CoreWeave's Inference team builds and operates a Kubernetes-native cloud platform for massive-scale GPU workloads (AI/ML, VFX, rendering, real-time inference). The role works with Go, Python, C++, Kubernetes, and inference frameworks like vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe, plus GPU systems (CUDA, NCCL, RDMA). It leads cross-team architecture, routing, scheduling, and performance optimization under P99 SLAs.

You will work with Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.

Monitor security alerts and events across enterprise systems, endpoints, cloud platforms, and networks using Microsoft GCC High, CrowdStrike, EDR/XDRs, PIM/PAM tools, SIEMs, and Azure Sentinel. You will support triage, investigation, and response activities to defend a mission-focused defense technology company with multiple offices in the US and UK.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.

NatWest Group★3.7 (1.2k)· London

You'll work with Cisco and Arista platforms, VxLAN, EVPN, Cisco Meraki, and multicast protocols to engineer and automate enterprise network infrastructure. This role supports NatWest Group's digital transformation, building secure, scalable network solutions for its financial services environment.

Fintricity★1.0 (1)· London

You will work with Python, TypeScript, LLMs, agent frameworks, RAG systems, vector databases, LangGraph, LangChain, and cloud services. The role builds enterprise-grade AI infrastructure for agentic systems, including AI gateways, model orchestration, and agent control planes at Fintricity and Kendra Labs.

You will work with AWS, Terraform, Terragrunt, Kubernetes, ArgoCD, Python, Bash, and CI/CD pipelines like CircleCI. The role involves designing and managing cloud infrastructure for public sector digital transformation initiatives, collaborating with architects and developers on mission-critical applications.

Design, build, and operate secure, scalable cloud infrastructure using AWS, Azure, or GCP, Terraform, CloudFormation, Bicep, Docker, Kubernetes, and CI/CD tools like GitHub Actions, Jenkins, or GitLab CI. This role provides technical leadership for enterprise applications and digital services, working with engineers, architects, and cybersecurity teams.

Design software using Java, C#, Python, JavaScript, TypeScript, or Go, with REST APIs, microservices, SQL databases (PostgreSQL, SQL Server, MySQL, Oracle, MongoDB), and cloud platforms (AWS, Azure, GCP). You will build enterprise applications and business-critical services across the full development lifecycle.

You will work with AWS (WAF, CloudFront, CloudTrail, GuardDuty, Secrets Manager), WorkOS/AuthKit, and CI dependency-audit tools. The team builds Palette, an urban-planning platform for biodiversity and resilience gain, owned by Kew Reach (a joint venture with Royal Botanic Gardens Kew). This is a founding sole platform-engineer role, reporting to the CEO.

You will build, support, and migrate cloud-based enterprise integrations using Microsoft Azure, including Python-based functions, CI/CD pipelines via Azure DevOps, SQL Server databases, and REST APIs. You will automate and modernize business-critical integrations and shared technical platforms for PATH, a global health nonprofit.

You’ll use Python, Docker, Kubernetes, CI/CD tools, cloud platforms (AWS, Azure, GCP), and IaC tools like Terraform or Ansible, with AI frameworks such as PyTorch or TensorFlow. As an Applied AI Engineer at Mistral, you’ll onboard customers and deploy production AI solutions across infrastructure, back-end, and front-end. No team size is stated.

Fintricity★1.0 (1)· London

Work with Python, TypeScript, LLMs (Claude, Gemini), agent frameworks, RAG, vector databases, and MCP-based tools. The team builds enterprise-grade AI infrastructure

Python and/or C#/.NET, with experience using LLM APIs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration patterns. This director-level role defines and builds WTW’s enterprise-wide AI engineering capability, creating shared frameworks, reusable patterns, and reference implementations for production-grade generative AI and agentic solutions across the company.

Work with Cisco and Arista platforms, including VxLAN, EVPN, Meraki, and traditional enterprise networking, plus automation and infrastructure as code. You'll engineer enterprise network solutions for NatWest Digital X, ensuring security, resilience, and operational requirements.

Design, build, and operate cloud infrastructure on AWS, Azure, or GCP using Terraform, Kubernetes, Docker, CI/CD pipelines (GitHub Actions, Azure DevOps), and scripting (Python, Bash, PowerShell). The role delivers secure, scalable platforms for enterprise applications and digital services, partnering with software, security, and architecture teams.

Work with Azure, AWS, Terraform, Kubernetes, Docker, Python, Go, and CI/CD pipelines to architect and operate secure, scalable cloud platforms for AI products at LSEG. This individual-contributor role owns the technical direction of cloud infrastructure, delivery pipelines, and operational capabilities, providing functional leadership across teams.

LSEG★3.7 (403)· London

Work with Azure, AWS, Terraform, Bicep, CloudFormation, Ansible, Docker, Kubernetes, Python, Bash, PowerShell, Go, CI/CD, and generative AI tools. Build scalable AI products and platforms by owning cloud infrastructure, delivery pipelines, and operational engineering. This individual contributor role provides functional leadership, guiding engineers without direct reports.

You will work with Python, Go, or PowerShell; REST APIs for Slack, Google Workspace, and Okta; SaaS security tools like AppOmni or Adaptive Shield; and Google/Atlassian stacks, IAM, DLP, and data governance systems. You will safeguard corporate identity systems, sensitive data, and physical workspaces for a team advancing AI-driven drug discovery.

WTW★3.6 (1.7k)· London

This role shapes WTW’s enterprise-wide AI engineering capability, defining technical direction for production-grade generative AI and agentic systems. You will work with Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, LLM/agent frameworks, and Model Context Protocol while building RAG pipelines, LLMOps practices, and governed integration patterns.

Lead engineering teams using AWS, GCP, or Azure, plus JavaScript, Java, or .Net with full-stack frameworks, Agile, CI/CD, and infrastructure-as-code. The role drives digital transformations by delivering enterprise-grade cloud-native applications and bridging client business objectives with technical capabilities.

You will work with AWS, Kubernetes (EKS), Terraform/Pulumi, Python/Go, and Grafana/Prometheus to build and maintain infrastructure and tooling for a cloud-native video intelligence platform deployed across thousands of connected devices. This hands-on role involves scaling AWS and Kubernetes, managing IoT device lifecycles, building CI/CD pipelines, and improving observability across cloud and edge environments.

Work with Python, Flask/FastAPI, PostgreSQL, MySQL, MongoDB, Redis, Docker, Jenkins or GitLab CI/CD, Linux shell scripts, and Git. Build and maintain automation solutions, REST APIs, and tooling for large-scale telecom network operations, supporting 5G and enterprise platform testing and monitoring.

Senior Platform Engineer role working with Azure, Kubernetes (AKS), Terraform, GitHub/GitHub Actions, ArgoCD, Docker, Bash/Shell, and Python. You will design, build, and operate central platform services for the Retail Platform Operations team, enabling development teams with self-service infrastructure and CI/CD automation at Legal & General.

Bloomberg★3.8 (1.1k)· London

You will work with Go and C++ on Vitess, MySQL, MyRocks, and RocksDB, alongside Python for automation and analysis. Your team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data with low latency.