426 to 450 of 504 Cost Optimisation Jobs in England

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 ...

roadmaps aligned with requirements and defence security standards.Establish infrastructure design patterns, standards and best practices across the organisation.Lead capacity planning, scalability assessments and infrastructure optimisation initiatives.Evaluate emerging technologies and recommend adoption strategies based on business and security requirements.Platform Implementation & ModernisationLead design and implementation of cloud platforms (AWS, Azure … government IT environments.Deep expertise in infrastructure architecture patterns and design methodologies.Strong knowledge of cloud platforms (AWS, Azure, or equivalent), including services, scaling and cost optimisation.Extensive experience with virtualisation technologies (VMware, Hyper-V, or KVM).Proficiency in storage technologies, SAN/NAS architectures and backup/recovery solutions.Strong networking ...

Deliver proactive technical expertise and drive continuous improvement (Tier A included): posture and coverage advisory, tuning/noise reduction, cost/retention optimisation, automation uplift. Own technical deliverables: automation/playbooks where in scope, custom analytics and workbooks. Drive the operational health-check catalogue as scheduled workstreams … trusted advisor , owning the technical customer relationship Experience balancing reactive support (tickets, troubleshooting) and proactive improvement Capability to deliver continuous improvement initiatives (tuning, optimisation, automation) Experience creating technical deliverables (playbooks, dashboards, analytics, reports) Knowledge of defensive security domains (pentest, IR, EASM, DLP, tabletop exercises) Ability to identify security gaps ...

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 ...

architecture (Bronze/Silver/Gold layers) Data quality frameworks Schema evolution andoptimization Perform Databricks performancetuning: Cluster optimization Spark job optimization Query tuning Cost optimization Implement Databricks governanceand security using: Unity Catalog Access controls Data lineage Audit capabilities Lead migration projectsfrom legacy dataplatforms to DatabricksLakehouse. Define best practicesfor … Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse solutions. Strong troubleshooting andperformance optimizationskills. Ability to leadtechnical discussions withenterprise stakeholders. #J-18808-Ljbffr ...

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 ...

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 Role You will join a small, high-leverage team building production infrastructure for Generative AI at the company and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine ...

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 ...

continuous improvement across system performance, reliability, observability and operational excellence. Promote architecture decisions that balance customer experience, technical quality, speed of delivery and cost efficiency. Leadership & Collaboration Lead, coach and develop a multidisciplinary architecture and technical quality team, creating a culture of collaboration, innovation and continuous improvement. Build … platform reliability approaches, with exposure to tools such as Datadog being advantageous. Experience balancing technical excellence with commercial considerations, including scalability, performance and cost optimisation. Strong stakeholder management skills, with the ability to influence technical and non‐technical audiences. Experience leading and developing high‐performing architecture or technical ...

infrastructure (vector stores, eval platforms, AI gateways, model routers, agent frameworks), and own the technical rationale behind themDrive cost, latency and throughput optimisation across our production GenAI systems, with the trade-offs documented and explicitDefine our principles for emerging paradigms, including multi-agent protocols, multimodal systems … code: Python and modern API-driven architectures on cloud infrastructure (AWS or equivalent), with the production engineering instincts (CI/CD, observability, SLOs, cost attribution) to take prototypes through to hardened productionCurrent, hands-on expertise across the GenAI stack: LLM APIs, prompt engineering, RAG (hybrid retrieval, chunking strategy ...

standards and expectations.Our projects are diverse, and your focus could include value creation, commercial and operational excellence, revenue growth, cost and margin optimisation and operating model design.Our culture is highly collaborative and team-oriented, and our people enjoy a hybrid work model, balancing client proximity, the convenience … delivering transformation engagements for clients across various tech intensive industries.experience in value creation, commercial or operational excellence, revenue growth, cost and margin optimisation and operating model design, programme recovery and turnaround.Additional InformationOn top of this role being an exciting career opportunity, we offer many attractive benefits, including ...

maintain RBAC/OIDC access controls and disciplined API key lifecycle management across the platform. Build caching layers and cost/latency optimisation strategies, and the adoption and reuse analytics that show whether the platform is actually being used. Contribute to API design, versioning, and promotion workflows ...

maintain RBAC/OIDC access controls and disciplined API key lifecycle management across the platform. Build caching layers and cost/latency optimisation strategies, and the adoption and reuse analytics that show whether the platform is actually being used. Contribute to API design, versioning, and promotion workflows ...

maintain RBAC/OIDC access controls and disciplined API key lifecycle management across the platform. Build caching layers and cost/latency optimisation strategies, and the adoption and reuse analytics that show whether the platform is actually being used. Contribute to API design, versioning, and promotion workflows ...