401 to 425 of 473 Cost Optimisation Jobs in the UK

/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex … operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. #J-18808-Ljbffr ...

with the pipelines that deploy it. Plan and deliver platform upgrades, lifecycle work and technical improvements. Improve platform reliability, resilience, security, observability and cost efficiency. Work with engineering and operational teams on safe deployments, incident response and service readiness. Share technical direction through design reviews, code reviews, troubleshooting … availability, backup, disaster recovery, failover and capacity management. Experience with monitoring, logging, tracing and actionable alerting. Knowledge of cloud security, vulnerability management and cost optimisation. The judgement to balance delivery pace with reliability, security, supportability and cost. Clear communication and a collaborative approach to working across technical teams. ...

/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex … operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments ...

Osborne Clarke is seeking a FinOps Manager for its Bristol office to lead cloud cost governance and optimise cloud investments. You will work with IT, Finance, Engineering and Risk teams to embed cost awareness in cloud architecture and DevOps, driving data-driven cost insights … governance across the firm. You will enhance FinOps maturity, implement cost-saving measures, and build dashboards with real-time visibility for leadership reviews. #J-18808-Ljbffr ...

Lead support planning, prioritisation and resource allocation. This includes delivery mechanism decisions (e.g. internal Vs 3rd party resource blend) for cost-effective optimisation of outcomes. Ensure ongoing delivery of maximised product value aligned with strategic objectives. Provide clear support and app management leadership by making evidence-based … assigned support/system management activity, ensuring partners are held to account for quality, pace, value, risk management and agreed outcomes Design, cost and implement support delivery models for new applications/deliveries as they arise. Ensure smooth service transition of change delivery into live support. Work with ...

schemas, and lakehouse/medallion architecture patterns. Data Governance & Operations: Practical experience implementing data catalogues, lineage, access controls, data quality checks, and monitoring. Cost Optimization: Experience implementing cost controls, platform monitoring, and optimizing data compute/storage expenses. Clearance: SC clearance, or eligibility for it. Desirable ...

scales its cloud-based platform and services. This role is designed to establish a cloud financial management capability that fosters operational efficiency, cost transparency, and long-term sustainability. You will bridge the Engineering, Finance, and Product teams, driving visibility and accountability in cloud expenditures. Your efforts will enable … which is essential for TradingHub's growth while ensuring financial discipline.The position focuses on optimizing cloud investment to maximize value, identifying opportunities for cost reduction, and ensuring that the company maintains a strategic approach to its cloud resources.## Key Responsibilities- Oversee cloud cost management and optimization ...

of ownership analysis. Challenge and support technology spend to maximise business value and return on investment. Drive IT cost transparency and optimisation across cloud, software, infrastructure, projects and vendors. Partner with Procurement and IT on vendor spend, contracts and commercial opportunities. Support technology transformation programmes … desirable. What Success Looks Like Success in this role will include accurate and timely IT financial planning, improved cost transparency and optimisation, high-quality investment decisions, effective financial governance, and stronger returns from technology investment. ...

promotion Automate deployment with Databricks Asset Bundles, Terraform or Bicep, and Azure DevOps or GitHub Actions Tune performance and cost, including Spark optimisation and cluster and warehouse design Mentor engineers within the client team, including code reviews and knowledge transfer Work alongside the Data Architect, enterprise architects ...

data centre exit plan with named workloads, waves and dates. VDI consolidation roadmap approved, with the first platform migration wave delivered. Baseline infrastructure cost model established, and a measurable reduction path committed. Own the target-state infrastructure architecture across end-user compute, data centre estate and cloud … drive the consolidation of three historically separate estates into one coherent, cost-managed platform. This is a consolidation and exit role as much as a design role: the measure of success is estate reduction, not estate growth. Duties and Responsibilities Define the target-state infrastructure architecture spanning virtual ...

retraining pipelines, drift detection, automated testing, and continuous improvement. Build and manage evaluation frameworks for agentic AI systems, assessing output correctness, safety, latency, cost efficiency, and overall performance. Implement observability, tracing, monitoring, and debugging capabilities through Amazon Bedrock AgentCore Observability and related tools to ensure system transparency … drift detection, automated retraining, testing, and production operations. Familiarity with AI observability and evaluation practices, including tracing, debugging, safety assessments, latency measurement, and cost optimization for agentic systems. Experience delivering scalable cloud-based AI solutions capable of supporting high-volume enterprise workloads, with strong architectural judgement ...

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 & Modernisation Lead design and implementation of cloud platforms … 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 ...

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 & Modernisation Lead design and implementation of cloud platforms … 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 ...

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 & Modernisation Lead design and implementation of cloud platforms … 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 ...

process. The role holds delegated authority to approve or block technical designs based on standards compliance, technical risk, security, resilience, recoverability, operational supportability, cost effectiveness, and implementation readiness. Working closely with Enterprise Architecture, Cloud Architecture, Cyber Security, engineering teams, country IT teams, and managed service providers … infrastructure initiatives. Reviews technical solutions and validates alignment with functional and non-functional requirements including availability, resilience, disaster recovery, security, observability, supportability, and cost optimisation. Escalates material technical risks, unresolved design conflicts, and policy exceptions through appropriate governance channels where required. Technical Governance & Change Approval Operates ...

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 ...

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 ...

nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce ...

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 ...

portfolio. Accountable for the end‐to‐end architecture from early shaping through production transition, including agent topology, orchestration patterns, runtime selection, guardrails and cost to serve, together with retrieval and memory, enterprise integration, security, resilience, observability and human oversight. The role operates across several pods concurrently rather than … graceful degradation. Set model selection and routing strategy across proprietary and open‐weight models and cloud AI platforms, with a defensible position on cost, latency and reliability, as well as quality, safety, data residency, vendor lock‐in and supportability. Design the control plane, including segregation of duties, approval ...

transit, and access control. Contribute to automation and standardisation using Terraform, PowerShell, agreed runbooks, and reference architectures. Deliver engagements to agreed time, cost, and quality targets, communicating progress, risks, and dependencies clearly and flagging scope change early. Work with operational teams to ensure environments are supportable, resilient … Azure Monitor. Working knowledge of Azure identity and access management (Entra ID, Entra Connect, RBAC, Conditional Access), Infrastructure as Code, and Azure cost optimisation. Working knowledge of PowerShell and Terraform for administration, automation, and standardisation. Understanding of security hardening, PKI, and compliance baselines such ...

coaching junior engineers, sharing knowledge, and raising the technical bar across the team. Leading improvements in system performance, incident resolution processes, and cost optimization, balancing operational efficiency with stability and proactively identifying risks. Owning deployment automation and modular development practices, and building and maintaining custom integrations with other … systems and architectures, including defining system boundaries and planning for long-term scalability. Strong operational excellence background: deployment automation, monitoring, incident resolution, and cost optimization. Experience with multi-channel environments, including voice, email, social, chat/chatbots, and automations. Experience mentoring junior engineers and coordinating work across cross ...

delivery of enhanced service management capabilities, processes, and operating models aligned to ITIL v4, DevOps, and Agile, driving innovation, agility, service quality, and cost optimisation.* Modernisation & Integration: Guide clients through holistic service framework evolution across governance, skills, culture, tooling, and organisation. Apply SIAM methodology and Lean principles … externally, and influencing skills to support sales generation. • Practical experience managing and implementing cloud centres of excellence, ITIL frameworks, SIAM models, Operating Models, AI optimisation and understand hybrid/multi-cloud environments, DevOps, CI/CD, Lean and Agile Methodology.The following are advantageous: • Currently working in a Consulting firm ...

lexicon, and domain-specific tasks that are currently brittle in prompts Investigates inference efficiency and tokenomics: cost-per-output, model routing, and optimisation of production inference Prototypes voice and image/multimodal capabilities (speech-to-text, text-to-speech, voice agents, document and image understanding) to underwrite … benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR ...