3 of 3 Cost Optimisation Jobs in West 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 ❯

Do ✅ Drive day-to-day DevOps execution across squads ✅ Implement automation and infrastructure templates ✅ Maintain operational stability through monitoring and proactive maintenance ✅ Champion security, compliance, and cost optimisation ✅ Develop and enforce standards for documentation and operational readiness ✅ Lay the foundation for a centralised DevOps function What We’re Looking For Hands-on AWS expertise (IAM, networking, ECS 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 ❯