Infosys★3.8 (17k)· London

Lead Consultant role at Infosys: build Oracle Fusion HCM Cloud solutions for UK public sector clients using HDL, HCM Extracts, BI Publisher, Fast Formulas, Payroll Batch Loader, OIC, and Redwood. This technical architect handles HR modules (Core HR, recruiting, learning, talent, UK payroll, pension, OTL, absence), integrations, data migration, and SDLC delivery. Preferred experience managing a team of 10+.

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.

Microsoft★4.2 (9k)· London

Work with Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, Microsoft Fabric (Lakehouse, Data Factory, Spark, Power BI, Real-Time Intelligence), and Copilot to help organisations modernise their data estates and ground AI on their data. As a Solution Engineer, you lead strategic customer engagements, design architectures, and mentor peers within Microsoft’s Data & AI team.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

DeepMind★5.0 (2)· London

Lead a team building and shipping generative AI applications using Google’s models, working with TensorFlow, PyTorch, and Hugging Face. The role translates AI research into real-world products, rapidly developing new features and collaborating with researchers and product managers. Team scope is not specified.

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.

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.