141 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 New York, United States US$135,000 – US$200,000 pa
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 strong engineering and ML foundations plus up to 25% travel to client sites.
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 Merseyside £45,000 – £55,000 pa
Builds and deploys predictive machine learning models across customer and commercial use cases, including segmentation, lifetime value, forecasting, propensity and churn. Works with senior stakeholders, analysts and engineers to operationalise models on cloud platforms such as Azure or GCP, moving beyond experimentation to measurable business value.
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.
Faculty London
Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
Faculty London
Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.
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.
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.
UCL London £46,261 – £48,679 pa
Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, the post is funded for four months.
Databricks United Kingdom
Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.
LENACRE GROUP LTD London £55,000 – £62,000 pa
Translate business requirements into working prototypes and production-ready tools using AI-assisted development and low-code platforms. Build automations across Microsoft 365, Power Platform, SharePoint, Power BI and Azure, reviewing AI-generated code for security and maintainability while working with stakeholders, infrastructure and governance teams.
Isomorphic Labs London
Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.
