19 of 19 Cost Optimisation Jobs in the North West

ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority … Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic More ❯

ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority … Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic More ❯

ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority … Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic More ❯

ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority … Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic More ❯

ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning. Deliver clear progress, risk, and priority … Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders. Comfortable working in a fast-paced, collaborative environment with strategic More ❯

Sector) - Manchester/Hybrid (Enterprise Architect, Technical Architect, Solutions Architect, Business Architect, Lead Developer, Insurance, System Architecture, Applications Architecture, Client Engagement, IT Operations, IT Strategy, IT Cost Optimisation, Cloud, Agile, Enterprise Architect, Technical Architect, Solutions Architect, Business Architect, Lead Developer, Urgent) Our client is a global innovator and world leader with one of the most recognisable names … digital transformations to enable them to transform their business through technology-enabled change. You will be expected to provide credible advice on IT Operations, including commercial structure and cost control, develop IT strategies collaboratively with client teams and design IT operating models that address client challenges. The ability to identify emerging trends in the market, develop products and … + Pension + Benefits (Enterprise Architect, Technical Architect, Solutions Architect, Business Architect, Lead Developer, Insurance, System Architecture, Applications Architecture, Client Engagement, IT Operations, IT Strategy, IT Cost Optimisation, Cloud, Agile, Enterprise Architect, Technical Architect, Solutions Architect, Business Architect, Lead Developer, Urgent) NOIRUKTECHREC NOIRUKREC More ❯

driven, or serverless architectures Understand regulated fintech environments, particularly FCA/PCI DSS Be experienced with GitOps and infrastructure delivery pipelines (e.g. ArgoCD) Be familiar with cost optimisation and performance tuning in cloud environments Demonstrate leadership in technical initiatives or mentoring junior engineers Benefits Competitive salary 30 days holiday per year plus Bank Holidays Opportunity to work More ❯

Investigate and resolve incidents efficiently Expertise required... Proven experience in automating deployments and managing configuration at scale Deep understanding of AWS services (EC2, EKS, RDS, Aurora), networking, and cost optimization Hands-on experience with IaC tools like Terraform or CloudFormation Strong Linux administration skills Solid grasp of containerization and orchestration (Docker, Kubernetes) Knowledge of networking fundamentals and protocols More ❯

Investigate and resolve incidents efficiently Expertise required... Proven experience in automating deployments and managing configuration at scale Deep understanding of AWS services (EC2, EKS, RDS, Aurora), networking, and cost optimization Hands-on experience with IaC tools like Terraform or CloudFormation Strong Linux administration skills Solid grasp of containerization and orchestration (Docker, Kubernetes) Knowledge of networking fundamentals and protocols More ❯

improve usability M365 and other SaaS tools. Change Enablement Ability to support change management efforts, including training, communications, and stakeholder engagement to drive adoption of new tools. Licensing & Cost Optimization Awareness of licensing models for M365 and other SaaS platforms, with experience in optimizing usage and cost. E nvironment build and application configuration InTune & AutoPilot End-User Support More ❯

improve usability M365 and other SaaS tools. Change Enablement Ability to support change management efforts, including training, communications, and stakeholder engagement to drive adoption of new tools. Licensing & Cost Optimization Awareness of licensing models for M365 and other SaaS platforms, with experience in optimizing usage and cost. E nvironment build and application configuration InTune & AutoPilot End-User Support More ❯

tools focused on performance, scalability and resilience Manage backend cybersecurity, ensuring compliance through SAST, SCA and DAST scans Develop and maintain monitoring solutions, tracking and delivering cost optimisation initiatives Provide infrastructure input into development planning and architecture discussions Collaborate with UI, DevOps and Test Engineers on cross-functional improvements Maintain backend systems, shared libraries and support tools … What we'll need from you: Strong backend development experience (C#/.NET) with secure coding, architecture and code review expertise In-depth understanding with cloud infrastructure and resource optimisation (Azure preferred) Experience with CI/CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation/orchestration (Docker/Kubernetes) Strong collaboration and More ❯

Job summary We are seeking a skilled and strategic Lead Infrastructure Engineer - FinOps to drive cost efficiency and financial accountability across UKHSA's cloud platforms. This role sits within the Platform Engineering team and focuses on embedding FinOps principles within the design, delivery, and operation of cloud services. You will work closely with finance, engineering, and cloud governance … Lead financial governance across Amazon Web Services (AWS) and Azure environments in collaboration with the Cloud Centre of Excellence. Provide technical and financial oversight of platform costs, forecasting, and optimisation activities. Guide stakeholders on cloud financial performance, usage trends, and operational spend planning. Drive and facilitate implementation of chargeback/showback strategies across services. Partner with Corporate Finance and … Ensure platform management tooling supports visibility of cost drivers and consumption. Develop dashboards, reports, and Key Performance Indicators (KPIs) for senior leadership on cloud financial performance. Identify optimisation opportunities and steer engineering initiatives to drive efficiencies. Support agile planning and scoping of infrastructure financial controls and enhancements. Lead communication of FinOps practices across teams, building technical capability More ❯

whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What … with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. Keeping an eye on what's next - new More ❯

whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What … with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. Keeping an eye on what's next - new More ❯

whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What … with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. Keeping an eye on what's next - new More ❯

whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What … with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. Keeping an eye on what's next - new More ❯

whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What … with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable. Keeping an eye on what's next - new More ❯

frameworks to streamline DSP workflows while ensuring compliance with global audio standards - Performance & Analytics: Establish performance measurement systems to optimize DSP algorithms for clarity, latency, and dynamic response. - Cost Efficiency: Implement cost-effective DSP software strategies by optimizing development processes, resource utilization, and licensing models. Operations - DSP Software Development & Integration: Lead the development and integration of … AI-enhanced DSP, digital twin technologies, and advanced simulation for real-time audio. - Automation & Tooling: Hands-on experience in automating DSP workflows for tuning, testing, and compliance validation. - Cost & Performance Optimization: Proven ability to balance cost efficiency with high-fidelity audio processing and performance. More ❯