76 to 91 of 91 Data Pipeline Jobs in the South East

TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits) My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support … their offices in Reading. The Machine Learning Engineer will ideally have the following attributes: Knowledge/experience in Machine Learning, Artificial Intelligence, or Data Science A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar Strong programming skills ...

Were seeking a Data Platform Engineer to design and build a modern enterprise data platform using Microsoft Fabric. Youll play a key role in architecting a secure, scalable and high-performance cloud environment that enables advanced analytics and data-driven decision making. This … hybrid role with 1 day a week in the Milton Keynes office. You will - Design and deliver a cloud-native data platform in Microsoft Fabric. Build and optimise data pipelines, lakehouse/warehouse solutions and semantic models. Implement Platform as Code (terraform) and CI/ ...

Lead Data Engineer - Databricks - £75-80k + bonus + benefits - Basingstoke 3 days a week The Opportunity: We are looking for a Lead Data Engineer with good Databricks expeirence to join a Basingstoke based organisation who are investing heavily in their Digital Transformation Programme. … lead a small team whilst contributing personally - Be able to drive agile, modern engineering practises - Champion quality, observability and good engineering discipline, ensuring pipeline and models run cleanly and predictably ...

pricing of Commercial Vehicles, including the following core activities: Be a key stakeholder influencing the direction & outcome of projects Advance the adoption of data science & statistical techniques Develop reporting structures to monitor pricing performance in an automated fashion Develop innovative solutions to improve rating accuracy/efficiency Working … maintain risk models, leveraging both traditional and machine learning techniques. Support delivery of the pricing & underwriting business plan across Motor. Work with the Data Science and Machine Learning teams to define and automate data ingestion, modelling, analysis, model monitoring and reporting. Advance the adoption ...

play a key role in shaping the technical capabilities that power product discovery, advertising performance, and customer engagement. If you enjoy solving data flow challenges and making sure marketing platforms have the right information at the right time, this role offers plenty of impact. The Company They … multi-category marketplace and an advanced digital marketing ecosystem. With significant investment in their Martech stack, they are scaling new capabilities across product, data, and marketing teams. Their environment combines enterprise-level engineering with fast-moving commercial objectives, giving you the chance to influence how data ...

Senior Technical Lead (AI & Data Platform) Oxford, UK (Hybrid) An early-stage, mission-driven technology company is hiring a Senior Technical Lead to help build a next-generation analytics platform used by major investors, regulators, and infrastructure operators. Intersting applications to the sustainability space, and investor landscape. This … hands-on technical role working directly with the founders to design and build a scalable platform that combines data engineering, AI modelling, and modern web applications . You will shape the architecture, engineering standards, and technical direction of the platform while helping turn complex analytical models into production ...

world's leading providers of Cloud Solutions. You will be responsible for end to end delivery of Google Cloud-lead data, analytics and AI programs. You will be using the latest technologies with clients to help them get to the next level. Do you want to work … range of new skills on the job. As a Senior Manager, you will: Own end-to-end delivery of large-scale Google Cloud Data & AI transformation programs. Act as the onshore delivery authority for UK clients, accountable for scope, quality, timelines, risk, and financials; Lead delivery across Google ...

technology- playing a critical part in enabing advanced analystics and driving commerical decision making. You'll work closely with Quant Analysts, Fundamental Analysts, Data Scientists, Developers, and Product Owners. The focus is on translating complex analytical and modelling requirements into scalable data and platform solutions … Analytics and Quantitative teams Analyse and document complex modelling and forecasting requirements Support the evolution of the Analytics & Modelling Platform, including modelling frameworks, data pipelines, and analytical tooling Define requirements for large, complex datasets (market data, weather, flows, storage, fundamentals) Support Python-based analytics and modelling ...

expertise in algorithm development, optimization modelling, and power system techno-economic assessment. The ideal candidate will have deep knowledge of Pythons core features, data analysis, web frameworks, and modern development practices. Experience with mathematical optimization tools, containerization, and message-queue technologies will be considered a significant advantage. Mode … Software Engineering Develop, optimize, and maintain software using core Python features including iterators/generators, exception handling, file handling, type hints, OOP, and data structure design. Build scalable algorithms and write clean, maintainable, and well-structured code. Develop and maintain RESTful APIs using OpenAPI/Swagger, Connexion ...

/systematic strategies Solid academics What You'll Be Doing Designing and building high-performance trading systems alongside traders and quants Creating data pipelines to ingest and process large volumes of market data Developing monitoring tools and dashboards for live trading environments Improving engineering standards through … qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice. ...

thrives on building clean, scalable systems quickly. You’ll play a key role in shaping our backend architecture—from API design and data pipelines to job processing and observability. What You’ll Do Design and build robust backend systems Architect scalable infrastructure for job processing, analytics, and event … code Stay current with emerging technologies and apply them thoughtfully Qualifications Languages: Python, TypeScript Infrastructure: AWS (ECS, SQS, Parameter Store), Docker, GitHub Actions Data: Postgres, Redis Monitoring: LogFire, Sentry CI/CD: GitHub Actions About You 4+ years of experience building production-grade backend systems Skilled at writing ...

Were looking for a skilled Azure Data Engineer with hands-on experience in Microsoft Fabric to join our growing data team. If youre passionate about building scalable, modern data platforms in Microsoft Azure, wed love to hear from you. What Youll Do Design, build … maintain scalable data pipelines using Azure services Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Wa click apply for full job details ...

production environments. Monitor database health and perform routine maintenance tasks including index optimisation, table maintenance, and schema modifications. Work with Development and Data engineering teams to optimise performance & cost of data pipelines Manage database capacity planning and storage allocation to ensure adequate resources for current … availability solutions including replication, clustering, and failover configurations. Document database architectures, configurations, procedures and policies. Implement appropriate security controls to ensure databases and data are protected. Ensure database backup, validation and disaster recovery capabilities are in place and rehearsed. Provide insight and recommendation on the adoption and consolidation ...

Data & Statistical Modelling Engineer Oxfordshire £Competitive + Good Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries … scale next-generation manufacturing systems. The Role Laser Powder Bed Fusion machines generate vast streams of data. The successful candidate will turn that data into insight and predictive power. Responsibilities include: Building statistical and machine learning models to predict machine and component performance Identifying key drivers of variation ...

closely with Product and Design teams to deliver intuitive, scalable workflows and user experiences across customer-facing applications. Solve complex engineering challenges involving data pipelines, secure access control, system observability, and large-scale SaaS infrastructure . Shape engineering practices across teams, embedding quality, security, agility, and DevOps principles … scaling high-performing engineering teams , including hiring, mentoring, performance frameworks, and career progression Experience working with cybersecurity platforms or large-scale security data , ideally within threat intelligence or offensive security environments Track record building engineering organisations within early-stage or high-growth B2B SaaS startups serving enterprise clients ...

looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities … Develop, train, and optimise machine learning models to support business and technical objectives. Build and maintain data pipelines, ensuring high-quality, reliable data for model development. Deploy ML models into production environments and monitor their ongoing performance. Work closely with engineers and analysts to integrate models ...