7 of 7 Data Pipeline Jobs in Northamptonshire

hiring a Senior Data Engineer to help shape the future of data-driven transformation for our clients. At TEKenable, a multi-award-winning Microsoft partner and one of Deloitte s Fastest 50, you ll work with cutting-edge technologies like Microsoft Azure Synapse, Microsoft Fabric … Power BI. In this customer-facing role, you ll collaborate directly with clients to solve complex data challenges, delivering scalable solutions that drive real business value. This role is open to applicants across Ireland and the UK but we are unable to provide visa sponsorship. ...

know-how Bonus Points If You Have built complex workflow orchestration systems Know your way around cloud infra Have experience building integrations or data pipelines Love mentoring and growing teams Why Join Saris AI? Join us in building the future of work for the trillion-dollar banking industry ...

hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern … Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB/RTIM/arbitration logic knowledge Advanced ...

Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. … development to production. You ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you ll own the end-to-end development of our revenue management application ensuring hotels have ...

/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models/solutions from data pipelines to API deployment and user-facing delivery. Collaborate with product managers, compliance experts, and engineers to translate business needs into intelligent technologies. Build robust backend … agentic workflows), ensuring security and compliance standards are met. Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation. Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: 3+ years of production experience delivering fullstack AI/ ...

Contract basis. The role supports performance monitoring of the SEND DMP and SEND service decision-making. You will work with the Data Group, SEND Business Analyst, the Capita lead and the head of Service for SEND. About the role: Based in Central London (Hybrid - 2 days on site … Design and develop visually compelling and interactive Power BI dashboards and reports. Translating business requirements into technical solutions Connecting to a variety of data sources (Capita, SQL Server, Excel, SharePoint, APIs, etc.). Model data efficiently (e.g. star schema) for performance and scalability. Collaborate with ...

making models trainable, deployable, observable, and performant under real-world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA … distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency ...