13 of 13 Remote/Hybrid Data Pipeline Jobs in Berkshire

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure ...

NegotiableReading, England Contract Principal Data Engineer - Secure Digital Platform (SDP) Data and Integration Location: Reading (hybrid working) Duration: Initially Until Feb '27 - but very likely to extend (new programme)(Inside IR35)Active SC Clearance Required Role details:We are looking for SC cleared Data Engineers to support our defence client on a contract basis. This role is focused on the Secure Digital Platform (SDP) Data and Integration, and will be based in Reading with hybrid working arrangements. The initial contract will run until February 2027, with a strong likelihood ...

Principal Data Engineer – Hybrid/Remote – (SC Cleared) THE COMPANY: A leading organisation undergoing a significant digital transformation is looking to appoint a Principal Data Engineer to play a key role in shaping its enterprise data platform and future analytics capabilities. Joining a growing … Data & Integration function, you’ll work alongside architects, product owners, and engineering teams to deliver modern, cloud-based data solutions that support business-critical decision-making. This is an opportunity to influence technical strategy, establish engineering standards, and drive the adoption of modern DataOps and cloud ...

Hybrid Working/Entertainment Industry/International Environment- A well-known Japanese entertainment company is recruiting for an experienced Data Analyst to join its Data Analytics team. The role supports end-to-end data analytics across the business. The ideal candidate should have … least 3 years of data analysis experience with strong Excel, Python and SQL skills, as well as the ability to communicate analytical findings clearly to non-technical stakeholders. (Ref: MK47548 - Please include this when making any enquiries.) Main Responsibilities Analyse sales performance by product, branch, language and region ...

Role Overview We have an exciting opportunity for a Lead Data Engineer to join our growing Data & AI function within FSP. The successful applicant will work alongside our architects and consultants to deliver high-quality data solutions across a variety of cloud platforms … more successful in delivering the insight to maximise and scale automated decision making. Responsibilities You will work as a leader to our wider Data Engineers; leading technical design and architecture discussions Mentoring and coaching team members Operating as a technical lead across multiple projects and teams. Understand customer ...

Pearson Carter is recruiting a Principal Data Engineer for a hybrid/remote role, focused on shaping an enterprise data platform. You will lead cloud-based data architectures and data pipelines, partnering with architects, product owners and engineers. Ideal candidates have 7+ … years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS/GCP, Databricks, Snowflake and CD/CI, DataOps, and data governance. #J-18808-Ljbffr ...

inspire new thinking and shape the world we live in. Job Details Why this job is important This role is about applying data science where it genuinely matters — in live, production environments that support large‐scale research operations around the world. As a Senior Data Scientist … Consumer Twins team you’ll work on advanced modelling and analytics that improve the quality, reliability and performance of high‐volume data systems. You’ll partner closely with engineering, operational and commercial teams, taking ideas from hypothesis through to deployment, and ensuring models deliver real value once they ...

About the role: At Tesco Mobile, we’re passionate about connecting people—and data is at the heart of everything we do. We’re looking for a Senior Data Scientist to join our team and help shape smarter, more personalised experiences for our customers.If you enjoy … policies for full detailsYou will be responsible for: In this hands-on role, you’ll work on both static and time series data (including propensity models and forecasting models), developing innovative models that enhance customer experiences and drive business performance. From personalised communications and marketing optimisation to customer ...

seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing … based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines for ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical ...

from day one—balancing innovation with risk, compliance, and resilience.Define and evolve secure architecture patterns for AI and GenAI systems, covering platforms, APIs, data pipelines, and model environmentsEmbed security into the design of AI solutions by identifying and mitigating risks such as data leakage, prompt injection … lifecycleLead Secure by Design (SbD) assessments for AI initiatives, ensuring the right level of review and controls based on riskCollaborate with Cloud, Data, Networks, and Digital teams to ensure secure configuration of AI infrastructure, including MLOps and compute environmentsGuide programmes and product teams with clear, practical recommendations that ...

balancing innovation with risk, compliance, and resilience. Define and evolve secure architecture patterns for AI and GenAI systems, covering platforms, APIs, data pipelines, and model environments Embed security into the design of AI solutions by identifying and mitigating risks such as data leakage, prompt injection … Lead Secure by Design (SbD) assessments for AI initiatives, ensuring the right level of review and controls based on risk Collaborate with Cloud, Data, Networks, and Digital teams to ensure secure configuration of AI infrastructure, including MLOps and compute environments Guide programmes and product teams with clear, practical ...

carbon-dioxide fluxes, and their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery … European Commission Strengthen ECMWF’s engagement with WMO G3W and take a proactive role in collaborations with the wider greenhouse-gas observation, modelling, data-assimilation and inverse-modelling communities, representing ECMWF where appropriate Design numerical experiments, develop robust scientific software and support the transition of scientifically mature developments ...

across all business areas Own end to end delivery: scope the work with team stakeholders, build it, test it against their data, and see it through to live running Use AI tools such as Claude Code, Open AI Codex, AI enabled IDEs to deliver solutions rapidly into … business Build bespoke integrations, data pipelines, and user-facing tools Feed learnings from the field back into our core product, shaping the roadmap with first-hand evidence Your Profile: Essential: Engineering background, preferably in the Computer Science, Mathematics, Software Engineering, Physics, and Data Science fields. 3+ ...