Work in Python to develop quantitative research and trading frameworks, automate data preparation, and productionise trading strategies. You’ll collaborate with Quantitative Researchers and Portfolio Managers to enhance the research platform supporting QRT’s global quantitative investment strategies.

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'll work with Python, AWS, Kubernetes, distributed systems, APIs, and data pipelines to scale a data-intensive FinTech platform. This AI-driven platform transforms data infrastructure and workflow automation for global financial markets, and as the first Principal hire you'll roll out cross-team technical solutions while reporting to the VP of Engineering.

Build and optimize data pipelines using Microsoft Azure, ETL processes, and orchestration to integrate structured and unstructured data. This role is within the UK National Audit Office's Digital Services team, supporting data ingestion, storage, and access to underpin data-driven insights and automation.

You will work across the full model lifecycle, training and fine-tuning PyTorch-based diffusion/DiT models and using diffusers, transformers, torch.distributed, torchrun, Accelerate, and PEFT/LoRA, with Hugging Face datasets and ffmpeg for data. The team builds and scales generative video models for VEED's AI video creation platform, most recently releasing Fabric, a DiT-based speech-to-video model.

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.

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.

Schroders★4.0 (47)· London

You will work with React.js, Next.js, Node.js, cloud-native technologies, CI/CD, and AI-assisted tools. The team builds and supports digital platforms for content management, search, analytics, and client engagement. No team size is stated.

QA Engineer using Python for test automation, including UI and API testing within Python-based frameworks, along with Gherkin, Jira/Xray, Git, and CI/CD pipelines. You will join a cross-functional Agile squad building and evolving automated testing frameworks for the National Genomic Research Library and related healthcare software systems supporting genomics medicine and research.

Wise★3.5 (42)· London

Work with Python, deep learning image models, and large image/tabular datasets to train and manage machine learning models. You will join the KYC Global and Onboarding Team, building Document verification systems that mitigate risk during customer onboarding.

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 will build production AI software using Python, working alongside engineers from Google DeepMind. This fast-growing AI startup is expanding its London engineering team following significant investment and enterprise customer growth, and you will work directly with experienced engineers in London and New York.

You will work with Python, Snowflake, dbt, Apache Iceberg, AWS (Glue, Lambda, Step Functions, ECS, Lake Formation, EMR, Athena), and SQL. The role involves architecting and building data platforms, implementing robust data pipelines, and managing metadata tools.

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.

You will research, design, and develop deep learning models using transformer architectures, PyTorch, TensorFlow, and Python, plus AWS SageMaker and S3. The team builds foundation models from large-scale transactional and behavioural datasets to power customer intelligence for a major UK bank.

You will work with Java, Spring Boot, Docker, Kubernetes, and message brokers to build cloud-native microservices, RESTful APIs, and event-driven systems. You'll lead the development of Chip Financial's unique Lombard lending platform serving both internal brands and external SaaS clients, while mentoring junior engineers.

Develop and extend investment strategy architecture using Python and Django, implementing and backtesting quantitative trading strategies while exploring machine learning for parameter optimisation. The role bridges software engineering and quantitative research, collaborating with a small engineering team to deliver production-ready solutions.