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.

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.

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.

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.

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.

Build trading system platforms using Python, .Net, Databricks, SQL, Charles River, APIs, and the Alpha Data Platform. Collaborate with technology teams, trading desks, and external vendors to design, integrate, and optimise these systems.

Deloitte★3.9 (14k)· London

You will work with Python, JavaScript, Kafka, Azure, Kubernetes, Terraform, Helm, LangChain, PySpark, Databricks, and ADLS. You will design, develop, and deploy production-grade GenAI and machine learning systems for the GenAI team within Deloitte’s Data & AI organisation.

You will build mission-critical trading, risk, pricing, and valuation systems using C#, .NET, and SQL for a leading global alternative investment manager. The role involves designing scalable software solutions and collaborating with quantitative and investment teams.

You will work with Snowflake, DBT, Azure Data Factory, Python, SQL, Azure DevOps, Git, and CI/CD pipelines, and optionally .NET/C#, Azure Functions, and Azure Services. The Data Technology Platforms team builds, enhances, and operates enterprise-wide data platforms supporting operational, analytical, regulatory, and AI-driven business capabilities.

Python with GeoPandas, Shapely, Fiona, Rasterio, GDAL/OGR, PyProj; PostGIS; ArcGIS, QGIS, GeoServer, MapServer; ArcGIS Maps SDK, Leaflet, OpenLayers, Mapbox; TypeScript with Angular or React; Azure DevOps, GitHub; Copilot. You will build production-grade geospatial services, spatial data pipelines, and interactive mapping for a risk and analytics environment.

You'll work with C#/.NET Core, Angular/TypeScript, Python, LLMs, RAG, agent frameworks, and GitHub Copilot to prototype and build AI-driven solutions. The team builds next-generation AI and agentic analytics for a complex enterprise environment, integrating with existing platforms.

Zoopla★3.9 (18)· London

Work with Python, scikit-learn, PyTorch, TensorFlow, AWS (SageMaker, ECS, Lambda, SQS, DynamoDB), and MLOps tooling to build end-to-end ML pipelines. You will design and deploy production ML models that bring intelligent automation and predictive capability to the UK property market, using Alto's large dataset of real housing transactions.

You'll work with AWS (Lambda, EC2, EKS, S3, RDS), Terraform, Airflow, Snowflake, Python, MySQL, PHP, C#/.NET, React, and Docker/Kubernetes. The team builds ezyVet, a cloud-based Veterinary Practice Management Software that helps practices save time and improve patient care.

WTW★3.6 (1.7k)· London

Forward Deployed AI Engineer role at WTW where you will work with .NET, Azure, SQL, React/Angular, LLMs, retrieval pipelines, agentic workflows, and orchestration frameworks. You will design and deliver AI-enabled applications, copilots, and agents for the Health, Wealth & Career segment, solving real-world business challenges and embedding AI into enterprise workflows.