and provide guidance on cloud‐native and highly resilient application designs. Drive capacity planning, performance optimization, cost management, and operational efficiency initiatives. Establish engineering guardrails, governance controls, and deployment standards for production environments. Support organizational transformation toward DevOps … Ability to influence technical direction across multiple engineering organizations. Desired Skills Experience building and managing enterprise‐scale observability platforms. Knowledge of FinOps, cloud cost optimization, and operational efficiency practices. Experience with secret management platforms such as HashiCorp Vault, Akeyless or cloud‐native alternatives. Familiarity with Chaos Engineering ...

partner with customers, authors, editors, and Elsevier colleagues to drive intelligent automation, frictionless personalised experiences, and streamlined processes that support cost optimisation and growth. We provide the expertise to understand business challenges and translate them into practical, responsible AI-enabled solutions. About the Role The Senior Business … capabilities. Responsibilities Partner with business and product teams to identify opportunities where AI agents, automation, and data unification can remove friction, reduce cost, or improve customer/employee experience Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data ...

function Partner with Product, Engineering, Data Science and senior leadership to turn data into commercial value Own budgets, vendors and cloud cost optimisation What we're looking for You'll have 12+ years' data engineering experience, including substantial leadership experience, and a proven track record of designing ...

Data Vault approaches. Design solutions integrating modern and legacy technology platforms. Establish architecture best practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore ...

Knowledge of regulatory requirements and governance frameworks (e.g., ISO 27001, NIST). Budgeting & Resource Allocation Strong financial management skills, including budgeting, forecasting, and cost optimisation. Experience managing multi-million-pound technology budgets and maximising ROI. Innovation & Future-Proofing Passion for emerging technologies such asAI andIoT Ability to evaluate ...

Copilot Studio, Power Platform, Azure and Microsoft 365 Establishing reusable architectural patterns and engineering standards Considering security, governance, performance, resilience, data residency and cost throughout solution design Providing technical direction and mentorship to engineers Supporting client conversations, technical discovery, proposals and pre-sales activity Presenting complex technical concepts … Automate/Dataverse Azure and Microsoft 365 Python and/or TypeScript APIs, integrations and data architecture AI governance, security and cost optimisation Technical consulting, stakeholder management or pre-sales Why Consider This Role? This an opportunity to join at an unusually interesting point in the organisation ...

operating models Cloud and applications modernisation Enterprise architecture, governance, and decision frameworks Support clients in achieving measurable outcomes, including value realisation, cost optimisation, and execution confidence. Programme Assurance & Governance Advise on the design and improvement of governance models, organisational structures, and sourcing strategies across diverse operating environments. … technology‐enabled transformation Applications modernisation Cloud transformation Data, analytics, and AI strategy Value realisation, benefits management, or programme assurance Sourcing, vendor management, and contract optimisation Personal Attributes Strong analytical, communication, and stakeholder‐management skills. High standards of integrity, discretion, and professional judgement. Bachelor’s degree required (Master’s degree ...

technical concepts in a clear, practical, and outcome-focused manner. Review existing AWS environments and recommend improvements across security, resilience, performance, operability, and cost optimisation. Produce architecture documentation, standards, reference patterns, decision records, and technical roadmaps. If you receive suspicious outreach claiming to be from us, please contact ...

Management or Software Asset Management professional to take ownership of the organisation's software, licensing and related services, ensuring they remain secure, compliant, cost-effective and aligned to business requirements. The Role You will take ownership of the strategy, governance and delivery of software and licensing services, working … including releases, patching and end-of-life. Strong vendor and supplier management experience, including contracts and renewals. Experience identifying opportunities for cost optimisation and service improvement. Good knowledge of ITIL and core IT Service Management processes . Excellent stakeholder management, influencing and negotiation skills.The ability to communicate ...

with Terraform. You will collaborate with engineering teams to realise architecture designs, review environments, and produce standards and roadmaps for security, resilience, and cost optimisation. #J-18808-Ljbffr ...

Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning … systems in production environments. Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow. Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments. Experience running production services at scale, including defining and working to service-level objectives (SLOs ...

clients through value estimation of enterprise technology investments. You will engage senior clients, engineers, and architects to design operating models and cost optimisation across hybrid cloud and AI deployments. You will build business cases, analyse technology spend, and influence decision-making with TBM concepts. This role sits ...

environments. Cyber Essentials and infrastructure security improvements. Experience with the following would be advantageous: Microsoft Intune. PowerShell scripting and automation. Azure cost optimisation, Reserved Instances and resource governance. NIST or ISO security frameworks. Microsoft technical certifications. The person Technical capability is only part of the picture. ...

Continuous Improvement & Innovation Stay abreast of Microsoft's D365 and Power Platform roadmap(Aligning with internal Chanel Power Platform Roadmap). Recommend enhancements and optimisation opportunities and contribute to the solution roadmap. 6. Solution Risk & Governance Maintain the End-to-E t solution risk register and mitigation plans. Ensure … challenge constructively, navigate differing priorities, and gain commitment to standardisation and global guardrails. Conflict resolution and negotiation: mediates trade‐offs (time/cost/risk/complexity) and drives timely decisions when teams disagree. Comfortable operating in ambiguity: creates clarity from incomplete information and maintains momentum ...

practices including IAM, encryption, and network security basics Knowledge of data warehouse and lakehouse technologies (Snowflake, Databricks) Awareness of FinOps principles and cloud cost optimization Experience supporting multiple teams or use cases with shared platform capabilities Experience building and maintaining CI/CD pipelines using GitHub Actions, including … from senior engineers is needed Make it better Look for ways to improve the platform capabilities you work on, suggesting optimizations for performance, cost, reliability, or user experience based on your observations and measurements Contribute to better developer and data scientist experience by creating clear documentation, reusable infrastructure ...

safety and quality tests for prompts, agents and end-to-end AI workflows. Implement authentication, authorisation, secrets management, audit logging, observability, token and cost monitoring, and secure deployment pipelines. Lead developers, contribute to solution design and code quality, and create reusable components, templates and engineering standards. Design … code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible AI controls and token/cost optimisation. Experience leading engineering delivery, reviewing code, mentoring developers and converting prototypes into maintainable production services. AI/ML platform technologies and services such ...

safety and quality tests for prompts, agents and end-to-end AI workflows. Implement authentication, authorisation, secrets management, audit logging, observability, token and cost monitoring, and secure deployment pipelines. Lead developers, contribute to solution design and code quality, and create reusable components, templates and engineering standards. Design … code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible AI controls and token/cost optimisation. Experience leading engineering delivery, reviewing code, mentoring developers and converting prototypes into maintainable production services. AI/ML platform technologies and services such ...

define the problem, not just the solution. Engineer AI solutions properly. Pipelines, LLM API integration, evals, guardrails, monitoring, and cost and accuracy optimisation for the systems you build. Know when a step must be deterministic and when an LLM is the right tool. Graduate tools into business … workflows. Safety and guardrails in practice: PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data processing fundamentals ...