Lead Software Engineer for the PRIIP Cloud platform, owning full-stack development with TypeScript/Node.js, React, Java/Kotlin, REST APIs, event-driven architectures, AWS, Docker, and Kubernetes. The team builds a cloud-based PRIIP documentation and reporting system for regulated financial services, collaborating with compliance, quant, and product specialists. This role leads a multidisciplinary team of engineers and subject matter experts.

Design, build, and operate a Kubernetes-based MLOps platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. The platform supports the full model lifecycle—experimentation, deployment, and scalable inference—for AI, ML, and LLM workloads in production.

You'll build and operate a Kubernetes-based AI/ML platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. This role focuses on creating infrastructure, tooling, and guardrails so MLOps and data science teams can reliably deploy and serve models at scale.

Lead TypeScript and Python development, CI/CD, and API-first design to embed AI into production software platforms. You will modernize legacy systems toward service-based architectures and guide integration with AI services like MCP, working across DevOps, platform engineering, and data science teams.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Palo Alto Networks★3.8 (154)· London

You will work with Prisma AIRS, AI automation platforms, agentic developer tools (e.g., Claude Code), and data platforms (Salesforce, JIRA, Gainsight, Tableau). As a principal strategic advisor and AI Architect for the Prisma AIRS team, you architect scalable security solutions at the intersection of application security, data security, and the AI ecosystem for global enterprise accounts.

Google★4.3 (6.2k)· London

This role involves reviewing and designing secure enterprise architectures across on-premises, cloud, and hybrid environments, applying network engineering and identity management frameworks. You will evaluate secure deployments of AI/ML pipelines and cloud-native ecosystems, using tools like cloud IaC templates and threat modeling methodologies (e.g., STRIDE, PASTA). The Mandiant team provides cyber defense, threat intelligence, and incident response services as part of Google Cloud.

You'll build backend runtimes, distributed systems, and orchestration services using Kubernetes, Postgres, Redis/Valkey, and object storage. Your work powers AI product runtimes that coordinate long-running agent workloads, execute code securely, and manage state across distributed environments.

McKesson★3.5 (7.7k)· London

Senior Data Engineer: Snowflake, dbt, Airflow, ADF, Python, Databricks, Azure, AKS, Infrastructure as Code, CI/CD. You will own and build the ClarusONE data platform, designing scalable pipelines and establishing engineering standards for reliability, security, and compliance.

Senior Data Engineer role owning the ClarusONE data platform, building pipelines with Snowflake, dbt, Airflow, ADF, Python, and managing IaC on Azure/AKS. You will establish engineering standards, ensure data lineage and governance (SOX), and collaborate with Analytics, Data Science, and Software Engineering teams.

You will use Python, KQL, SPL to build detection logic and automate response. You will protect Writer’s AI platform, training data, and model deployments, detecting threats like prompt injection and model extraction. You will coordinate incident response across teams and hunt for threats in GPU clusters and distributed training environments.

Infrastructure engineers at Writer use AWS, GCP, Azure, Kubernetes, Helm, Terraform, Python, and Go to build resilient, automated systems for the company’s enterprise AI platform. The role ensures 24/7 availability and reliability for customers like Mars and Marriott. The team reports to a director of engineering.

Lead AI engineers use Python, LangChain, vector stores, and LLMOps tooling to build and operate production generative AI applications like copilots and agentic workflows. They design RAG pipelines, own end-to-end development, and integrate with enterprise data systems and APIs. This player-coach role seeds and grows the AI Engineering function within GCG technology at Capital Group, a global investment firm.

You’ll use Python, LLMs, RAG pipelines, embeddings, vector storage, and cloud-native tools to build production generative AI applications—copilots, assistants, and agentic workflows—that improve Capital Group’s investment process.

Build and evolve ASOS's data and ML platform using Python, Spark, Azure Databricks, ADLS Gen2, Unity Catalog, Terraform, and CI/CD tools. You'll implement IaC, manage data/ML lifecycle services (pipelines, experiment tracking, versioning), and support a centralised AgentOps capability with LLM gateways and safety controls. This team enables consistent, reproducible data engineering and ML workflows across the company.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

Kubrick Group★2.8 (13)· London

You will work daily with Microsoft Sentinel, Microsoft Defender, EDR, Microsoft Purview, Intune, Azure, M365 and PowerShell. As a security analyst at a consultancy, you will lead internal Security Operations, incident response, vulnerability management, and security implementations across the Microsoft ecosystem.

WPP Enterprise Solutions seeks a Principal Technical Architect to design AWS serverless and agentic AI platforms (Bedrock, RAG, MCP) using TypeScript/JavaScript, IaC (Terraform/CDK), and CI/CD. The role leads client engagements on scalable, production-grade commerce and agentic AI systems within the Commerce & Technology division, owning architecture, governance, and hands-on delivery.

VML★3.6 (80)· London

Lead and design agentic AI platforms and enterprise cloud applications on AWS, using serverless patterns, Bedrock, and orchestration/RAG/memory components alongside TypeScript/JavaScript, Terraform/CDK/CI/CD. The role, within VML's Commerce & Technology division, builds production-grade AWS solutions for global brand digital experiences and guides clients on Agentic Commerce standards.

Equinix★3.7 (391)· London

You will design and ship LLM-powered agents and the platform they run on using Python or TypeScript, APIs, microservices, event-driven architecture, Git, CI/CD, and cloud platforms, with tools like MCP and A2A. The Equinix Incubation team builds agentic systems that automate the software delivery lifecycle end to end—from intake and business case through code, test, release, and value tracking—with humans directing every gate.

Work with Amazon Bedrock, AWS AgentCore, Python, TypeScript, and AI orchestration tools (RAG, prompt engineering, tool/function calling). Deploy and monitor production AI/ML or GenAI workloads on AWS serverless, event-driven infrastructure with CI/CD and IaC. The company builds AI agent solutions.

Work with Python/Go, Git, Jenkins, Maven, Kubernetes or OpenShift to design and enhance a GenAI prompt security platform that protects enterprise LLM applications from prompt injection and adversarial attacks.