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Python Developer
Build and evaluate ML/AI models in Python, TensorFlow, and Spark for fintech risk-management use cases, collaborating with cross-functional teams.
Senior Engineer, Data Engineering
Build and maintain AI-driven data pipelines for financial crime detection, using Spark, Python, and big-data tools to process and transform transaction data at scale.
Middle Azure Data Engineer - Barcelona
Designs and builds scalable data pipelines in Azure and Microsoft Fabric, from ingestion to insights, using PySpark, Azure Data Factory, Synapse, and Power BI.
Data Engineer - Remoto
Build and maintain AI-driven data pipelines for anti-money-laundering systems, transforming raw financial data into features that power real-time fraud detection for global banks and fintechs.
Business Intelligence Analyst (Insight & Performance)
Build and maintain Power BI dashboards and SQL queries to turn housing-association data into clear performance insights for leaders and regulators.
Manager - Lead AI Engineer
Lead AI Engineer at KPMG UK drives AI-driven audit solutions, collaborating with cross-functional teams to build scalable ML systems (e.g., generative AI, NLP) on Azure/Databricks for enterprise-grade workflows.
Modern Software Developer, Senior
Builds end-to-end analytics solutions for government clients, focusing on data processing, AI/ML integration, and full-stack development (JavaScript/TypeScript, Python, React, Node.js) to drive actionable insights in a mission-critical environment.
Data Engineer (IBM Cognos)
Build and maintain analytics and reporting solutions using IBM Cognos and Power BI, extracting and transforming data to deliver insights that drive retail banking decisions.
Product Engineer (Advance Data Analytics)
Key Responsibilities Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits…
Data Quality Assurance Engineer Intern, Marketplace Intelligence and Data
Intern role ensuring high-quality annotated data for AI models by developing quality pipelines, SOPs, and evaluating outputs for Shopee’s e-commerce and AI systems.
Senior Data Engineer in Risk Reporting
Build and maintain data models, ETL workflows, and reporting dashboards for credit risk in a large European bank, using Python, SAS, and Power BI.
Data Engineer for NUS AIDF CRI Team
Research fellow builds credit-risk models and NLP tools using machine learning and financial data to publish in journals and support external consulting projects.
Senior Engineer - Data Science
Build, train, and deploy ML models on OCI Data Science, then productionize them as REST APIs with MLOps and CI/CD while monitoring performance and drift.
Full Stack Engineer
Build and maintain SaaS insurance software while integrating AI coding tools to accelerate development and shift toward an agentic software lifecycle.
Production Support Engineer
Credigy is seeking a Production Support Engineer to join our Data and Automation team. This role is responsible for supporting, monitoring, troubleshooting, and improving production data pipelines across both modern…
Junior AI & Data Engineer
A junior AI & Data Engineer role focused on learning data engineering, ML fundamentals, and ETL pipelines under mentorship, working on Python/SQL-based projects for AI/ML initiatives.
Senior Data Scientist - AI Research & Reliability
Build and ship AI-powered conversational agents and NLP models that analyze sales calls, extract insights, and automate workflows for revenue teams using LLMs, RAG, and agentic systems.
Python Machine Learning Engineer (Hybrid - Madrid)
Build and deploy enterprise-grade AI solutions using LLMs, RAG, and AI agents, optimizing models and workflows in Python with TensorFlow/PyTorch.
Business Intelligence Manager
About the Company Our client is a respected membership organisation representing a major UK industrial sector. About the Role An exciting opportunity has arisen for an experienced data and insights professional to take…
Investment Data Analyst
Analyze and quality-control investment risk data (factor exposures, fundamentals, holdings) using Python, SQL, and vendor tools like Bloomberg and Axioma to ensure accurate, timely analytics for portfolio managers.