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 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.

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.

You'll work with Python, FastAPI, PostgreSQL, AWS services (RDS, S3, Redis, MongoDB), and AI-assisted development tools to design and optimize databases, build data-integration pipelines, and develop scalable APIs. The role owns the data layer powering M+C Saatchi World Services' platform, handling time-series, geospatial, and relational data across complex multi-source systems for a communications agency serving governments and international organizations. This is a full-time hybrid position in London, reporting to backend and data teams.

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.

Senior KDB developer working with kdb+, q, time-series databases, Unix/Linux, and scripting; also complementary tools like Python, cloud platforms (AWS/Azure/GCP), and AI development tools (GitHub Copilot, Claude). The role designs enterprise-scale kdb+ architectures and builds real-time/historical market-data solutions for a financial technology firm focused on market data and analytics platforms.

Work with Databricks, Azure, Python/PySpark, Git, CI/CD, and AI coding tools (GitHub Copilot, Cursor, Claude Code) to build and scale data pipelines for an investment management firm. You will design governance, monitoring, and security frameworks for a cloud data lakehouse while optimizing performance and producing production workloads. This is a key hire on a small, high-impact team.

You'll work with SQL, Python, dbt, Snowflake, Lightdash/Looker, Streamlit, and AI/agentic automation. As part of the Regional Financials Marketing Analytics team at a global money-movement company, you'll build and automate the technical infrastructure that explains marketing growth drivers and identifies strategic opportunities.

You will work with Azure (AI Foundry, AI Search, Cosmos DB, API Management, observability), Langfuse, Datadog, LiteLLM, MCP gateways, contemporary AI models, agent harnesses (Claude Code, Codex, GitHub Copilot), OpenTelemetry, LangChain, LangGraph, and Azure document-processing services. The team builds and experiments with AI agents and retrieval-augmented generation (RAG) systems at LSEG, a global financial markets infrastructure and data company. The role is at the Manager career stage.

LSEG★3.7 (402)· London

Work with Azure (AI Foundry, AI Search, Cosmos DB, APIM, observability), Langfuse, Datadog, RAG, vector databases, LiteLLM, MCP, contemporary AI models, Claude Code, Codex, GitHub Copilot, OpenTelemetry, LangChain/LangGraph, and Azure AI Document Intelligence. The role is within LSEG, a global financial markets infrastructure and data business. This is

LSEG★3.7 (402)· London

Use tools like Burp Suite, command-line tools, custom scripts, and automation; cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes); and secure coding practices in Java/Springboot, .NET, JavaScript/Node, or Python. The role bridges offensive security and engineering by translating penetration test results into remediation guidance for application and platform teams within LSEG's internal offensive security team.

Work with Python and common data science libraries, modern AI concepts including large language models and retrieval-based approaches, and tools such as GitHub Copilot, Databricks or MLflow. You will join a consulting team combining data science, AI and strategic problem-solving to deliver rapid insights, prototypes and analytical solutions across multiple industries.

Morningstar★3.9 (185)· London

You will work with Apache Flink, Kafka, .NET, Java, AWS, Terraform and Harness. You will build and operate a distributed, event-driven real-time data platform that processes billions of market data messages per day for Morningstar’s core business.

You will work with Python, .Net, Databricks, SQL, APIs, and Charles River OMS to design, develop, and deploy trading systems for an investment management consultancy. The role focuses on integrating and optimising platforms with technology teams, trading desks, and external vendors.

Citi★3.9 (21k)· London

Build and scale AI-powered financial systems using Java, Spring, React/Angular, Python, FastAPI, Docker, and GitHub Copilot within Citi’s global tech environment. You will design generative AI agents, LLM workflows, and RAG pipelines while working on enterprise microservices, mobile, or front-end development. This role is for an individual contributor on an agile team.

Barclays★3.9 (6.9k)· London

This Principal Engineer role requires C++/.NET or Java, Python, Spark, and relational databases. The position drives technical excellence and innovation for Barclays, designing scalable software solutions and mentoring engineering teams. You lead the engineering direction for a large team or sub-function, managing other people managers and acting as a deep technical expert.