251 to 275 of 316 Cost Optimisation Jobs in London

agent workflows, and tool/function calling.Establish best practices for LLMOps, MLOps and AIOps, including evaluation, observability, model routing, cost and latency optimisation, and secure deployment.Lead the development of reusable AI accelerators, patterns and reference architectures, and champion market-leading practice across the capability.Responsible AI, Security & GovernanceEstablish … designing end-to-end AI architectures that incorporate modern AI or agentic capability at enterprise scale.Overall responsibility and accountability for programme delivery, managing cost, quality and business outcomes with minimal oversight, and effectively leading large teams across multiple workstreams.Experience leading solution implementations and AI programmes for medium ...

supporting live systems, this team also acts as a centre of excellence, guiding project teams in adopting best practices across DevSecOps, observability, and cost optimisation. Key Responsibilities: Build, maintain, and support production and demo environments Automate infrastructure provisioning and deployment workflows (Terraform, GitHub Actions, GitOps) Package and deploy … GitOps: GitHub Actions, ArgoCD/Flux Security: Cloud access models, Zero Trust principles Programming: Python or Golang preferred; Bash scripting Databases & Pipelines: PostgreSQL optimisation, Kafka integration Excellent problem-solving skills, with the ability to troubleshoot complex issues quickly The Details: Contract: 6 months (multiple extensions likely) IR35: Inside Location ...

behave. Additional Job Description Key Responsibilities Lead the design and evolution of a global AI/ML platform supporting high scale, secure, and cost-efficient workloads across cloud and on prem environments for Markets, Banking, Research, and Operations use cases Deliver hands on engineering solutions using Python … platform delivery including development, production support, monitoring, and incident management Drive operational excellence with strong focus on reliability, performance, cost optimization, and automation Establish and enforce governance, security, and compliance frameworks for AI and data platforms Partner with business, technology, and risk stakeholders to align platform capabilities with ...

sensitive content.Produce architecture diagrams, decision records, and technical standards.Guide and mentor engineers on cloud best practices and patterns.Define non-functional requirements (availability, resilience, cost, observability).Partner with security and compliance to meet enterprise controls.Support build-vs-buy decisions and technology evaluations.QUALIFICATIONSBachelor’s Degree in Computer Science … attribute-based access control (RBAC/ABAC).Infrastructure-as-code (Terraform/CloudFormation) and containerization (Docker/Kubernetes).Strong grasp of networking, IAM, cost optimization, and observability tooling.Ability to work within an established enterprise engineering lifecycle and hit the ground running.Excellent stakeholder communication and technical leadership skills.WHO ...

resolve technical blockers.Assess current environments (Jira, Confluence, etc.) to define architecture, identify risks, dependencies, potential challenges, and establish mitigation plans.Design scalable, secure, and cost-efficient solutions, creating architectural documentation including integration flows and data models.Define and enforce governance, best practices, and security measures for configurations, customisations, and user … Stakeholder ManagementAct as the subject matter expert for all Atlassian tools, advising senior stakeholders on platform strategy, licensing models, Cloud Enterprise adoption, and cost optimisation.Drive organisational adoption, coach teams, and guide product owners, administrators, and developers.Facilitate workshops with Agile coaches, engineering leaders, and ITSM/operations stakeholders.6. Delivery ...

United Kingdom seeks a senior enterprise services sales leader to own the UK&I portfolio, driving revenue growth, margin improvement and cost optimization across accounts. You will lead integrated sales and delivery strategy, aligning growth plans with solution selling and high-quality service execution, while acting ...

client engagement capabilities. Familiarity with procurement systems and category management is essential.Key ResponsibilitiesLead projects relating to IT procurement, including category management, cost optimisation and client advisory support on best practicesProvide clients with thought leadership and insights as a Subject Matter Expert on IT procurement, such as hardware ...

Asset Manager to lead the transformation of our hardware asset management (HAM) function across EMEA, ensuring full lifecycle governance, audit readiness, and cost optimisation. Role requirements Must come from a large regulated FS environment, preferably banking but could be insurance. Greenfield environment Real experience of building out frameworks ...

Asset Manager to lead the transformation of our hardware asset management (HAM) function across EMEA, ensuring full lifecycle governance, audit readiness, and cost optimisation.Role requirementsMust come from a large regulated FS environment, preferably banking but could be insurance.Greenfield environmentReal experience of building out frameworks not just working ...

Asset Manager to lead the transformation of our hardware asset management (HAM) function across EMEA, ensuring full lifecycle governance, audit readiness, and cost optimisation. Role requirements Must come from a large regulated FS environment, preferably banking but could be insurance. Greenfield environment Real experience of building out frameworks ...

Risk Indicators (KRIs) and govern accordingly. Produce regular KPI, MI, and risk management data for senior management.Responsible for identifying cost-saving and optimisation opportunities within MUS EMEA and the wider MUFG group.Operational Oversight & Technical ExecutionLead a team of Threat and Vulnerability Engineers to deliver best practice operations ...

GitHub, and CI/CD pipelines.Proven ability to partner with and work across teams to drive delivery into production.Strong problem-solving, debugging, and performance optimisation skills.Solid software engineering foundations, including version control, automated testing, and monitoring.DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning … CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based/function-calling architectures.Experience deploying and operating machine learning models/MLOps pipelines (e.g. model ...

/CD pipelines. Proven ability to partner with and work across teams to drive delivery into production. Strong problem-solving, debugging, and performance optimisation skills. Solid software engineering foundations, including version control, automated testing, and monitoring. DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning … CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based/function-calling architectures. Experience deploying and operating machine learning models/MLOps pipelines (e.g. ...

organization. This role will partner closely with senior Technology, Finance, and business stakeholders to manage the budgeting and forecasting cycle, improve cost visibility, and build scalable reporting and governance across a complex delivery environment.The successful candidate will combine strong technology finance experience with the ability to translate financial … areas such as cloud spend, software licensing, contractor and permanent developer costs, project investment, and shared technology services, while helping the organization improve cost allocation, forecasting accuracy, and overall financial efficiency.Key ResponsibilitiesTechnology Financial Management — Own financial management across the FICCT organization, including budget creation, forecasting, month-end tracking ...

capability delivery. You will own the technical platform architecture.Define key platform and user metrics which will be monitored to pre-empt issues, manage cost and mitigate problem reoccurrence ensuring safe and reliable operations.Work with platform Architects and Product Owners to assess new platform capabilities, producing formal assessment … design documentation considering enterprise level requirements and impact on Total Cost of Ownership (TCO).Work with Product Engineers to deliver high quality platform solutions to plan through the full lifecycle (design, development, test, implementation).Collaborate with the Project Manager/Scrum Lead to estimate and plan deliverables ...

Build rapport with Executives at both PE firms and their portfolio companies leveraging your understanding of enterprise architecture, merger and acquisitions, migration and cost optimization of IT infrastructure and other key technologies- Establish technical credibility with PE firms and their portfolio companies to lead discussions with CTOs, CIOs … both customer and partners across the PE segment.- Provide technical and architectural guidance to PE firms and their portfolio companies and help develop cost optimization strategies by deploying the right architecture given their budget constraints.- Evangelize and educate key stakeholders with the Private Equity ecosystem about AWS technologies. ...

future of the organisation's data strategy. The Role As Lead Data Engineer, you'll be responsible for: Leading the design, development and optimisation of a Databricks-based data platform. Designing enterprise-scale Lakehouse architectures across cloud platforms. Defining data modelling, governance, security and quality standards. Leading and mentoring … Engineers. Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives. Driving platform performance, scalability and cloud cost optimisation. What's On Offer? Salary up to £110,000. Hybrid working model. Technical ownership of a modern Databricks platform. Opportunity to influence architecture ...

caught before production. Take end-to-end ownership from discovery and design through build, rollout, and operational excellence. Instrument systems with the observability, cost tracking, and audit trails needed to know when they degrade. Apply FinOps and cost-optimization practices to AI workloads, tracking and managing … token, inference, and infrastructure spend so solutions stay cost effective as they scale. Integrate AI solutions with enterprise data systems, APIs, and MLOps/LLMOps tooling, applying sound system design and distributed-systems judgment. Apply responsible-AI judgment proportionate to the risk of each use case, working with ...

across at least one hyperscaler cloud — and conversant across several — you bring deep, current knowledge of AI/ML services, accelerators, interconnects, and cost levers, and you continuously scan the horizon to identify promising emerging technologies and judge where and when they belong in a real solution. … elevate the architect community, and are ultimately accountable for ensuring the firm delivers AI/ML infrastructure that meets business SLAs, controls cost, scales to frontier workloads, and creates lasting business value. THE WORK Set the overarching technical vision and strategy for compute infrastructure supporting large-scale ...

teams and accelerate BAU and delivery programsExperience in Azure Networking (vWAN, Azure Firewall, Express Route) and Azure Policy GovernanceAdept in Azure FinOps/Cost OptimisationIn-depth knowledge around infrastructure automation and orchestration (e.g., Ansible, Terraform, GitLab)Technical … proficiency in Microsoft Technologies, Ubuntu, Red Hat, VMWare VCF, Data Centre, Enterprise networking, WAN/LAN/WLAN, Routing, Firewall, IDS/IPS, WAN optimisation, ZTNA services, Load BalancingStrong understanding of Infrastructure Security, PAM, IAM, and Cloud AuthenticationBenefits:Opportunity to contribute to a significant infrastructure transformation projectHybrid working model ...

primitives.Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation.We’re excited about you because...BSc … training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluationGPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuningExperience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic ...

technical direction for the future of the company's centralised GenAI platform - including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques - enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... … training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work - multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless ...

workflows and processes, improve efficiency and drive business outcomes.Bonus Points:Building & scaling distributed systems on large-scale bare metal & virtual data center infrastructure.A cost optimization and cost-of-goods-sold focus.Professional Go programming language experience writing scripts/applications for automation, tools, dashboards, and/ ...

Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20 cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces … including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.About the RoleYou will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time ...

Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20 cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces … including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the RoleYou will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real ...