You'll work with Java/JVM and Spring on the backend, React/JavaScript/TypeScript on the frontend, plus CI/CD, distributed systems, and relational/non-relational databases. You'll join Wise's Account Integrity team, building fraud-prevention and financial-crime detection systems to protect customer accounts. Wise is a global technology company for moving and managing money.

Work with Java/Spring, React, JavaScript/TypeScript, CI/CD pipelines, and distributed systems. You'll join the Account Integrity team building a globally scalable fraud prevention engine to protect customer accounts and prevent financial crime using machine learning and real-time monitoring.

Wise★3.5 (42)· London

You will build and refine financial crime prevention systems using Java (or JVM languages) with Spring, React/JavaScript/TypeScript, and CI/CD pipelines, working 80% backend and 20% frontend. You join the Account Integrity team, which protects Wise’s global platform against fraud via machine learning and real-time transaction monitoring, and you will own projects end-to-end.

Salesforce★4.2 (1.5k)· London

Success Architect works with Agentforce, Data Cloud, Salesforce Clouds, and data platforms like Snowflake, Databricks, AWS. They drive customer success by optimizing technical architecture for data unification and AI-driven automation, enabling personalized engagement and real-time decision-making.

You will work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, and MongoDB. The team designs and delivers real-time, high-performance trading systems for Energy & Commodities, integrating market data, risk, and front-to-back office workflows.

You will develop, maintain, and enhance Excel-based applications and add-ins using C#, .NET, Excel-DNA, VBA, SQL, and potentially Python. Working within a technology solutions team, you will support front-office investment teams (trading, research, portfolio management) by building tools that improve workflow automation, data access, and analytical capabilities.

You'll develop systematic HFT and market-making strategies in cryptocurrency markets using Python for research, signal generation, backtesting, and live performance analysis. Working with your own firm's capital, you'll own the full research lifecycle—from hypothesis to production deployment—optimising execution quality, latency, inventory risk and spread capture across global exchanges.

Design, build and deploy production Generative AI applications, LLM-powered solutions and agentic frameworks using Python, LangChain, LangGraph, and OpenShift. You will automate enterprise workflows with intelligent agents, working with PostgreSQL and pgvector as part of Citi’s COO-Technology team building scalable AI for global operations. This is an Individual Contributor Staff Engineer role.

Kingfisher★3.8 (77)· London

Senior Implementation Analyst at Kingfisher, working with GA360, GA4, Google Tag Manager, Tealium iQ, JavaScript, Tealium EventStream, Google Marketing Platform, and Google Cloud. You will design and implement tagging and measurement strategies for digital platforms, partner with Product, Data, and Analytics teams to drive optimisation, and manage tracking across websites and mobile apps.

Deloitte★3.9 (14k)· London

You will use Figma, React, TypeScript, and HTML/CSS to design and front-end code AI-powered agentic experiences, including conversational interfaces and agent-orchestration workflows for clients. The team reimagines how users interact with intelligent platforms, developing trust-centered, multi-step AI interactions. You will manage design workstreams and mentor junior designers and front-end developers.

EXL Service★3.7 (2k)· London

Design AI architectures on Azure using .NET, React, LLMs, RAG, OCR, and agentic frameworks (LangGraph, AutoGen, CrewAI) to build production-grade GenAI platforms. The role focuses on processing complex insurance documents for underwriting, claims, and reinsurance use cases. You will lead and mentor a team of .NET, React, and GenAI developers.

Design AI architectures on Azure using .NET, React, LLMs, Azure OpenAI, RAG, Agentic AI (LangGraph, AutoGen, CrewAI), OCR, microservices, and Azure AI Search. Build scalable GenAI platforms for intelligent automation in insurance functions like underwriting, claims, and reinsurance. Lead and mentor .NET, React, and GenAI developers.

Build and ship AI features using LLMs, retrieval-augmented generation (RAG), and Python or .NET, deploying on Azure. You will join Shawbrook’s AI Engineering squad to move AI from proof-of-concept into production-grade systems supporting lending, deposits, operations, risk, and customer experience.

Design, build, and deploy LLM/RAG pipelines, agentic workflows, and backend APIs in Python on Azure. You will drive production-grade AI for lending, deposits, risk, and customer experience at Shawbrook Bank. Mentor other engineers in the AI Engineering squad.

Work with Python, Azure, CI/CD, and LLM/RAG pipelines, including vector search and .NET. Build production-grade AI systems for lending, deposits, operations, risk, and customer experience in a regulated bank. Member of the AI Engineering squad.

You will work with Python or .NET, LLMs, retrieval-augmented generation (RAG), Azure, CI/CD, and APIs. The AI Engineering squad builds production-grade AI systems for lending, deposits, operations, risk, and customer experience at a bank.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

ExxonMobil★3.9 (5.7k)· London

Work as a Full Stack Developer using Python, Node.js, React or Angular, SQL/PostgreSQL/MongoDB, and cloud platforms like Azure/AWS/GCP. You will build and maintain scalable web applications, APIs, dashboards, databases, and data pipelines to support ExxonMobil's Global Trading organization's commercial and trading activities.

Work with Python, BeautifulSoup, Selenium, and Apify to scrape dynamic web content, extract data from complex structures, and deliver structured datasets. You will join the Tendem project, driving specialized data scraping workflows for real-world applications. LLM and AI frameworks are also used to enhance automation.

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

You will work with front-end technologies (HTML, CSS, JavaScript, React, Angular), back-end (Python, Node.js), databases (SQL, PostgreSQL, MongoDB), and cloud platforms (Azure, AWS, Google Cloud). You will design and maintain applications supporting commodity trading, market analysis, and risk management within ExxonMobil's Global Trading organization.

APL Logistics★3.3 (685)· London

You will work with Microsoft Fabric, Azure, Power Platform, ETL/ELT pipelines, APIs, and relational databases. This Regional Applications Team role manages data requests for EMEA and Americas, delivering data warehouses, pipelines, and automations for supply chain business users.

Use Python, Spark, C++/.NET/Java and relational databases to design and implement scalable software solutions for regulatory reporting. You will work with Trading and Control stakeholders to achieve regulatory outcomes, driving architectural direction across a large domain. This is a principal engineer role that mentors junior engineers and influences cross-functional strategy.

UST★3.7 (1k)· London

Work with Snowflake, DBT, Azure Data Factory, Python, Azure DevOps, Git, and .NET/C#. Build, enhance, and operate enterprise-wide data platforms supporting operational, analytical, regulatory, and AI-driven business capabilities.

DNEG★3.1 (36)· London

Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures using Python, PostgreSQL, and Redis. You will integrate generative AI models (ATMAN, VAANI) into production backends for a company operating at the intersection of enterprise Media Asset Management and generative media.