751 to 775 of 931 Data Pipeline Jobs in the UK excluding London

technically minded role that blends traditional GRC responsibilities, including audits, risk management, policy, and due diligence, with engineering‐oriented skills like API integrations, data querying, and control automation. You’ll be a key player in maintaining our compliance posture across frameworks like SOC 2, NIST … This role suits someone who is equally comfortable talking to auditors as they are writing a query to pull evidence out of a data pipeline. What You’ll Do Audits & Framework Management Own or co‐own preparation for and execution of SOC 2 (Type I/II) audits ...

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 ...

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS. Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while #J-18808-Ljbffr ...

production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production. The role emphasises governance, CI/CD, and scalable data pipelines. ...

Viridien ( www.viridiengroup.com ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy … language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access ...

European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience … against a baseline, and demonstrably better than what it replaced. By month twelve: There is a working evaluation process others can use, a ranked pipeline of next opportunities, and at least two colleagues outside IT operating what you have built without you in the room. What We Offer ...

applications on AWS . Integrate Large Language Models (LLMs), vector databases, and modern AI frameworks into production systems. Build secure, reliable, and performant data pipelines to power AI applications. Collaborate with product managers, engineers, and stakeholders throughout the deployment lifecycle. Optimize AI solutions for performance, reliability, and cost. … developing Generative AI applications using modern LLMs. Strong understanding of AI application architecture, APIs, and distributed systems. Experience working with structured and unstructured data . Ability to rapidly prototype solutions and iterate in fast-moving customer environments. Excellent problem-solving and debugging skills. Strong communication skills with ...

inventory management and race operations. You'll work closely with engineers, product teams and business stakeholders to develop scalable Python services, APIs and data solutions that replace legacy systems and improve the flow of information across the business. This role offers the opportunity to make a tangible impact … across the full software development lifecycle, including analysis, design, implementation, testing, deployment, and support. Design and build maintainable, scalable Python services, APIs, and data pipelines. Capture business requirements and translate them into robust software solutions and architectures. Take ownership of technical work, delivering high-quality solutions on time ...

safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform … pipelines. REST APIs, Graph APIs, TMF Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. ...

existing codebase while growing your skills in an agile, supportive environment. Required Skills & Experience of the Software Engineer: Strong Python: Writing and maintaining data pipelines. Able to solve complex problems. Excellent written, oral and visual communication skills to explain complex information. Enjoys and works well in a team … modifying existing/legacy codebases; good documentation and PR practices. SQL Databases: PostgreSQL and SQLite experience (schema design, migrations, basicperformance tuning). Orchestration & data engineering: experience with workflow/orchestration tools (Prefect or similar) and distributed task queuing (e.g. Celery, RabbitMQ). Testing & automation: writing unit and basic ...

Worky in the United Kingdom seeks a Full Stack Engineer with a data science focus to bridge data engineering and user-facing dashboards for Zula 2.0, the platform ranking and fusing rail inspection data. This seat decides what analysts and customers see and drives progress through … year-end. You will design data pipelines, build dashboards with React, develop RESTful APIs, and deploy ML models on AWS, collaborating with analysts, engineers, and product managers across the rail business. #J-18808-Ljbffr ...

Somerset Bridge Group is modernising its data platform to enable analytics, reporting, and AI initiatives across Pricing, Underwriting and Claims. You will design and build scalable data pipelines on Azure Databricks and Delta Lake, with governance, security, and real-time processing at scale. The role sits … Enterprise Data Team and requires strong SQL and PySpark, plus experience with cloud-native data platforms. Hybrid working available, with 2 days in the office and 3 days from home. #J-18808-Ljbffr ...

dashboards. Working with key stakeholders to develop and deliver a digital transformation roadmap focused on efficiency, waste reduction and continuous improvement. Partnering with Data Science and AI teams to explore how predictive analytics can be integrated into production processes. Identifying opportunities to improve manufacturing performance through digital tools … automation, data insights and Industry 4.0 solutions. Creating governance and change management processes for internally developed digital tools, ensuring they are secure, structured and sustainable. Tracking the success of digital initiatives by defining and monitoring KPIs, ensuring digital investments deliver measurable improvements. Acting as the link between ...

JPMorganChase's Investment Banking Data Products team is seeking a Software Engineer III to design and deliver reliable data collection, storage, and analytics solutions that are secure, scalable, and compliant with enterprise standards. You will develop and maintain data pipelines using Python and Databricks … review controls for data protection, and apply AI-assisted development tools to improve quality while ensuring traceability and auditability. #J-18808-Ljbffr ...

JPMorganChase is seeking a Data Engineer to enhance, build, and deliver scalable data collection, storage, and analytics solutions for CIO, Treasury & Corporate Risk Management. You will maintain critical data pipelines across multiple technical areas and drive AI-powered data initiatives while ensuring ...

troubleshooting of the SOC’s technology stack(hardware and software). The engineer will also assist with the continueddevelopment and maintenance of data pipelines and signature updates and theprofessional development of the system engineering team. Tasks: Perform systemadministration on specific cyber defence applications and systems to includeinstallation, configuration … reported system incidents, problems, and events to ensure continuingoperability. Coordinatewith Cyber Defence and CTI Analysts in the management and administration theupdating of ingested data flows, cyber use cases and signatures for specialisedcyber defence applications in response to new or observed threats. Manage the compilation,cataloguing, distribution, and retrieval ...

JPMorgan Chase & Co. is seeking a Lead Data Engineer to join the Corporate Technology team in Glasgow. You will enhance, build, and deliver data collection, storage, access, and analytics solutions that support AI and analytics initiatives across the firm. The role emphasizes secure, scalable data pipelines and architectures, with a focus on governance and regulatory compliance. You will collaborate with cross‐functional teams to enable data-driven decisions, drive innovation, and raise the bar #J-18808-Ljbffr ...

Role Overview and Responsibilities TT Electronics, Bedlington , are hiring for a Lead Digitisation Engineer to lead the strategy, architecture, and implementation of automated data pipelines, IoT integration, smart manufacturing systems, and advanced analytics. Working directly to drive yield optimisation, predictive maintenance, and lights-out automation across our cleanroom … infrastructure. Key Responsibilities Include: Designing and owning the Industry 4.0 Strategy & Roadmap. Driving the integration of legacy and modern microelectronics equipment. Architecting robust data pipelines to collect, store, and analyse process data. Collaborating with process engineers to implement advanced process control (APC), statistical process control (SPC), and machine ...

Vertus Partners is seeking an experienced AI/data engineer to help with the greenfield design and build of the next generation data foundations that power search, analytics and AI-driven applications across the business. This is a hands-on role focused on designing robust data pipelines, improving data accessibility and creating scalable solutions that enable better use of information across a complex technology environment. #J-18808-Ljbffr ...

JPMorgan Chase & Co. in the United Kingdom seeks a Lead Software Engineer to design and deliver AI and data engineering solutions at scale, with a focus on secure, reliable production systems. You will drive agentic AI initiatives, build data pipelines, and collaborate across teams to align ...

Description About us Analytium is a boutique UK data and analytics consultancy - 14 people, 150 projects delivered for 50 clients. We are embedded in a UK tier-one bank, modernising one of the largest SAS estates in the country, because we build our own accelerators and we work … conclusions that survive a model validation review. The person will do estate discovery, own lineage and evidence capture, bring model lifecycle discipline, industrialise data pipelines, evidence rationalisation decisions so they survive audit, and work directly with credit risk, modelling and model risk stakeholders. Requirements Required Qualifications Strong practical ...

with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &MLOpspipelines for training … practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps Customize and apply Deep Learningand Gen AI models for various use cases based ...

deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make an AI system work, but how to make … reasoning, retrieval, summarisation and task-execution workflows. Build retrieval, memory, evaluation and guardrail capabilities around AI systems. Design and implement production pipelines covering data ingestion, processing and inference. Build search and retrieval systems across very large multimodal datasets, including text, imagery, telemetry and sensor data. Design indexing, embedding ...

public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute … .NET technologies. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Desired skills and competencies Hands-on experience ...

line in review. Fixing production problems calmly, usually with less tooling than you would like and someone waiting on you. Working alongside the data, AI and platform engineers so models, pipelines and infrastructure land as one product rather than three. Improving the day to day: CI/… code with Terraform, Ansible or similar, plus configuration management. Observability and incident response: metrics, logging, tracing. Message queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar ...