16 of 16 Permanent Cost Optimisation Jobs in Glasgow

enable consistent, high-quality technology services for all group businesses. You will drive best practice in cloud security, governance, and cost optimisation, while supporting modernisation of applications and infrastructure. This is a unique opportunity to lead from the front-moving the organisation from reactive infrastructure management … management, and monitoring Work with security stakeholders to enforce governance and audit readiness Work alongside FinOps capability to: Embed cost visibility and optimisation into platform design Drive: Business-aligned cost transparency Service Reliability & Operational Readiness Ensure all cloud services are: Fully supportable (aligned to ITSM ...

production environments. In-depth Google Cloud development experience -architecting, building, deploying, and operating production cloud-native workloads using core GCP services; understanding cost optimization and security best practices Proficiency in automation and continuous delivery -designing and implementing CI/CD pipelines, infrastructure automation, and deployment strategies Advanced understanding ...

policy-as-code, automated governance controls and AI-assisted security scanning as standard elements of platform delivery Design for platform resilience, FinOps and performance optimisation — using AI-driven telemetry and observability to anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns — designing … Hands-on experience designing or operating agentic platform capabilities or AI-driven autonomous operations in production Cloud FinOps leadership and platform cost optimisation at enterprise scale Experience contributing to commercial propositions, bids or client-facing accelerators Infrastructure as Code experience at enterprise scale (Terraform, Bicep, CloudFormation ...

analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value. Familiarity with infrastructure as code to ensure architectural consistency and deployment scalability. Able to inspire ...

encryption, network segmentation, and auditability Improve platform reliability through observability tooling logging, metrics, and tracing alongside alerting, incident response practices, and performance and cost optimization Collaborate with stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide ...

multi-cloud or hybrid infrastructure environments Experience contributing to platform engineering or internal developer tooling initiatives Background in capacity planning, performance engineering, or cost optimization at scale #J-18808-Ljbffr ...

multi-cloud or hybrid infrastructure environments Experience contributing to platform engineering or internal developer tooling initiatives Background in capacity planning, performance engineering, or cost optimization at scale ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most ...

identity services Experience with monitoring, logging and operational support processes Experience with Kubernetes or OpenShift platforms AWS experience FinOps and cloud cost-optimisation experience Experience within utilities, energy or regulated industries Knowledge of security and compliance frameworks Experience supporting cloud migration programmes Why prosource.it? Technology is constantly ...

releases and deployment activitiesAWS Cloud Engineering* Design deploy and manage AWSbased infrastructure and services* Implement cloud best practices for security availability scalability and cost optimization* Manage and support AWS services such as: + EC2 + ECSEKS + Lambda + RDS + S3 + CloudWatch + IAM + ...

cloud-native solutions, set architectural direction, drive CI/CD maturity, and lead cross-team collaboration with a focus on reliability, security, and cost optimization. Umbrella-style engagement and IR35 considerations apply. #J-18808-Ljbffr ...

roadmaps, aligning business and technology transformation and standing up new AI and agentic services. Your focus will be on driving operational improvements and cost reduction, enhancing customer experience and strengthening market competitiveness.You will bring deep knowledge of the GB retail energy market, gained through experience working … technology-driven transformation programmes.Our support spans traditional B2C and B2B energy retail market challenges, billing, CRM, debt management and operational and cost optimisation, while also enabling innovation through leveraging emerging technologies such as agentic AI, helping clients position themselves as market leaders.As part of your role ...

role sits in a One Service Tower model, collaborating with Applications, Infrastructure and Data teams to enable consistent technology services and cost optimisation across #J-18808-Ljbffr ...

operations across multiple environments. In this role you will collaborate with experienced engineers, support monitoring and security, and contribute to platform resilience and cost-optimisation. #J-18808-Ljbffr ...

/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 ...

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 ...

frameworks. Hands-on experience deploying and operating models incloud production environments, including training/tuning workflows, inference operations, monitoring, and performance/cost optimization. Strong technical depth inLLMs/SLMs, including model selection trade-offs (latency/cost/quality), fine-tuning/adaptation where appropriate ...