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.

Nationwide Building Society★3.7 (1.1k)· London

You will work with Python, Azure cloud, machine learning, deep learning (transformers, autoencoders), large language models, Generative AI, Natural Language Processing, and prompt engineering. As part of Nationwide’s AI Centre of Excellence, you will build scalable classifiers, predictive models, and GenAI applications to optimize business decisions and automate processes.

Work with OCaml (functional programming) and Python for data analysis, visualization, and machine learning to design and build systems and tools across the firm—from trading desks and accounting to infrastructure like network monitoring and risk models.

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.

Anaplan★2.7 (15)· London

Develop ML models (LightGBM, XGBoost, PyTorch) and pipelines using Python, Pandas, SQL, dbt, Snowflake, MLflow, and Optuna on AWS/GCP/Azure. The role designs and deploys custom analytic “engines” that integrate into Anaplan’s platform to solve enterprise business problems like demand sensing and time-series forecasting. No team size is stated.

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.

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.

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.

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.

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.

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).

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.

The Head of Engineering will lead senior engineers across backend, platform, full stack, and data disciplines, owning data-heavy systems and architecture. The company

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 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.

Working as a Machine Learning Engineer at an InsurTech scale-up, you will build the AI platform powering automated operations, using NLP and deploying/scaling ML solutions in production. You will collaborate with domain specialists and help shape the engineering team.

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.

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.

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.