The Logging & Inventory Cloud Engineer will work with AWS, GCP, Terraform, Python, Shell scripting, and Kubernetes. They will design and implement logging, monitoring, and inventory management solutions, develop automation, and support cloud engineering.

The CyberArk Engineer will work with CyberArk Vault (on-prem/SaaS), PVWA, CPM, PSM, PSMP, PTA, CCP/AAM/AIM, Conjur/Secret Manager, plus Active Directory, Windows Server, Linux RHEL, Azure/AWS/GCP, Entra ID, and automate with PowerShell, REST API, Python, Bash. They will lead a Privileged Access Management transformation for an investment bank, handling SaaS migration, metadata clean-up, credential onboarding/rotation, upgrades, and policy design under NIST/Zero Trust.

You will work with C#, .NET, and Azure, using GitHub Actions, Octopus Deploy, Infrastructure as Code, and observability tools like Azure Monitor or Datadog. As part of a cross-functional digital product team, you will build, deploy, and operate features across the full stack while modernizing Canada Life UK’s IT estate.

You'll work with Google SecOps (Chronicle), JAMF MDM, Google Workspace, Okta, GCP Security Command Center, Python, and Bash to build detection and incident response capabilities. This role supports ElevenLabs, an AI research and product company focused on voice, agents, creative tools, and APIs.

Manage Okta, Google Workspace, Jamf/Kandji/Fleet, Python/Bash, Cisco Meraki/Ubiquiti, and Terraform for endpoint, network, and SaaS security. You lead the IT Engineering team, balancing hands-on work with mentoring and hiring at an AI voice research company.

Barclays★3.9 (6.9k)· London

Build and run cloud services using Terraform or CloudFormation, GitLab, Python, and AWS/Azure/GCP, with Kubernetes orchestration. You will create a new digital platform capability transforming Barclays’ digital estate, focusing on customer identity and access management (CIAM).

Works with Kubernetes, Terraform, AWS/GCP/Azure, and systems languages (Rust, Go, Python) to build agent-driven automation for compute cluster lifecycle management. This team owns provisioning, updates, and decommissioning of clusters across major cloud providers and internal datacenters, ensuring high-bandwidth, secure-by-default infrastructure.

Elliptic★0.0· London

You'll lead a DevOps team owning Kubernetes/EKS platforms, service meshes (Istio/Linkerd), GitOps (Flux/ArgoCD), Terraform, Vault, OPA, and CI/CD security tooling. The company provides blockchain analytics to trace and disrupt illicit cryptocurrency laundering. The role is a hands-on team lead setting infrastructure, automation, and reliability direction.

Build and operate the distributed systems serving Claude to millions of users, using Python or Rust, Kubernetes, and cloud platforms (AWS/GCP/Azure). The Inference team handles request routing, autoscaling, and fleet orchestration across diverse AI accelerators.

You will work with Python, TypeScript, Rust, and Claude Code to build foundational infrastructure for monitoring AI models, preventing misuse, and detecting unwanted model behaviors. The Safeguards team develops systems for data storage, metrics, evaluations, and tooling for human and agentic review that operate at scale. The team size or scope is not stated.

Optimize ML inference for edge accelerators and GPUs using TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX, Python, and C++. You will run large transformer-based models efficiently on low-power edge devices to enable Wayve’s first driving product.

You will use Python, Trio, PyTorch, TensorFlow, JAX, Kubernetes, Rust, C++, and GPU clusters. The team advances reinforcement learning for large language models, improving Claude’s autonomy, coding, and reasoning capabilities.

Work with Google Cloud, Kubernetes, serverless, Terraform, Node.js (TypeScript), and CI/CD pipelines. You'll join the Platform Engineering team at Freetrade, an investing platform, to treat the platform itself as a product—building the foundational infrastructure, observability, and security that Freetrade's own engineers rely on to ship.

You’ll work with Python or Rust, Kubernetes, major clouds (AWS/GCP/Azure), distributed systems, and AI accelerators. The Inference team builds and operates the systems serving Claude, including request routing, load balancing, autoscaling, and deployment pipelines. Headquartered at Anthropic, which creates reliable, interpretable, and steerable AI systems.

Research Engineer will work with large-scale ML systems, GPUs, Kubernetes, and PyTorch to optimize attention mechanisms, compare Transformer variants, and scale distributed training. They conduct research on model architecture and algorithms for the Pretraining team at Anthropic, a company building beneficial and safe AI systems.

You will work with AWS, Kubernetes, Terraform, and observability tooling like Datadog to handle platform requests and incidents. As a member of a new Platform Support Engineering team, you will be the primary contact for engineering interactions across global clients on a 24/5 basis, owning investigations and improving tooling and processes.

Deliveroo★3.3 (1.5k)· London

Build production infrastructure for Generative AI at Deliveroo and DoorDash, leading design and architecture for real-time GPU serving, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) of open-weight LLMs and VLMs. Own the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution, while mentoring engineers and setting technical direction for a small, high-leverage centralized GenAI platform team.

Lead Cloud Engineers at Made Tech use AWS, Azure, GCP, Terraform, CloudFormation, Docker, Kubernetes, CI/CD, and languages like Python, Bash, and JavaScript. They help public sector organisations design, implement, and maintain secure, scalable cloud infrastructure. The role includes line managing and mentoring junior colleagues.

LSEG★3.7 (403)· London

Core AI Engineer role at LSEG building enterprise-grade AI products using Python, LLMs, GenAI, agent frameworks, RAG architectures, vector databases, APIs, microservices, and cloud-native development (Azure preferred). The AI & Automation team transforms LSEG operations through AI, automation, and intelligent engineering, delivering scalable AI solutions. Requires designing architectures, MLOps, CI/CD, and technical leadership across AI initiatives.

Segen★3.6 (14)· London

As Senior Platform Engineer, you'll work with Microsoft Azure (Hub and Spoke networking), Azure DevOps YAML pipelines, and IaC via Bicep or Terraform, alongside TDD, CI/CD, and DevSecOps practices. You'll build secure, scalable infrastructure for Segen, the UK's largest solar PV, energy storage, and EV-charging distributor, while mentoring junior engineers.

You will work with AWS (serverless, Bedrock), TypeScript/JavaScript, Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD, and API design. The Commerce & Technology division designs and builds cloud applications for global brands, specializing in agentic AI platforms and emerging Agentic Commerce standards.

Wiz Soluções★4.2 (112)· London

You will work with AWS, Azure, or GCP, Kubernetes (EKS/GKE/AKS), Terraform, CloudFormation, Helm, Pulumi, and Python, Go, Shell, HCL, or Rego. You will lead threat modeling and security reviews to secure Wiz’s cloud and AI security platform, building automation and policy-as-code for its CI/CD and production infrastructure.

You'll apply SRE discipline to AI platforms, building and operating Kubernetes infrastructure with Terraform, managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD), using Python, and working with observability stacks like Datadog and Prometheus. You'll define SLOs, handle on-call and incidents, and partner with teams like the Inference Control Plane and Evals/Observability. The role is with CreateFuture, an AI-native consulting partner serving clients such as PayPal and adidas.

PlayStation★3.8 (164)· London

You'll use Python, Jenkins/Groovy CI/CD, Linux/Windows environments, and test frameworks like pytest/GTest. The role strengthens quality engineering across SDK teams, building confidence in the quality, reliability, and delivery of SDK solutions on multiple platforms. No team size is specified.

You’ll build and operate Kubernetes infrastructure for AI workloads using Terraform, Python, and AWS/GCP, plus CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD) and observability stacks (Datadog, Prometheus, Grafana). The role applies SRE discipline—SLOs, incident response, on-call—to AI platforms at CreateFuture, an AI-native consulting firm building digital products for clients.