155 jobs for “Data Engineer”
Palantir Technologies London
Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires travel up to 25% to client sites.
Palantir Technologies Sydney, Australia
Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Builds a modern analytics capability from the ground up, designing scalable data models in a cloud platform and improving data quality, standardisation and reconciliation across fragmented source systems. Develops forecasting, machine learning and predictive models, supports AI document processing, and creates Power BI dashboards for senior leadership, working with Snowflake in a small collaborative team.
Harnham - Data and Analytics Recruitment London £70,000 – £90,000 pa
Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.
Faculty London
Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while building production-grade systems in Python.
Faculty London
Lead technical direction on complex, business-critical AI projects for life sciences clients, balancing speed, innovation and reliability. Designs production-grade ML solutions, runs feasibility studies for high-value sales, and mentors data scientists while managing technical stakeholder relationships across engineering and commercial teams.
Capital One Lincoln
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.
Capital One Mansfield
Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, mentors junior team members and drives prototypes through to production in a hybrid Nottingham team.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while leading a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.
Michael Page Hertfordshire £60,000 – £65,000 pa
Owns supply chain master data governance and data integrity across plan, source, make and deliver processes in ERP systems. Builds dashboards and analytics in Excel and Power BI, applies automation and AI tools to improve planning accuracy, and leads process mapping, root cause analysis and continuous improvement. Acts as key user for supply chain systems, supporting testing, implementation and training.
Databricks London
Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating Solutions Architects, Professional Services and support teams, and reporting on usage, adoption and customer health.
The University of Manchester Manchester £48,337 – £59,390 pa
Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.
Blackwaters CG Ltd Farnborough £40,000 – £50,000 pa
Lead the development of Business Intelligence capability for an investor-backed business services company, designing enterprise-quality Power BI dashboards, semantic models and self-service reporting. Build Azure-based data pipelines and ETL processes while applying commercial analysis to support pricing, forecasting and growth modelling. The role also involves close engagement with senior stakeholders to shape data strategy and champion data literacy.
University of Sheffield Sheffield £32,080 pa
Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.
Gleeson Recruitment Group Birmingham £90,000 pa
Owns the full model lifecycle for credit risk, affordability and pricing models, from problem definition and feature engineering through validation, deployment and monitoring. Builds monitoring frameworks and dashboards, explores challenger models and A/B testing, and translates analysis into commercially focused insights for Data, Risk and Product stakeholders in an SME lending context.
