251 jobs for “Cloud”
PhysicsX Singapore
Deliver high-fidelity multi-physics CFD simulations, from geometry clean-up and meshing to post-processing and validation against experimental data. Build parametric CAD models and automate simulation pipelines for design optimisation and DoE, generating datasets for machine learning surrogates. Partner directly with customers on-site and mentor junior colleagues.
PhysicsX Singapore
Lead the deployment of ML models and engineering surrogates—deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, and optimisation—into customer production environments. Own scoping, architecture, and success metrics for data/ML systems built with Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow across cloud and on-prem. Mentor engineers and data scientists while travelling 3-4 weeks per quarter to customer sites worldwide.
CrowdStrike United Kingdom
Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works in a distributed team on cross-platform deliverables, leading projects from design through testing and demo.
CrowdStrike Redmond, United States US$140,000 – US$215,000 pa
Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift from legacy vaulting to just-in-time, zero-standing-privilege access across endpoints, infrastructure and cloud. Works with designers and other product teams to build frictionless elevation experiences and secure secrets, non-human identities and brokered admin sessions using Falcon telemetry and AI. Hybrid role with at least two days a week in office.
Databricks London
Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.
Databricks London
Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.
Palo Alto Networks London
Designs and plans privileged account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Acts as a technical expert across the customer journey, advising on best practices, risk and deployment approaches while resolving escalations and building relationships.
Palo Alto Networks Warsaw, Poland
Designs and plans Idira privileged-account security solutions for customers, coordinating with implementation, sales and product teams to ensure architectures meet standards and are executed as planned. Acts as a technical expert across enterprise networking, databases and vulnerability management, advising on best practices and managing the full customer journey.
Faculty London
Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.
Scale AI London
Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.
Scale AI London
Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.
Darktrace Cambridge
Owns the Network Detection and Response product roadmap end to end, deciding what gets built and in what order. Works directly with customers running zero-trust, cloud-connected and segmented estates, partners with R&D on prioritisation and testing, and supports Product Marketing on launches and go-to-market. Acts as internal subject matter expert for the NDR portfolio.
Ocado London
Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.
Darktrace London
Owns the end-to-end roadmap for Darktrace's Network Detection and Response product, deciding what gets built and in what order. Works directly with customers running complex zero-trust, cloud-connected and segmented estates, partners with R&D on prioritisation and testing, and supports Product Marketing on launches and go-to-market. Acts as the internal subject matter expert for the NDR portfolio.
Medtronic London £76,800 – £115,200 pa
Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.
