26 to 35 of 35 Data Pipeline Jobs in Edinburgh

seeking an experienced Architect specializing in infrastructure and software architecture to shape how AI workloads are designed, placed, and scaled across on-premises data centres, edge environments, and public cloud. This is an architecture leadership role: you will own the reference architectures, decision frameworks, and technical standards that … architecture for workloads spanning the on-premise server and public cloud compute and GPU estate. Define the patterns teams use for hosting, compute, data pipelines, training and fine-tuning, model serving, and retrieval-augmented systems. Workload Placement and Portability: Establish the decision framework that determines where a given ...

FanDuel is seeking a Senior Engineering Manager to lead teams of data engineers and consultants in building scalable data pipelines powering BI, analytics, fraud detection, and reporting. You will partner with Data Architects, Product Managers, Analytics, and Engineering to set strategy, govern platforms … ensure reliable, cost-effective data services. You will mentor and grow a high-performing team, balance hands-on engineering with people leadership, and drive data-driven decision making #J-18808-Ljbffr ...

CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform. The Senior Data Engineer (ML) will build and migrate data pipelines feeding model training and inference, ensuring parity with the old Databricks setup. This hands-on role operates ...

security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex … future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...

security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex … future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop. We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview ...

that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. … integrations. Agents are only as capable as the systems and context they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable. Influence technical direction. You have opinions about how things should be built ...

that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. … Design tool integrations. Agents are only as capable as the systems they can reach. You design and build the tool layer: MCPs, APIs, data contracts, and the error handling that makes tool use reliable. You work closely with the wider engineering org building Multiverse's customer-facing product ...

manage performance, identify learning opportunities, and serve as an escalation point for important inquiries. The role sits at the intersection of client reporting, data engineering, and people management, requiring hands-on depth in data pipelines and client reporting with a proven track record of leading cross ...

that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. … domain-specific metrics that tell the team whether its AI systems are doing what they should Own the integration layer. APIs, MCPs, data contracts, and the tooling that makes existing Multiverse systems agent-accessible Set technical direction. You break ambiguous problems into work the squad can ship, make ...

that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. … into the architecture rather than bolting it on later. Build the integration layer that makes existing Multiverse systems agent‐accessible. APIs, MCPs, shared data contracts, and the tooling that connects agents to the platform, content systems, and the tools the company runs on. This means building real working ...