LiveScore Group★3.4 (14)· London

You will work with Python (pandas, numpy), SQL, and MMM frameworks (Meta’s Robyn, Google’s Meridian, PyMC). The Marketing Analytics team builds and refines statistical models to measure ROI and optimize marketing spend for LiveScore Group’s sports brands.

FDM Group★2.9 (270)· London

This role is with FDM Group, supporting a major Enterprise Data Platform transformation within UK Banking. You will work with Databricks, Snowflake, and AWS, designing and governing Medallion Architecture (Bronze, Silver, Gold) patterns, data models, and data products for Business Banking domains. As Data Architect, you will own end-to-end data architecture and align data governance standards.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

The AA★3.1 (797)· London

The role involves designing AI solution architectures using Large Language Models, Retrieval Augmented Generation, AI agents, orchestration frameworks, and cloud-native architectures within Azure, AWS, or a comparable environment. The team within the Chief Operating Office builds enterprise AI to power products, services, and internal capabilities for the AA’s motoring organisation.

Use Python (strong knowledge), Hadoop, Spark, or similar big data tools, cloud platforms (AWS, GCP, Azure) and data warehousing solutions to design and implement models that forecast and manage liquidity for Wise’s Treasury team, ensuring enough cash is in the right place at the right time while controlling liquidity risk.

Capgemini★3.7 (11k)· London

Works with Neo4j, Amazon Neptune, Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Designs and implements an enterprise knowledge platform using knowledge graphs, RAG, and GraphRAG to enable AI agents across Insurance, Payments, and Healthcare domains. Leads platform strategy and cross-functional engineering teams.

You will define security strategy and build a security organization spanning Application Security, Infrastructure Security, and Governance, working with AWS, Kubernetes, container security, Infrastructure-as-Code, and CI/CD pipelines. This role focuses on embedding security as an engineering discipline into cloud-native platforms, software delivery, and DevSecOps practices within a technology company. You will lead multi-disciplinary security teams across Application Security, Infrastructure Security, and Information Security.

Allianz★3.8 (3.4k)· London

You will work with Python, SQL, SAS, Databricks, and Willis Towers Watson Radar to develop and implement rating proposals for Allianz’s broker motor portfolio (standard car and van). The Standard Motor Risk Selection team coordinates pricing analysis and technical projects to improve underwriting performance.

Monitor security alerts and events across enterprise systems, endpoints, cloud platforms, and networks using Microsoft GCC High, CrowdStrike, EDR/XDRs, PIM/PAM tools, SIEMs, and Azure Sentinel. You will support triage, investigation, and response activities to defend a mission-focused defense technology company with multiple offices in the US and UK.

Fortinet★3.7 (188)· London

Work with Python, Microsoft SQL, Mongo, Postgres, and Tableau to maintain data pipelines, ETL processes, and REST API integrations. Support Sales Operations by managing databases that serve as the foundation for AI and LLM-powered tools across the organization.

Work with SQL, Python, AI tools (LLMs, AI agents), and data visualization tools (Tableau, Power BI, D3.js) on AWS, Snowflake, Postgres, and MySQL. Analyze private markets and alternative investment data, extracting insights from unstructured text (PDFs) and collaborating with Product and Machine Learning teams.

You'll use Python, SQL, and production ML models (gradient boosting, neural networks, linear models) to build recommendation, churn, and uplift systems. The CRM tribe personalises customer journeys—onboarding, engagement, retention—by recommending the right product at the right moment. This is an individual-contributor (IC) role with end-to-end ownership of data pipelines and model delivery.