4 of 4 Contract Data Pipeline Jobs in Bristol

Azure Data Engineer | £400 - £500 Outside IR35 | Bristol | Hybrid | 6-Month Initial Term | A large-scale data transformation programme is underway, and our client is looking for an experienced Azure Data Engineer to support the rebuild of their cloud data platform. This … role is hands-on and delivery-focused — you’ll be designing and developing Azure-native data pipelines, working extensively with Databricks, and shaping scalable data models across the Microsoft ecosystem. The role would require you to be on site in Bristol 4 days per week, please ...

sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ...

Industry Experience Required. Payrate: £400 - £500 per day INSIDE IR35 Umbrella The Mission We need an experienced Delivery Lead to drive high-priority Data & Analytics initiatives for a major Telco. You will lead a cross-functional squad (onshore & offshore) to deliver a GCP platform re-architecture and automated … self-serve reporting (Qlik/Looker/PowerBI). What You'll Do Lead Delivery: Manage sprint ceremonies, backlogs, and flow for data engineering and analytics teams. Manage Vendors: Coordinate effectively with offshore partners to ensure seamless delivery. Unblock: Navigate complex data dependencies and remove impediments ...

will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ...