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.

You'll work with Python, SQL, ETL/ELT, FastAPI, and AI/LLMs to build a mission‑critical Data Migration Platform that connects to legacy CRMs and onboard financial agencies at scale.

Senior Java Developer using Java, Spring, and AWS. You will design, build, and maintain features on a live SaaS platform for a HealthTech company that delivers patient care and rehabilitation software.

Write Python and FastAPI to build a real-time intelligence platform for private markets, used by venture capital and private equity firms to analyze live data and make faster investment decisions.

Senior back-end Java developers will deliver scalable, enterprise-grade applications using Java in a complex technology environment for a global investment bank’s Risk function.

Developers use C#/.NET, Java, or Python, along with SQL databases and cloud platforms like Azure or AWS. The role involves problem-solving and communicating with technical and non-technical audiences, with no specific project or team scope detailed.

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).

Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

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.

Design and build Snowflake pipelines and ELT processes, using Tasks, Streams, and secure views, while ingesting insurance data via Azure Data Factory and feeding semantic models into Power BI. The role builds out an enterprise data platform for a London Market insurer, supporting Underwriting, Claims, Finance, and Portfolio Management with real business consumption.

Low Carbon Contracts Company★4.4 (7)· London

The role uses Python (preferably PySpark), SQL, Azure (Data Factory, Synapse, Databricks, ADLS), and other cloud platforms. The team develops and maintains LCCC’s data warehouse, data pipelines, and governance artefacts to ensure reliable, integrated data for reporting.

Build production-grade agentic AI systems using Python, modern LLM frameworks, orchestration tools, RAG pipelines, and evaluation/observability tools. The team solves critical real-world problems for manufacturing, utilities, aviation, and field operations. A small, high-calibre engineering team with genuine ownership.

You will work with Java, Spring Boot, Hibernate, REST APIs, microservices, Spring MVC, Spring Data JPA, Spring Security, and SQL databases (MySQL/PostgreSQL). You will design, develop, and maintain scalable Java-based applications and microservices for enterprise clients as part of a UK-based IT consultancy serving Fortune 500 and FTSE 100 companies.

Lead a ~132-person engineering org (5 direct reports) building financial services for Africa on Python/GraphQL, Postgres/Redis, Kotlin, Swift, TypeScript/React, GCP, Kubernetes, and Terraform—including AI-powered voice and digital agents handling 10M+ monthly interactions.

Lead an AI-native platform using agent orchestration, knowledge infrastructure, retrieval systems, workflow engines, APIs, evaluation pipelines and multi-agent coordination. The role builds the institutional platform for Smart Bricks, adding an intelligence layer to real assets. You will recruit and lead the founding engineering team.

You'll work with Python or Go, API gateways (Kong preferred), LLM providers (Anthropic, AWS Bedrock, OpenAI), RBAC/OIDC, and MCP. The AI Platform Engineering team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers, including the inference control plane, orchestration, lifecycle tooling, capability marketplace, and governance controls.

You'll work with JavaScript, ElasticSearch, OpenSearch, MongoDB, Apache Kafka, EKS and Kubernetes on Ripjar's Labyrinth Screening SaaS platform, which automates detection of financial crime for banks and governments. This role leads technical decisions and architecture for scaling the platform.

You will work with Python, TypeScript, React, Postgres, cloud data pipelines, and grid modelling tools like pandapower or PowerFactory. Squid is a Y Combinator-backed startup building an agentic modelling platform for power grids. As a founding engineer, you will build production software for grid operators, developing validation tools and human-in-the-loop systems.

Senior Data Engineer role at a private equity real estate firm, building cloud-based data pipelines and ETL processes using SQL, Python, Snowflake, AWS/GCP, and APIs. You'll integrate internal and external data sources, develop analytics solutions supporting investment decisions, and mentor two junior engineers while owning technical delivery.

Harvey Nash★3.8 (49)· London

SQL, Snowflake (or similar), AWS (S3, Lambda), Tableau/Power BI, and Python. You'll build and maintain data pipelines and integrations as a mid-level Data Engineer within a blended team at a global Media & Entertainment company.

You’ll build scalable data pipelines and engineering solutions using Python, SQL, AWS/Azure/GCP, Spark, Kafka, Airflow, and CI/CD for a technology consultancy delivering secure, data-driven analytics and intelligence projects.

Design multi-agent systems and LLM pipelines using LangGraph, Strands, Python, AWS Bedrock, ECS Fargate, Lambda, and Step Functions. Build agent topologies, evaluation frameworks, and MCP integrations for AMPLIFYR.ai’s production brand analytics platform that leverages GPT, Claude, and Perplexity.

You will build multi-agent systems, complex RAG pipelines, and tool-use workflows using frameworks like LangGraph and Pydantic AI, integrating with Git, Jira, and Confluence APIs. The role designs and deploys autonomous "AI Change Agents" that perform automated risk assessments and policy compliance evaluations for operational risk, cyber, and safety stakeholders.

Work with Java, Spring Boot, Docker, Kubernetes, and message brokers to design cloud-native microservices and event-driven systems. You will lead development of Chip Financial Ltd’s unique Lombard lending platform for its proprietary brand and SaaS clients. Mentor junior engineers in a high-impact fintech environment.