You will work with Astro, Sanity, GROQ, Portable Text, TypeScript, HTML, CSS, Tailwind CSS v4, Figma, SSR, serverless/edge runtimes, SQL, and CI. You will co-own the component library, content model, and rendering stack for synthesia.io, the marketing website of the world’s leading AI video platform.

Wise★3.5 (42)· London

Work with Python, big data tools like Hadoop or Spark, and cloud platforms such as AWS, GCP, or Azure, collaborating with engineers on the Treasury team. Build and refine models to forecast and manage liquidity, balancing sufficiency and risk for Wise’s multi-region money movement products.

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.

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.

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.

JPMorgan★3.9 (20k)· London

Principal Data Engineer at JPMorganChase, working with SQL, Python, Spark, cloud platforms, Databricks, Apache Iceberg, and distributed frameworks like Hadoop and Kafka. The role designs and builds scalable data warehouse solutions, data pipelines, and ETL processes for the firm’s portfolios. Mentors junior engineers and partners with architects on delivery roadmaps.

Wise★3.5 (42)· London

You’ll use Python, SQL, predictive ML models, recommendation systems, and A/B testing to own production-level model pipelines. Wise is a global fintech moving money across borders. In this IC role on the CRM Tribe, you’ll develop learning systems that recommend the right product to the right customer at the right moment.

The API Platform team owns Perplexity's public-facing surface: the Search API, Agent API, SDKs, and docs. Engineers work in Go, Rust, and Python across cloud infrastructure, Kubernetes, and CI/CD, building agent-consumed surfaces like hosted MCP, tool calling, and auth flows while owning APIs end to end from RFC to production.

Ebury★3.3 (13)· London

Senior Software Engineer (Money Flows) at Ebury (London, hybrid) will work with Python, Django, FastAPI, PostgreSQL, Kafka, AWS, Kubernetes, Terraform, Jenkins, Prometheus, and Kibana. The role owns development, scalability and optimisation of the company’s multi-currency account systems, incoming funds, and outgoing payment processes on its core transactional platform. This is a global team spanning Europe and South America.

Hudson River Trading★4.5 (2)· London

You will work with macOS, Apple Business, MDM (Jamf, Workspace One, Intune), AutoPkg, Munki, Bash/Python, and enterprise networking. As an endpoint engineer on Hudson River Trading’s Enterprise Technology team, you will solve macOS challenges and improve user experience across the firm, which builds sophisticated computing environments for algorithmic trading.