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Machine Learning Engineer
Build and deploy AI/ML systems, including LLM integrations and data pipelines, to power intelligent features for a modern platform using Python, cloud tools, and AI frameworks.
AWS CLOUD NATIVE DEVELOPER (BACKEND AND DATA PLATFORM EXPOSURE)
Builds AWS-based cloud-native backend services and data pipelines using TypeScript, Lambda, and Terraform to ingest and process automotive production alarm data for a global manufacturer.
Data Engineer
Designs and maintains pipelines to ingest premium bordereaux and other insurance data from external partners, ensuring accuracy and compliance with Azure-based data architecture.
Senior Software Engineer
Build and deploy AI models to predict Wi-Fi performance, detect anomalies, and optimize home-network connectivity for millions of devices using cloud and edge architectures.
Director, AI/ML for Risk & Climate in AWM
Leads AI/ML initiatives for risk and climate risk in Asset Wealth Management, building data ingestion, calculation, and visualization platforms while overseeing Glasgow-based teams.
Principal Machine Learning Engineer (Live Sports Insights)
Principal ML Engineer building real-time AI systems that turn live sports video and data into predictive insights and personalised fan experiences using computer vision, generative AI, and MLOps.
Head of Integration, Data & GenAI Engineering
Lead a team overseeing enterprise integration, data engineering, and GenAI platforms at a UK investment platform; set architecture standards, build scalable data pipelines, and integrate secure AI capabilities.
Head of Integration, Data & GenAI Engineering
Lead enterprise integration, data engineering, and GenAI teams at a fast-growing UK investment platform, shaping secure, scalable platforms and AI-driven solutions for financial services.
Google Cloud Architect
Design and demo AI-driven Google Cloud solutions, build agentic architectures, and lead client workshops to modernize infrastructure and create scalable, secure cloud-native experiences.
Software Engineer (DevOps) - Observability Platform
Build and maintain a scalable observability platform to monitor Revolut's global financial infrastructure, using tools like Prometheus, Grafana, and OpenTelemetry.
Data Architect (Cloud - AWS)
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Data Engineer
Design and maintain ETL pipelines that pull data from public APIs into Azure Blob and SQL databases, ensuring clean, reliable data for analytics and reporting.
AI-Driven Data Architect (AWS) - Hybrid London
Design and build large-scale data platforms on AWS, integrating AI to enable real-time analytics and business insights for enterprise clients.
Senior Data Engineer — AI/ML Data Platform (Remote)
Architect and scale AI-driven data pipelines for valuation tools and market analytics, building ingestion workflows and metadata infrastructure to power ML models.
Remote Lead Data Engineer — AI & Data Platforms
Lead a team building and scaling data pipelines and infrastructure that feed AI-driven valuation tools and market analytics for Qualifinds.
Senior data engineer
Senior data engineer builds scalable data pipelines and ML-ready platforms to ingest, transform, and secure financial data for analytics and modeling.
Data engineer
Data engineer contractor migrating and transforming SQL-based data for a high-impact transition project, ensuring quality and integrity.
Data engineer
Designs and builds cloud-based ELT/ETL pipelines on AWS/Azure and Databricks to integrate financial, ERP, and operational data for a renewable-energy IPP, then delivers Power BI reports for executives and investors.
Data Infrastructure Engineer
Build and operate PayPay’s AWS-based data infrastructure using Terraform and Databricks, ensuring reliability, security, and smooth data workloads for the fintech platform.
Data Engineer / データエンジニア
Builds and operates scalable data pipelines and platforms for a fast-growing fintech company, using modern tools like Databricks, Spark, and AWS to support banking services and fraud detection.