sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in More ❯
sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in More ❯
sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable … in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter More ❯
at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, training models, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models (ideally image or video models). Experience in training models is a must! If you have built models, even better. Experience More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
Technical Expertise Cloud-Native Architectures: - Deep understanding of AWS, Azure, and GCP services, including compute (EC2, Lambda), networking (VPC, Transit Gateway), storage (S3, Blob), and container orchestration (ECS, Fargate, Kubernetes/EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing (NLP), model lifecycle … employer. Please note we are on the client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Huxley Associates
AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS), Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything Role details … US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS. You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance. You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration … with Azure API Management and Application Gateway. Skills, Knowledge & Experience Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA Infrastructure-as-code using Bicep or ARM templates Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps) API Gateway, Azure API Management (APIM), Azure Application Gateway Monitoring tools such as Prometheus, Grafana, and Azure Monitor Understanding of secure More ❯
