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.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

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.

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.

Work with Python, C/C++, TensorFlow, PyTorch, and Embedded Development Kits to support customers integrating Innatera's Spiking Neural Processor technology for ultra-efficient AI at the edge. Act as technical advisor, translating customer feedback into product improvements, and conducting workshops and design reviews.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.