Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

Build customer-facing web applications with React, Next.js, Node.js, TypeScript, and Postgres. You will work on transactional flows involving payments for SwapTix, a ticket exchange platform.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Big Potato· London

You will own and evolve a Flutter companion app and confidently handle backend work on Node/TypeScript MongoDB systems. Additionally, you will maintain the gaming web platform and its integrations. The role works closely with a Senior Game Developer on the platforms behind Big Potato's games.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

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.

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.

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.

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.

Faculty★0.0 (16)· London

Research Scientists execute technical research in AI safety, using Python with PyTorch to study and steer transformer-based LLMs via white-box and black-box interpretability techniques like mechanistic interpretability and steering vectors. They collaborate with senior scientists at Faculty, a company that builds and deploys human-centric AI for over 350 global clients.

You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.

Citi★3.9 (21k)· London

You will work with C++, C#, .NET, Java, Python, kdb, and SQL to develop analytics libraries and pricing models using Monte Carlo methods and PDE solvers. The role focuses on creating quantitative models for Citi’s cross-asset XVA and capital analytics, supporting trading business pricing and risk-management. You will collaborate with Traders, Structurers, and technology professionals.

You’ll build core features across backend, frontend, and infrastructure using Python, TypeScript, cloud infrastructure, event-driven systems, and third-party integrations. The company is an early-stage startup creating AI voice agents for real business customers. No specific team size is stated.

You will work with Java 8+, SQL, Spring Boot, Hibernate, microservices, RESTful APIs, and front-end technologies (HTML, CSS, JavaScript) on a multi-tenant payment and Banking-as-a-Service platform. Edenred PayTech powers payment, benefits, fleet mobility, and embedded finance solutions for a global e-money institution.

Work with Java and/or Python to support the design, development, and maintenance of scalable applications. You will join the front-office engineering team of a fintech firm to help deliver high-impact, revenue-facing systems used by traders and product teams.

You will work with PHP, MySQL, HTML5, CSS, JavaScript, jQuery, React, Next.js, Laravel/Symfony, DevOps/CI/CD tools (Jenkins, Bamboo), Docker, and AWS. The team creates experiences through data and media management and data analytics engines, working on complex development for both industry-leading companies and startups.

Bloomberg★3.8 (1.1k)· London

You will work with Go and C++ on Vitess, MySQL, MyRocks, and RocksDB, alongside Python for automation and analysis. Your team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data with low latency.

Develop React applications using TypeScript and Node.js, running on Azure AKS with Azure PostgreSQL. Work with Terraform and Harness CI/CD pipelines, integrate RESTful APIs, and create end-to-end automation tests with tools like Selenium or Playwright.

DeepL★3.8 (4)· London

You’ll work with C#/.NET Core, Cassandra, gRPC, Kubernetes, and AI-assisted tools like Copilot and Claude. You’ll join the Identity and Access Management team, which owns DeepL’s full identity stack—organization, group, account, consent, session management, SSO federation, SCIM provisioning, and the OIDC provider.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

You will work with PyTorch, TensorFlow, deep learning models, recommendation and retrieval systems, and MLOps practices on cloud infrastructure. Joining ASOS’s Outfits Discovery team, you will build and operate large-scale production ML systems that power personalised outfit recommendations and AI-driven fashion discovery for millions of customers.