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.

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.

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.

Build features across Svelte/TypeScript front end and Python (FastAPI/Django) back end. Tab is a profitable YC-backed travel fintech processing thousands of hourly payments for 100,000+ global tourism businesses.

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.

Work with Java, Spring Boot, Hibernate, microservices, REST APIs, PostgreSQL/Oracle, and testing tools (JUnit, Cucumber, Wiremock, Mockito) in an agile, DevOps environment. You will build and improve the prepaid payment platform for Edenred PayTech, delivering features across the full development lifecycle.

Build and ship end-to-end features using TypeScript, Vue.js/Nuxt.js, Node.js, Docker, AWS, MySQL, and AI-assisted tools like Claude. You’ll own infrastructure and deployment for &Dine’s online food marketplace connecting independent makers with customers. Join a lean engineering team of four.

You will build Venmark’s AI-platform from scratch using NextJS, Java, TypeScript, and AI-powered workflow automations. The company is an AI-native certification firm transforming the testing, inspection, and certification market by acquiring and integrating traditional providers onto a modern platform. As the first tech hire, you will embed with acquired SMEs across the UK.

Public Sector Resourcing★1.0 (1)· London

Work with Python, AWS, and Terraform to design, build, and maintain cloud-native applications. Support the National Cyber Crime Unit’s mission to disrupt online organised crime by developing AI-driven capabilities and automating operational processes within a multidisciplinary technical team.

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.

FDM Group★2.9 (270)· London

Lead multiple cross-functional engineering teams for a banking/lending technology programme at a financial services client. Oversee ~20 engineers across 3-4 feature teams using Java, Spring Boot, React/React Native, and cloud-based solutions. Drive DevOps, CI/CD, secure coding, and platform modernisation.

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.

Build and scale core APIs using Java, Kotlin, or Go, and build internal tooling with React and TypeScript for a leading audio streaming platform. You'll work on Trust & Safety platforms that handle content policy enforcement, compliance, and data pipelines feeding machine learning models.

You will work with Python, C++, LLMs, deep learning frameworks (TensorFlow, PyTorch, JAX), optimisation methods, reinforcement learning and generative models. The team applies AI to semiconductor design and optimisation while conducting fundamental research for internal use and the scientific community.

Principal researcher role using Python, C++, and frameworks like TensorFlow, PyTorch or JAX, with focus on LLMs, optimization, reinforcement learning and generative models. The research team applies AI to semiconductor design and fundamental research for internal and scientific community. Leadership duties include shaping research strategy and mentoring senior researchers; no team size specified

You will develop predictive ML models for demand forecasting and pricing optimization using Python, scikit-learn, pandas, and GCP. You own the full model lifecycle—design, testing, production deployment—for global retail brands like New Balance and River Island, working alongside the Principal Data Scientist on a lean, expert team.

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.

You will build low-latency teleoperation infrastructure using Rust, custom video protocols, distributed mesh networks, and middleware like ROS2, Zenoh, DDS. As an early hire on a three-person team, you'll own systems enabling sub-40ms remote control of humanoids and autonomous vehicles while capturing training data for AI.

Full-stack engineers work across the entire stack using AI, automation, and CI/CD pipelines. Legl builds intelligent software for law firms to automate client onboarding, compliance, payments, and reporting. The lean, senior engineering team offers broad ownership from day one.

Design and scale low-latency backend systems using Python, Go, or Rust, with streaming pipelines (Kafka, Flink, Spark), SQL/NoSQL data systems, and cloud infrastructure (AWS/GCP, containers, CI/CD). The team builds real-time security infrastructure that detects risk and prevents attacks inside transaction flows for wallets, exchanges, and fintech platforms.

You will work with Svelte, TypeScript, Python, FastAPI, Django, PostgreSQL, and AWS. Tab is a YC-backed London startup building a payments and discovery platform for independent tourism businesses. You will join a lean team of nine as one of the first developers.

Lead projects developing scalable web apps for global financial clients using React, TypeScript, modern CSS (Flexbox/Grid, SASS, Material UI), Redux, Webpack, and Jest/Mocha. You will mentor engineers, drive front-end strategy, and work with DevOps/CI/CD and containerisation (Docker/Kubernetes).

You will work with Rust, Flutter/Dart, gRPC, Arrow, and Postgres to design and scale distributed, mission-critical systems. The team builds an AI-enabled operations platform replacing legacy infrastructure for airports, airlines, and ground handlers. You join a small team of three engineers reporting to the CTO.