143 jobs
Palantir Technologies New York, United States US$145,000 – US$200,000 pa
Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.
Palantir Technologies Palo Alto, United States US$145,000 – US$200,000 pa
Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.
Tenth Revolution Group Southampton £55,000 – £65,000 pa
Designs and builds scalable cloud data solutions, migrating a legacy SQL environment to Azure Databricks. Works with Python, PySpark, Delta Lake and Unity Catalog to create pipelines, transformation frameworks and governed data layers supporting analytics and self-service BI.
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Owns end-to-end data science work spanning machine learning, AI, forecasting and business-critical analytics. Builds and optimises data models, scalable pipelines and Power BI dashboards on cloud platforms such as Snowflake, while translating stakeholder requirements into data-driven solutions and presenting findings to technical and non-technical audiences.
Real Berkshire £500 pd
Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.
Matchtech Surrey £50,000 – £75,000 pa
Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.
Michael Page United Kingdom £60,000 – £65,000 pa
Designs, builds and maintains scalable Azure data pipelines using Data Factory and Databricks, with SQL, data modelling and Python or Scala. Works with analytics teams to gather requirements, optimise performance, troubleshoot workflows and implement data security and governance. Two 12-month fixed-term roles supporting a not-for-profit's analytics projects.
Additional Resources Alloa
Day-to-day work centres on managing and analysing operational data from renewable energy assets, including SCADA telemetry, to monitor output, availability, downtime and faults. You will build Python-based models and automated pipelines, create dashboards and reports, and check contractor performance against contractual KPIs. The role also involves troubleshooting data infrastructure such as networks, VPNs and industrial routers.
Searchability NS&D London £40,000 – £50,000 pa
Hands-on engineering role building Python-based applications, services and data solutions for a public sector consultancy. Involves developing ETL/ELT pipelines, working with AWS, Azure or GCP, applying Git, testing and CI/CD practices, and supporting cloud infrastructure with Terraform/IaC. Works within Agile, multidisciplinary teams alongside data specialists and client stakeholders.
Harnham - Data and Analytics Recruitment Newcastle upon Tyne £75,000 – £84,000 pa
Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.
Searchability NS&D Manchester £40,000 – £50,000 pa
Hands-on engineering role building and maintaining Python-based applications, services and data solutions for a public sector consultancy. You'll develop data pipelines and ETL/ELT processes, work with AWS, Azure or GCP, and apply software engineering practices including Git, testing, CI/CD and Terraform/IaC within Agile, multidisciplinary teams alongside client stakeholders.
Fort Recruitment Birkenhead £50,000 – £55,000 pa
Operates the observability and data infrastructure behind an industrial energy-telemetry platform, covering the full data lifecycle from ingestion and storage to transformation, analysis and visualisation. Builds and maintains ETL/ELT pipelines over time-series and event data, creates dashboards and alerting tools, and integrates platforms with custom software and external APIs. Full training is provided and the employer values engineering judgment over specific prior tooling.
Lynx Recruitment London £60,000 – £80,000 pa
Hands-on engineering role implementing production-grade Google Cloud solutions for enterprise clients, spanning infrastructure, data platforms and AI. You will build and manage GCP infrastructure with Terraform, run containerised workloads on GKE, Docker and Cloud Run, maintain CI/CD pipelines, and deliver migration and modernisation projects alongside architects and customers.
Tenth Revolution Group Reading £60,000 pa
Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.
VIQU IT Recruitment London £100,000 – £110,000 pa
Lead large-scale data transformation programmes for an insurance organisation, owning the roadmap from planning through delivery and supporting adoption of an Enterprise Data Platform. Work across business, IT and data teams to define requirements, track value from data and AI initiatives, and manage risks, budgets and governance. Hybrid role with three days per week in a London office.
