2 of 2 Data Ingestion Jobs in Oxfordshire

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI … solutions. This role offers the chance to work with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and … anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of More ❯

Developer – Energy Trading, Markets We’re seeking a proactive Trading Developer to architect and enhance the data and process backbone of our trading environment. You’ll design and implement backend APIs, real-time data pipelines, and monitoring frameworks—ensuring reliable, low-latency access to market and operational data. … Service Development Design, develop, and maintain robust internal RESTful and event-driven APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of … market and industry data. Azure Deployments Deploy and operate services on Azure using Functions, App Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive More ❯