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.

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 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.

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.

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.

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'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.

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.

Durlston Partners· London

Python, Pandas, NumPy, SQL, SQLAlchemy, version control, testing, and CI for building and maintaining a research environment for diversified systematic strategies in commodities. Projects include fixed income pricing, data acquisition, order execution, and monitoring tools for a global investment management fund.

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.

You will work with React, React Native, Node.js, TypeScript, SQL, AWS, and cloud-native AI-powered products. The company is a Series A–funded, fast-growing tech business building products that matter and planning to double in size. This Staff Engineer role owns business-critical product areas and mentors engineers while remaining deeply hands-on.

As a founding data engineer at Squid’s London startup, you will build production data pipelines and DAG-based orchestration using Python and SQL, designing scalable data models and storage for a versioned, auditable grid modeling platform. The team creates an agentic modeling platform enabling humans and AI agents to modernize national power systems, working with industry leaders like National Grid.