Imperial College London★4.2 (238)· London

You will work with Python, PyTorch, NumPy, SciPy, Pandas, discrete-event simulation, Anaconda and Jupyter to develop performance, cost and reliability models for distributed Foundation Model inference across Cloud, Edge and IoT tiers as part of the f-inference project. This role is in the Department of Computing at Imperial College London.

You will work with Generative AI, LLMs, OpenAI, LangChain, Hugging Face, PyTorch, TensorFlow, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure). You will design and deploy GenAI solutions—including RAG pipelines, fine-tuning, and prompt engineering—for enterprise use cases such as customer service, document automation, and knowledge retrieval on the Data Science Team at a global data and AI company.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

Works with Apache configs, CLI tools, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Jira/Azure DevOps, HTML, CSS, JavaScript, and structured data. Leads Croud's Web Experience and Technical SEO capability, auditing and optimizing client sites for traditional search, AI summaries, and LLM interfaces, including migrations and

You’ll work with JavaScript, TypeScript, React, Next.js, Node.js, Python, WebGL/Three.js, Unity/Unreal/TouchDesigner, Generative AI/LLMs, ComfyUI, vector databases, and AWS/GCP/Azure. WPP Production is a global content production company delivering multi-channel content systems at scale. As technical leader, you’ll mentor and line-manage junior developers, though team size isn’t specified.

You will work primarily with JavaScript/TypeScript, React, and AWS, architecting full-stack apps alongside Node, Webpack, MobX, Redux, Spring Boot, and Kafka. As part of the Transaction Banking Digital Engineering team, you will lead the design and implementation of UI components for a scalable, cloud-based platform providing corporate cash management solutions via APIs, portals, and SWIFT. You will manage a group of engineers, contribute to the product roadmap, and drive engineering culture.

You will work with Python (FastAPI), AWS, LLMs (OpenAI, Gemini, Anthropic), RAG, agentic workflows, MCP servers, and CI/CD pipelines. This player-coach role leads a squad building AI-driven solutions for BCG’s internal products and processes, delivering GenAI applications while cultivating engineering talent.

Lead design and development of large-scale software using TypeScript, JavaScript, Angular, Node.js, and Azure/AWS. Build modern, cloud-native applications for Verisk’s data and analytics platform that helps insurers make decisions. Provide technical guidance and shape architecture across multiple products and teams.

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.

Bloomberg★3.8 (1.1k)· London

Work in Go, C++, and Python on Bloomberg’s distributed OLTP storage platform, built with Vitess, MySQL, MyRocks, and RocksDB. The team operates over 10,000 MySQL shards serving petabytes of financial data, building custom read/write APIs and contributing fixes upstream. This hands-on role combines distributed systems and database internals.

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.

You'll work with Kotlin, TypeScript, Python, Rust, React, Postgres, DynamoDB, Kafka, and AWS (ECS, EKS, Lambda, CDK). Natter builds a conversational AI platform for real-time video feedback used by Fortune 500 companies. You'll join a small, high-ownership engineering team that ships multiple times a day.

You'll work with Python, Django/DRF, FastAPI, Postgres, Redis, Celery/RQ, RabbitMQ/SQS, Docker, K8s/ECS, AWS, OpenTelemetry, and SigNoz/Grafana. The company makes software that helps patients and clinics diagnose, plan, and visualize physical improvements. No team size is specified.

Develop NatWest Boxed, a banking technology product, using Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/event sourcing. As a technical lead, you'll support junior engineers on core cross-functional mission teams. The listing doesn't specify team size.

The role involves Python, pandas, OOP, SQL (PostgreSQL, Snowflake), CI/CD pipelines, git/GitHub, and GitHub Copilot, with JavaScript, Flask, or FastAPI helpful. You'll develop in-house fund management tools for the Index team at L&G Asset Management, analyzing portfolio performance and supporting data pipelines. L&G is a major global asset manager and UK financial services group.

You will work with React, TypeScript, TanStack Query, ShadCN, Tailwind, and data-visualization libraries like D3 or AG Grid. The interface team builds Scenario Builder, a tool that lets policymakers, planners, and investors model energy systems without coding.

Work with JavaScript, React or Svelte, D3, QGIS, Mapbox, Leaflet, R or Python, SQL, Git and AI models. Build interactives, calculators and data-led stories for The Times and The Sunday Times’ data journalism team.

Build and maintain scalable data pipelines using SQL, dbt, TypeScript, AWS, and CI/CD. You will work on a Web3 data platform that provides institutional-grade blockchain and financial data for analysing on-chain activity. A production-grade data engineering background is required.

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), FDC3, REST/WebSocket APIs, OpenFin, Chromium, Electron, Kafka, Solace, Tibco, Jenkins, and AI-assisted development tools. The team delivers pricing solutions for the Foreign Exchange (FX) business, building high-quality trading GUIs for internal and external traders. As a Vice President, you provide technical leadership and mentor junior engineers on a globally distributed team.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript. The team delivers large-scale software for a global financial services firm, actively using AI tools like GitHub Copilot and Claude.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript, with AI tools like GitHub Copilot or Claude. The team delivers large-scale enterprise software for a global financial services organization.

You will work with C# and C++ on FX options pricing and trading systems, using WinForms and/or WPF, and may encounter .NET Core, ASP.NET, React, TypeScript, and Kafka. You will join a front office technology team supporting a global FX trading business, enhancing and maintaining critical pricing and trading applications.

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.

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.

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.