Stanley David and Associates★2.3 (3)· London

Work with Snowflake, GitHub, Octopus Deploy, SQL, Python, PowerShell, Shell scripting, and cloud platforms (Azure, AWS, or GCP). Lead design, implementation, and deployment of cloud-based data platforms, including CI/CD pipelines and ELT/ETL processes. Mentor developers and provide technical leadership across project teams.

EPAM Systems★3.8 (703)· London

You will lead the design and optimization of scalable cloud-native data architectures using Azure Databricks, PySpark, Delta Lake, and Delta Live Tables, with Azure-native services like Data Factory and Synapse, plus CI/CD tools (Terraform, GitHub Actions). The team builds large-scale data platforms and ETL/streaming pipelines following Lakehouse principles, driving modernization and AI initiatives. As tech lead, you mentor engineers and define data strategies.

Bloomberg★3.8 (1.1k)· London

You will work with Go, C++, Python, Vitess, MySQL, MyRocks, RocksDB, and InnoDB. The team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data and building custom read/write APIs. The role covers the entire storage fleet at thousands-of-shards scale.

You will work with AWS, Python, Kafka, Kubernetes, gRPC, Terraform, CloudFormation, Docker, and CI/CD tools like Jenkins or GitHub Actions. AeroVect builds autonomous ground-handling systems for airlines, and you will own the cloud infrastructure and data pipelines that power their real-world deployments.

Work with Python, GitLab CI/CD, Helm, ArgoCD, Terraform, Kubernetes, OpenShift, AWS, Docker, Bash, and Go to build CI/CD pipelines and manage infrastructure as code. This free 16-week course prepares candidates for a DevOps role with one of the company's clients.

Design, develop, and optimize scalable data solutions using Snowflake, GitHub, and Octopus Deploy, with CI/CD pipelines and cloud platforms (Azure, AWS, GCP). This role leads the design, implementation, and deployment of modern cloud-based data platforms, including ELT/ETL pipelines and secure automated deployments.

A Core AI Engineer at LSEG designs, develops, and deploys enterprise-grade AI products and services, building agentic workflows, RAG solutions, and scalable integrations with LLMs and vector databases. The role leads technical implementation across AI initiatives, mentoring engineers and defining solution architecture. The team is transforming how LSEG operates by using AI to improve service resilience, automate workflows, and accelerate engineering productivity.

Platform Engineer role at Freetrade, working with Google Cloud infrastructure, Kubernetes, serverless, Terraform, and Node.js (TypeScript). The Platform Engineering Team builds foundational CI/CD pipelines, logging, observability, and security systems to support product, frontend, and data engineering teams.

Build and streamline CI/CD pipelines using GitLab CI/CD, Helm, ArgoCD, and Terraform. Containerise and migrate workloads into Kubernetes and OpenShift, automating with Bash, Python, or Go across hybrid cloud environments (AWS, IBM Cloud, GCP, or Azure). You will complete a free 16-week course to develop mid-level skills before a potential client role.

Work as a senior quality engineer using Python, Jenkins/Groovy CI/CD, pytest/GTest, and Linux/Windows tooling, plus AI-assisted coding tools. You'll build pipelines, automation, and automated tests across SDK teams supporting PlayStation's SDK solutions, coordinating with London, Bristol, and Dublin.

Work with AWS, Python, Kafka, Kubernetes, gRPC, Docker, Terraform, CloudFormation, and CI/CD tools (Jenkins, GitHub Actions, CircleCI). You will design, build, and scale the data pipelines and cloud infrastructure powering AeroVect's autonomous driving platform, owning systems from the ground up.

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'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.