Build the Guardian Android news app in Kotlin and Java, using Jetpack Compose, Coroutines & Flow, MVVM, WebViews, Jetpack libraries and modular architectures, with CI/CD and testing. As a Staff Engineer on the Apps Experience team, you'll set technical direction and mentor engineers across multiple teams.

Wells Fargo★3.6 (48k)· London

You'll work with Python, SQL, cloud and DevOps practices, AI/ML and Large Language Models, plus Axiom ControllerView on the Enterprise Functions Technology team. The role enhances and supports regulatory reporting platforms used by Wells Fargo's Finance Controllers organization.

Deutsche Bank★3.8 (3.5k)· London

You will work with Oracle Exadata, Autonomous, RAC, ASM, DataGuard, PL/SQL, Python, Ansible, Bash, Java, and Git. The Global Database Engineering Team manages the relational database platform and builds automation to keep business systems operational. You will develop automation scripts, evaluate database tools, and provide L3 support.

CoreWeave's Inference team builds and operates a Kubernetes-native cloud platform for massive-scale GPU workloads (AI/ML, VFX, rendering, real-time inference). The role works with Go, Python, C++, Kubernetes, and inference frameworks like vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe, plus GPU systems (CUDA, NCCL, RDMA). It leads cross-team architecture, routing, scheduling, and performance optimization under P99 SLAs.

JPMorgan★3.9 (20k)· London

Java/Springboot, Kotlin, DynamoDB, Aurora/MySQL, AWS, Kubernetes, and Kafka drive the event-driven microservices architecture. The team builds and maintains integrations with digital asset providers and infrastructure (on/off ramp) for J.P. Morgan Personal Investing’s mobile and web apps.

You’ll work primarily in Go on Linux, building platform services, shared libraries, build systems, CI/CD, and AI coding-assistant tooling, with Terraform and AWS. The Shared Engineering team owns the firm’s internal developer platform foundations like alerting, job scheduling, and host inventory. XTX Markets is an algorithmic trading firm using machine learning across financial markets.

Nationwide Building Society★3.7 (1.1k)· London

Software Engineer specializing in Java, Spring Boot, Kubernetes, and OpenShift. You will design, develop, and maintain Java-based APIs and microservices for the Speed Layer, which provides near real-time data services to support member journeys across Internet Banking, Mobile App, and Open Banking.

Wells Fargo★3.6 (48k)· London

Principal Engineer working with Java, Python, C++, FIX protocol, and low-latency systems within Wells Fargo Securities’ Electronic Trading Technology. The role builds cross-asset electronic trading platforms for Rates, including pricing, market making, and order routing, and defines AI-assisted engineering practices using LLMs and Model Context Protocol (MCP).

You will work with Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.

Design, build and maintain Dynamics 365 and Power Platform solutions (including Power Apps, Power Automate, PCF controls) using JavaScript, React, Angular and TypeScript. The role supports Genomics England’s internal systems for research and clinical programmes, specifically the Newborns and Research products.

You will work with Python, TensorFlow, PyTorch, Spark, Ray, AWS/GCP, Graph Neural Networks, knowledge graphs, LLMs, and Agentic AI to lead machine learning strategies for Tripadvisor’s core discovery engine. The role focuses on building and deploying multi-objective ranking, recommendation, and user modeling systems that power search and itinerary planning for millions of users. As Principal Scientist, you will guide technical roadmap, mentor senior scientists, and bridge research with scalable production systems.

Work with React, modern JavaScript, and TypeScript to build highly responsive, scalable UIs. You will join an elite technology company developing some of the highest-performing, most complex front-end platforms in the world, collaborating with top-tier engineers across frontend, backend, and infrastructure.

You will work hands-on with TypeScript, GCP, and AI agentic systems to build and ship legal-tech products. Leading a team of 4 engineers, you will scale the function to over 20 by year-end, introducing scalable processes and technical excellence.

The AA★3.1 (797)· London

Design, build, and operate production-ready AI solutions using Python, Generative AI, LLMs, agentic systems, and RAG. As part of a newly established AI function at The AA, you will develop reliable backend services, APIs, and cloud-native applications.

You'll work with TypeScript, React, GraphQL, Node.js, Python, PostgreSQL, and IoT/cloud infrastructure. Mytos builds automated cell-production machines for biotech, and you'll develop full-stack software spanning experiment scheduling, image analysis, and remote device operation.

Elliptic★0.0· London

You will use TypeScript (Node.js/NestJS, React/Redux), SQL, data-visualization libraries, cloud tools (AWS, Kubernetes, Terraform) and AI coding assistants. As Investigations team lead at Elliptic, you’ll build tools for tracking crypto fund flows and stopping financial crime. The role leads a team of 3–5 engineers.

You will design and maintain automated test frameworks using Java, Selenium, and RestAssured, creating UI, API, and regression tests within cross-functional Agile squads. Genomics England develops complex healthcare software systems enabling genomic medicine and research.

Wise★3.5 (42)· London

Lead Risk Modelling pillar at Wise, building automated model lifecycle for financial crime detection. Work with ML systems, deep learning, GNNs, LLMs, and production infrastructure at 100K requests/minute under 50ms latency. Own engineering strategy, hire and mentor a team of Senior ML and Applied ML Engineers.

You'll work with .NET/C#, Python, TypeScript, NX Monorepo, CI/CD, AI-powered tooling, contract testing, and containerised testing (Testcontainers). The role defines and builds testing architecture, reusable frameworks, and developer tooling for a strategic Global Markets Front Office trading platform at a leading investment bank.

A Senior Full Stack Engineer role as Engineer #2 at a pre-seed AI startup building an AI platform for pharma commercial teams, using Python, FastAPI, TypeScript, Next.js, Azure, MongoDB, Elasticsearch, and Neo4j. Work includes data pipelines, AI-powered search, analytics, and enterprise workflows. The role requires experience on a data/AI-heavy B2B product, regulated industry exposure, and comfort on a tiny engineering team.

You will work with Java to support architecture, product roadmap, and coding activities. The company is a Fintech market leader creating industry solutions across nearly 50 global markets. As a Principal Engineer, you will help decide technical direction and coach other team members.

You'll work with Python, PyTorch, SGLang, LLMs, embeddings/reranking models, PEFT/LoRA, RAG, Docker, microservices, and cloud infrastructure. The team builds AI-powered applications transforming specialized financial markets, developing and deploying LLM solutions with significant autonomy. You'll join a small, experienced engineering team collaborating directly with founders and domain experts.

Work with React/Next.js, Python (Django/FastAPI), Redis, Celery/RQ, Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). You'll build an AI data-integration and analysis platform that automates document processing for enterprise financial environments. The role includes end-to-end feature ownership and mentoring junior engineers as the team scales.

Build scalable backend systems, APIs, data pipelines, and DevOps practices using Python or full-stack JavaScript, integrating voice, reasoning, and context management. You will ship end-to-end product features for an AI layer designed to autonomously run small businesses for thousands of customers.

This role focuses on fine-tuning, distilling, and domain-adapting small language models (SLMs) like Llama and Mistral, using quantization techniques and inference engines such as vLLM or TensorRT-LLM. The company is building a privacy layer for enterprise AI, enabling tier-1 banks to use sensitive data with external models. As a founding engineer, you will own the entire model layer and ship production-ready solutions.