3 of 3 Remote Cost Optimisation Jobs in East London

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 ❯

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 ❯